[ { "id": "4472485817", "title": "Senior Infrastructure Engineer", "company": "Jimdo", "location": "德国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472485817/", "queries": [ "LLM engineer @ Worldwide", "Golang backend engineer @ Worldwide", "Python backend engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide", "Full stack engineer Python React @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nJimdo\n\nSenior Infrastructure Engineer \n\n德国 · 的时间: 6 分钟前 · 4 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About Jimdo\n\nWe exist to unleash the power of the self-employed - helping solopreneurs and micro-businesses thrive by doing what they're passionate about and removing the complexity of building lasting, successful businesses.\n\nJimdo started in 2007 when three school friends built a website builder in a Northern German farmhouse to help everyone build a presence online. Today, we're a profitable, remote-first company with 220+ people from 50+ nationalities working across 15+ countries. We've helped build over 36 million websites to get online across the world.\n\nWe're more than just a website builder. We're an AI-powered platform that helps self-employed people actually run and build successful businesses — from getting found online, winning customers and running their business with a peace of mind by knowing exactly what to do next to move forward.\n\nAt the heart of Jimdo is a strong belief in personalized, data-driven guidance. Our platform combines design, business tools, and an AI-powered core that turns real customer data into clear insights and next steps helping our customers focus on what moves their business forward.\n\nRole Overview\n\nAs a Senior Infrastructure Engineer, you'll join Wonderland, Jimdo's internal Platform Engineering team responsible for the cloud platform that every engineering team builds on. We solve infrastructure challenges once so product engineers don't have to—providing a reliable, secure and self-service platform that powers deployments, observability, networking and developer workflows across the company.\n\nYou'll work on a modern stack including AWS (EKS), Kubernetes, Terraform, Cloudflare, Vault, Grafana Cloud and GitHub Actions, helping evolve the platform while improving reliability, developer experience and operational efficiency. As part of a small, senior team, you'll have broad ownership, influence platform strategy, and build solutions that have an impact across every product team at Jimdo.\n\nYour Impact\n\nDesign and manage scalable cloud infrastructure using Terraform and Kubernetes.\nBuild and improve CI/CD pipelines and GitOps deployment workflows.\nEnhance observability through monitoring, logging, alerting and incident management.\nImplement platform security, secrets management and infrastructure compliance.\nPartner with engineering teams to improve deployment reliability and developer experience.\nContribute production-quality code, primarily in Go, to platform tooling and automation.\nExplore and integrate AI tools that improve engineering productivity and operational excellence.\n\nWhat You Bring\n\n5+ years in Infrastructure Engineering, Platform Engineering, DevOps or Site Reliability Engineering.\nStrong experience with Kubernetes in production.\nDeep knowledge of Terraform and Infrastructure as Code.\nExperience with AWS (EKS preferred).\nExperience with GitHub Actions, ArgoCD or similar CI/CD tooling.\nFamiliarity with Grafana, Prometheus, Loki or modern observability platforms.\nComfortable writing production code (Go preferred).\nPassion for platform engineering, automation and solving problems at scale.\n\nWhat We Offer\n\nInspiring Mission: At our core, we are driven by a meaningful mission - to empower solopreneurs and small businesses to succeed and to contribute to the sustainability and vibrancy of the communities they serve.\n\nFlexibility and Trust: Our work environment thrives on flexibility and trust. We offer fully remote work set-up with opportunities for in-person collaboration. You can manage your working hours flexibly because we prioritize the results you deliver over the number of hours you put in.\n\nAn International Diverse Team: Our team is a mosaic of over 248 individuals hailing from 50+ different countries and working across 15+ diverse locations. We take pride in our openness and inclusivity, with an Employee-led DEI Council and active ERGs that ensure everyone's voices are heard.\n\nContinuous Growth and Career Development: We invest in your growth with company-wide access to LinkedIn Learning and Hack Weeks, Deep Work Thursdays, conferences and access to technical eLearning platforms. From day one, you have the chance to contribute your ideas and create a meaningful impact. Our flat hierarchies and swift decision-making processes provide an open platform for your career progression.\n\nCompetitive Benefits Package\n\nAnnual compensation reviews to ensure you're rewarded fairly.\nA remote office set-up bonus to enhance your workspace.\nAn employee assistance program, offering resources and counseling.\nPlus, a perk that keeps giving: up to three free Jimdo websites for your personal or professional projects that you get to keep forever.\n\nJimdo is proud to be an equal opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. Our diverse team values and celebrates the uniqueness of each individual. We embrace differences and believe that they enrich our organization, making us stronger and more innovative. Join us, and let's continue to create a workplace where everyone can thrive, regardless of background or identity.\n\nBy sending your application, you declare that you read and understand the Jimdo Applicant Privacy Policy\n… 更多\n\n订阅相似职位\n\n高级基础设施工程师，德国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 43, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+8 DevOps/CI", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [ "少会议" ], "new": true }, { "id": "4472465044", "title": "SailPoint IdentityIQ Entwickler (m/w/d)", "company": "WertFels GmbH", "location": "德国 (远程办公)", "salary_text": "", "posted": "13 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4472465044/", "queries": [ "LLM engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nWertFels GmbH\n\nSailPoint IdentityIQ Entwickler (m/w/d) \n\n德国 · 的时间: 13 小时前 · 12 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存", "description": "Bei WertFels bauen wir unabhängige IAM und PAM Beratung für Banken, Versicherungen und die Automobilbranche auf. Wir arbeiten für Kunden wie MAN, apoBank und Toyota und wachsen als junges Beratungshaus stetig weiter. Als SailPoint IdentityIQ Entwickler gestalten Sie von Anfang an mit, wie wir Identity Lösungen für unsere Kunden umsetzen.\n\nIhre Aufgaben\n\nAnpassung und Weiterentwicklung von SailPoint IIQ inklusive eigener Java Erweiterungen\nEntwicklung und Wartung von Konnektoren und Schnittstellen (AD/LDAP, SCIM2.0, SAP, JDBC)\nUmsetzung von Joiner Mover Leaver Prozessen und Rezertifizierungen\nKonfiguration von Regeln zur Funktionstrennung (SoD)\nVersionsverwaltung mit Git sowie Aufbau und Pflege von CI/CD Pipelines\nFehleranalyse und Weiterentwicklung bestehender Workflows\nEnge Zusammenarbeit mit unseren IAM Beraterinnen und Beratern in Kundenprojekten\n\nIhr Profil\n\nMehrjährige Erfahrung in der Entwicklung mit SailPoint IdentityIQ\nFundierte Java Entwicklungskenntnisse, insbesondere für eigene Rules und Erweiterungen mit BeanShell, sowie Erfahrung mit REST Schnittstellen\nSicherer Umgang mit Git und professionellem Code Management, Erfahrung mit CI/CD Pipelines (zum Beispiel GitLab CI, Jenkins oder GitHub Actions) sowie Build Tools wie Maven oder Gradle\nErfahrung mit Joiner Mover Leaver Prozessen, Rezertifizierung und Funktionstrennung (SoD)\nVerhandlungssicheres Deutsch\nSelbstständige, strukturierte Arbeitsweise\n\nVon Vorteil\n\nKenntnisse in SailPoint Identity Security Cloud (ICS, vormals IdentityNow)\nErfahrung mit weiteren IAM Plattformen wie One Identity Manager oder Keycloak\n\nWir bieten\n\nUnbefristete Festanstellung\nRemote in Deutschland und Österreich\nIndividuelle Weiterbildung\nFlache Hierarchien und kurze Entscheidungswege\n\nMehr zur Rolle unter wertfels.com/offene-stellen/iam-consultant-sailpoint-identityiq/\n\nBewerbung direkt über LinkedIn oder an info@wertfels.com.\n\n… 更多\n\n订阅相似职位\n\nSailPoint IdentityIQ Entwickler (m/w/d)，德国\n\n关", "applicants": "12", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 8, "reasons": [ "+8 DevOps/CI" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4426689276", "title": "Senior Software Engineer, Cloud Automation", "company": "英伟达", "location": "波兰 (远程办公)", "salary_text": "", "posted": "14 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4426689276/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\n英伟达\n\nSenior Software Engineer, Cloud Automation \n\n波兰 · 已转发的时间: 14 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "We are now looking for a Senior Software Engineer for Cloud Automation\n\nNVIDIA Cloud platform engineering is seeking exceptionally talented DevOps infrastructure automation engineers to deliver our NVIDIA GPU Cloud services. Join a team that accomplishes over 250K automation runs per week, operating 24x7 with thousands of automation projects. This outstanding opportunity will allow you to work on multi-OSes, multi-cloud platforms, and virtualization technologies simultaneously.\n\nOur team is ambitious, constantly seeking to improve our automation infrastructure through new DevOps and cloud technologies, processes, and tools. You will collaborate closely with application developers and QA to build flawless automation infrastructure for deployment, testing, monitoring, and CI/CD operations.\n\nWhat You'll Be Doing\n\nCollaborate with Configuration Management tools and Workflow management tools such as Ansible and Stackstorm to handle and deploy COLO multi-platform server clusters in NVIDIA Data Centers worldwide.\nBuild and develop infrastructures, tools, and automation scripts to improve automation support for various activities such as image management, switch management, deployment, data analytics, automated testing, logging, monitoring, and alerts for different micro-services.\nApply agentic AI to develop AI orchestration skills and manage Data Center operations at scale using infrastructure tools like netbox, foreman, and Mellanox switches.\nEmploy the latest infrastructure management technologies like Kubernetes and Docker to ensure fast and consistent delivery.\nOwn the infrastructure for micro-services and provide operational support to application teams, focusing on automation service, infrastructure and security improvement, and live service troubleshooting.\n\nWhat We Need To See\n\nBS in Computer Science/Engineering/Math/Physics or equivalent experience\n3+ years of proven experience\nOutstanding agentic AI experience with Codex, Claude code\nProficient in scripting languages: Python, Bash, Groovy, GOLANG\nOutstanding debugging skills\nCloud experience with AWS Compute, Containers, and Networking services is preferable.\nCI/CD experience with Jenkins and Jenkins pipeline\nExperience working with Configuration Management tools such as Ansible is highly advantageous.\nExperience with Packer, Terraform, and StackStorm is advantageous.\nExperience with Kubernetes, Docker, and Helm is highly desirable.\n\nNVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most experienced and talented individuals working for us. If you're creative and autonomous, we want to hear from you!\n\nWe are an AA/EEO/Veterans/Disabled employer. We will provide reasonable accommodation for individuals with disabilities during the application or interview process. Accommodations are also available to perform essential job functions and receive employment benefits. Please contact us to request accommodation.\n\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 183,750 PLN - 318,500 PLN for Level 3, and 240,000 PLN - 416,000 PLN for Level 4., , JR2019580\n\n… 更多\n\n订阅相似职位\n\n高级自动化工程师，波兰\n\n关\n想找到好工作？\n\n找简历达人帮忙\n\n获取简历修改建议", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：波兰 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 94, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "agentic" ], "neg": {}, "pos": [], "new": true }, { "id": "4465572624", "title": "Software Engineer - AI", "company": "Newfold Digital", "location": "魁北克, QC (远程办公)", "salary_text": "", "posted": "16 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4465572624/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nNewfold Digital\n\nSoftware Engineer - AI \n\n魁北克, QC · 已转发的时间: 16 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Applied AI Engineer, AI Center of Excellence\n\nWho We Are.\n\nNewfold Digital is a leading web technology company serving millions of customers globally. Our customers know us through our robust portfolio of brands. We have some of the industry's most prominent and storied go-to-market brands, including Bluehost, HostGator, Domain.com, Network Solutions, Register.com and Web.com. We help customers of all sizes build a digital presence that delivers results. With our extensive product offerings and personalized support, we take pride in collaborating with our customers to serve their online presence needs. The strength of our company lives in the intersection of our people, our customers, and our brands.\n\nWhat you’ll do & how you’ll make your mark .\n\nWe are looking for a hands on Applied AI Engineer who combines strong software engineering fundamentals with practical AI problem solving. You will help build production AI experiences across Network Solutions, including conversational agents, business and website creation, knowledge and FAQ agents, content experiences, domain discovery, and intelligent automation.\n\nYou will work with senior engineers, architects, and product partners to turn customer and product problems into reliable, secure, observable, and cost efficient AI systems. This is an applied engineering role focused on building, measuring, and continuously improving real AI products.\n\nWho you are & what you’ll need to succeed\n\nTranslate product requirements into practical AI solutions using LLMs, RAG, tool calling, agents, deterministic workflows, or traditional software where appropriate. \nBuild production AI services using Python, FastAPI, asynchronous workers, PostgreSQL, Redis, queues, model APIs, and external tools. \nImplement reliable tool calling agents and multi step workflows that interact with internal APIs, MCP tools, business systems, and knowledge sources. \nBuild event driven workflows using RabbitMQ, Kafka, Azure Service Bus, or equivalent platforms, including retries, dead letter handling, idempotency, and failure recovery. \nBuild and improve RAG systems covering ingestion, chunking, embeddings, hybrid retrieval, reranking, metadata filtering, context construction, and citations. \nIntegrate models from OpenAI, Anthropic, Google, xAI, and open weight ecosystems, and help select models based on quality, latency, reliability, and cost. \nBuild and run AI evaluations using curated datasets, regression tests, retrieval metrics, LLM as judge techniques, groundedness checks, and tool execution evaluation. \nDebug hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs. \nOperate as an AI powered engineer using Cursor, Claude Code, OpenAI Codex, or equivalent coding agents to accelerate implementation, testing, debugging, refactoring, and documentation.\n\nWhat We’re Looking For\n\n3 or more years of professional software engineering experience building production backend, distributed, or cloud based systems. \nAt least 1 year of hands on experience building Applied AI, LLM, RAG, NLP, or agent based applications, with production experience strongly preferred. \nStrong Python skills including FastAPI, asynchronous programming, Pydantic, SQLAlchemy or SQLModel, and production API development. \nGood backend and distributed systems fundamentals including REST APIs, concurrency, background processing, caching, reliability, and production debugging. \nHands on experience with RabbitMQ, Kafka, Azure Service Bus, or equivalent queue and messaging architectures is required. \nHands on experience integrating LLM APIs and building structured output, function calling, tool calling, or agent execution workflows. \nExperience building or contributing to a RAG or knowledge grounded system, including retrieval, embeddings, indexing, context construction, and evaluation. \nWorking knowledge of PostgreSQL and data modeling, with exposure to Redis, pgvector, vector databases, or hybrid search technologies. \nDemonstrated use of AI coding agents such as Cursor, Claude Code, Codex, or equivalent tools as a regular part of software engineering work. \n\nNice to have.\n\nYou should be comfortable going beyond a working demo and understand the core engineering patterns needed to make AI systems reliable in production.\n\nUnderstanding of prompting, structured outputs, tool schemas, context management, retries, fallbacks, rate limits, caching, and streaming responses. \nAbility to use experiments and evaluations to compare approaches using measurable outcomes rather than subjective testing alone. \nUnderstanding of retrieval quality, grounding, hallucination mitigation, prompt injection risks, tool authorization, and practical agent guardrails. \nExperience with Docker, CI/CD, automated testing, logging, observability, distributed tracing, OpenTelemetry, Langfuse, or similar tooling. \n\nHow You’ll Work\n\nYou will often receive a product goal or technical direction rather than a fully specified implementation. You should be able to break the problem into manageable pieces, validate assumptions, implement the solution, and work with senior engineers when architecture tradeoffs require discussion.\n\nTurn product goals into testable technical tasks and prototype alternatives when the best approach is not obvious. \nChoose simple, maintainable solutions and avoid using an agent or LLM when a deterministic approach solves the problem better. \nMeasure quality, latency, reliability, safety, and cost and use those signals to improve the solution over time. \nOwn implementation across APIs, workflows, data, queues, model integration, evaluations, observability, and production support for assigned features. \nUse AI coding agents aggressively to increase engineering velocity while preserving testing discipline, security, maintainability, and code quality. \n\nWhat Will Make You Stand Out\n\nExperience with Semantic Kernel, Microsoft Agent Framework, LangGraph, PydanticAI, or equivalent agent frameworks. \nExperience building or consuming Model Context Protocol tools and servers, or working with model gateways such as LiteLLM. \nExperience with Azure AI Search, pgvector, Chroma, Kubernetes, Azure, OCI, or similar production AI platform technologies. \nExperience contributing to customer facing AI products, open weight model inference, AI safety controls, automated evaluations, or high scale backend platforms. \n\nCuriosity, strong problem solving, solid software engineering fundamentals, and the ability to learn quickly and turn ideas into reliable production features are the foundation for this role.\n\nJoin us to build the agent-powered backbone of our AI platform—robust, model agnostic, and ready for millions of users.\n\nThis Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.\n… 更多\n\n订阅相似职位\n\nSoftware Engineer - AI，加拿大 魁北克 魁北克\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：魁北克, QC (远程办公)，JD 未声明可全球", "salary_min": null, "score": 106, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+6 Redis", "+6 消息队列", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "langgraph", "mcp", "model context protocol", "rag", "function calling", "tool calling", "evaluations", "ai safety", "guardrails", "hallucination", "groundedness" ], "neg": { "客户/演示/销售": [ "customer facing" ] }, "pos": [ "async明说" ], "new": true }, { "id": "4427013558", "title": "Lead AI/ML Software Engineer", "company": "Raft", "location": "塔科马, WA (远程办公)", "salary_text": "", "posted": "17 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4427013558/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nRaft\n\nLead AI/ML Software Engineer \n\n塔科马, WA · 已转发的时间: 17 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.\n\n \n\nWho we are:\n\nRaft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.\n\nOur flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, and govern AI-powered mission workflows across highly dynamic operational environments. We are looking for an experienced Lead AI/ML Software Engineer to help shape the next phase of [R]AIMS: a technical builder-leader with deep experience designing and scaling complex production systems, someone who can make hard architecture decisions, simplify complexity, lead major engineering efforts, and raise the technical bar across the platform.\n\nAbout the role: \n\nAs Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft’s AI Mission System. You will be hands-on in the codebase, leading by doing, while also setting technical direction and raising the quality of engineering across the team.\n\nYou will partner closely with platform leadership, product, and delivery teams to drive architectural decisions, lead major technical epics from conception through delivery, and establish the engineering patterns that the platform will grow on. You will operate at the intersection of distributed systems, AI/ML platform engineering, Kubernetes-native infrastructure, and data-intensive application development, balancing rapid mission delivery with long-term platform integrity.\n\nThis role requires someone equally comfortable writing production systems with complex multi-vendor integrations, debugging difficult distributed systems issues, leading design reviews, and making pragmatic tradeoff decisions under ambiguity.\n\nWhat you'll do:\n\nDrive architectural decisions across the [R]AIMS platform, evaluating tradeoffs across performance, scalability, security, and maintainability and building alignment across engineering and product stakeholders\nLead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans and keeping cross-functional teams moving with clarity and momentum\nSimplify and rationalize distributed system architecture as the platform scales, reducing incidental complexity and improving operational reliability without sacrificing capability\nOptimize platform performance across both edge and cloud deployment targets, identifying and resolving bottlenecks in data-intensive, latency-sensitive operational environments\nEstablish strong engineering foundations and reusable technical patterns that improve developer productivity and code quality across the team\nMentor engineers at multiple levels, conducting design reviews, providing substantive code feedback, and actively elevating technical execution across the platform\nPartner with AI/ML engineers on model integration, inference optimization, and the operational deployment of agentic workflows within [R]AIMS\nEngage directly with customers and program stakeholders at operationally demanding environments across the Department of Defense, representing Raft’s technical capabilities with credibility and clarity\n\nWhat we are looking for: \n\n6+ years of hands-on experience building and shipping production software systems across the full stack (frontend, backend, infrastructure, and ML)\nDeep software engineering fundamentals with demonstrated ability to design, build, and evolve complex systems that perform reliably at scale\nExceptional technical communication skills; able to lead through influence across engineering, product, and leadership stakeholders without requiring direct authority\nProven experience designing and evolving distributed systems, including service decomposition, inter-service communication patterns, fault tolerance, and observability\nStrong hands-on experience with Kubernetes and cloud-native platform architecture in production environments\nExperience building data-intensive or AI-enabled production systems with real operational users and real performance constraints\nDemonstrated technical leadership over large, cross-functional engineering initiatives with clear ownership and accountability for outcomes\nStrong system design and architecture decision-making ability, with a track record of making the right call under incomplete information\nSome experience or exposure to training, fine-tuning, or deploying machine learning models in production contexts\nAbility to obtain Security+ certification within the first 90 days of employment\nUS citizenship required; ability to obtain and maintain a Top Secret/SCI clearance\n\nHighly preferred:\n\nExperience building AI/ML infrastructure or agentic systems, including orchestration frameworks, tool-use patterns, and LLM integration in production\nExperience with streaming and event-driven architectures, particularly Kafka, Kafka Streams, or Apache Flink\nExperience with platform engineering and internal developer tooling, including golden-path frameworks, shared libraries, and developer experience improvements\nExperience with real-time inference or operational AI systems in latency-sensitive environments\nExperience building secure, compliant systems for regulated or mission-critical environments, including familiarity with IL4/IL5/IL6 requirements or RMF processes\nPrior work in defense, national security, or classified program environments\nActive clearance preferred\nWhat Success Looks Like\n[R]AIMS has a coherent, well-documented architecture that engineers at all levels understand and can contribute to confidently\nMajor platform initiatives ship on time with high engineering quality, low rework rates, and clear technical rationale behind key decisions\nThe engineering team is measurably stronger because of your presence: better design reviews, sharper code, cleaner systems\nCustomers trust Raft technically. When you’re in the room, they leave the conversation with confidence in what we’re building and how we’re building it\nPlatform complexity is decreasing relative to capability, not increasing\n\nClearance Requirements:\n\nNo clearance required to start\nMust be eligible for and willing to obtain a Top Secret/SCI clearance; active clearance preferred\n\nSalary Range: $180,000.00 - $230,000.00\n\nWork Type:\n\nRemote within the U.S.; preference for candidates located near a Raft hub (McLean, VA; Colorado Springs, CO; Tacoma, WA; Oahu, HI, Tampa, FL; Boston, MA)\nUp to 25% travel\n\nWhat we will offer you: \n\nHighly competitive salary\nFully covered healthcare, dental, and vision coverage\n401(k) and company match\nTake as you need PTO + 11 paid holidays\nEducation & training benefits\nGenerous Referral Bonuses\nAnd More!\n\nOur Vision Statement: \n\nWe bridge the gap between humans and data through radical transparency and our obsession with the mission. \n\nOur Customer Obsession: \n\nWe will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.\n\nHow do we get there? \n\nPublic-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. \n\nRaft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. \n\n \n\nWe’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\n… 更多\n\n职位发布中说明的福利\n\n401(k)\n\n订阅相似职位\n\nLead AI/ML Software Engineer，美国 华盛顿州 塔科马\n\n关\n想找到好工作？\n\n找简历达人帮忙\n\n获取简历修改建议", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：塔科马, WA (远程办公)，JD 未声明可全球", "salary_min": null, "score": 51, "reasons": [ "+10 Kubernetes", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "agentic", "alignment" ], "neg": {}, "pos": [], "new": true }, { "id": "4455957128", "title": "Staff Software Engineer, Payments Compliance", "company": "Airbnb", "location": "美国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4455957128/", "queries": [ "Golang backend engineer @ Worldwide", "Python backend engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAirbnb\n\nStaff Software Engineer, Payments Compliance \n\n美国 · 已转发的时间: 9 分钟前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n\nThe Community You Will Join\n\nAirbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission. We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we’ll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts.\n\nAirbnb’s business grows rapidly year over year, and so does Airbnb Payments’ processing volume. Payments Compliance is an essential part of the Payments organization. Without it, Airbnb can be subject to fines and even forbidden from conducting business in certain markets. As a Staff Engineer in the Payments Compliance team, you would drive architectural decisions and implementation for the Compliance systems.\n\nThe Difference You Will Make\n\nWe are looking for a self-motivated leader who is interested in working in a highly dynamic environment by collaborating with cross-functional and cross-geographical teams. As a Staff Engineer, you would be expected to bring deep expertise in building and operating large-scale platforms, and support Airbnb’s entire Compliance program and scale it to efficiently adapt to ever evolving regulatory needs. The Payments Compliance systems are complex and interface with various other parts of Airbnb. The systems, APIs, experiences, and tools that you develop will implement controls to make Airbnb compliant with regulations from around the world.\n\nThis role centers on the compliance experiences that hosts and guests interact with directly, including the collection and management of the information we are required to obtain. The scope also covers screening of individuals and businesses against global regulatory requirements, and the continuous auditing that verifies our compliance controls are applied as intended. You will set technical direction across all three areas, because they are inseparable in practice: an experience is only as good as the compliance decision behind it, and neither holds up unless we can demonstrate the control was actually enforced.\n\nAs a Staff engineer, you’ll be responsible for establishing a technical vision and building alignment within engineering and cross-functional teams, all while delivering a solution that is flexible, always available, efficient, and scales with the needs of the business. Your own unique skill set, rich experiences and thought leadership will be key to success in this role.\n\nA Typical Day\n\nLead the development and refinement of systems powering compliance.\nPartner with technical leaders inside and outside of Compliance to design and build the Compliance systems that are service-oriented, configurable, auditable and efficiently leverage existing Airbnb capabilities.\nWork closely with Product, Design, Policy, Operations and other cross-functional partners as part of a globally distributed team, to define and ship impactful features.\nPartner with other engineering teams in Airbnb to serve our users holistically.\nLead and mentor engineers, both inside and outside your immediate team, in building solutions and developing skills.\nAdvocate for and participate in efforts to advance Airbnb’s engineering processes and technical foundations. Drive systemic improvements by identifying patterns to streamline development, reduce toil and increase technical quality and operational excellence over time.\n\nYour Expertise\n\n9+ years of industry experience in a fast paced tech environment.\nBS/MS/PhD in Computer Science, a related field, or equivalent work experience.\nYou have excellent communication skills and the ability to work well within a team and with teams across the engineering organization.\nYou are a strong problem solver and have led a team that is on-call for production systems before.\nTechnical leadership: hands on experience leading project teams and setting technical direction and strategy.\nNice to have: Prior knowledge of Regulatory Compliance standards and experience in implementing those controls\nProficiency in one or more back-end server languages (Java/Ruby/Go/C++/etc.)\nExperience with HTML, CSS and modern Javascript frameworks such as React.\nExposure to architectural patterns of high-scale web and data applications.\nBe future looking - we might be focused on immediate regulations, but need to build for the long term.\nEnd-to-end ownership mentality that transcends team boundaries.\n\nYour Location:\n\nThis position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.\n\nOur Commitment To Inclusion & Belonging\n\nAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.\n\nWe strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.\n\nWe ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.\n\nEqual Employment Opportunity\n\nAirbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.\n\nHow We'll Take Care Of You\n\nOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.\n\nPay Range\n\n$212,000—$265,000 USD\n\nReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.\n\nA Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.\n… 更多\n\n订阅相似职位\n\n资深软件工程师，美国\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 63, "reasons": [ "+15 React前端", "+15 Go语言", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "alignment" ], "neg": {}, "pos": [], "new": true }, { "id": "4426843803", "title": "DevOps Engineer- Night Shift(10:00 PM - 6:00 AM)", "company": "NiCE", "location": "英国 (远程办公)", "salary_text": "", "posted": "51 分钟前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4426843803/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nNiCE\n\nDevOps Engineer- Night Shift(10:00 PM - 6:00 AM) \n\n英国 · 已转发的时间: 59 分钟前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n李洋\n\n• 3度+\n\nOperation architect\n\n来自腾讯的前公司同事\n\n加为好友", "description": "At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.\n\nAt NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.\n\nSo, what’s the role all about?\n\nThe DevOps Engineer is a hybrid, senior-level role sitting at the intersection of operational reliability and software delivery automation. You will function as an integrated part of a cross-functional engineering team, combining the proactive service management mindset of an Application Operations Engineer with the automation-first philosophy of a DevOps practitioner.\n\nYou will be responsible for keeping production environments healthy and performant, while simultaneously designing and maintaining the CI/CD pipelines, infrastructure-as-code frameworks, and tooling that enable rapid, high-quality software delivery. You are the connective tissue between engineering, platform, and operations — someone who is equally comfortable in an incident bridge call and a sprint planning meeting.\n\nHow will you make an impact? \n\nDevOps & Automation\n\nDesign, build, and maintain continuous integration and continuous delivery (CI/CD) pipelines for rapid, quality-assured deployment of software deliverables. \nBuild and manage Infrastructure as Code (IaC) using tools such as CloudFormation, Ansible, Terraform, Chef, or Puppet. \nManage day-to-day operations of release pipelines, build tools, artifact repositories, and source control systems. \nCoordinate build and release activities with engineering, QA, product, and other stakeholders across the organisation. \nIdentify, research, and prototype new technologies and practices to continuously improve DevOps processes and team efficiency. \nMaintain and upgrade DevOps systems in both production and non-production environments on an ongoing basis. \n\nCloud & Application Operations\n\nProactively monitor infrastructure and application health — including CPU, memory, file systems, databases, batch jobs, and network performance — and respond swiftly to anomalies. \nIdentify and resolve operational issues including infrastructure failures, batch processing errors, network disruptions, and client data feed problems. \nTroubleshoot and respond to production downtime, performance degradation, and security-related incidents in a timely, structured manner. \nPerform end-to-end operational duties covering application server health, service availability, and platform integrity in accordance with documented processes and runbooks. \nReview and manage client service request tickets in adherence to defined SLAs, ensuring accountability and timely resolution. \nProvide on-call off-hour support as part of a structured rotation, including during non-prime and weekend shift windows as required. \n\nDocumentation, Communication & Governance\n\nMaintain complete and accurate operational documentation including incident tracking, change logs, and runbooks. \nProduce metric reports and regular productivity/status updates for internal stakeholders and management. \nCommunicate proactively and clearly — both written and verbal — with internal teams, leadership, and customers on a daily basis. \nLiaise with management to share feedback on existing and new processes, methodologies, best practices, and technology changes. \nWork efficiently under pressure to meet tight deadlines while maintaining the professionalism, accuracy, and consistency expected in a high-availability environment. \nDemonstrate a high level of individual accountability and deliver service and support that consistently exceeds client expectations. \n\nHave you got what it takes? \n\nEducation & Experience\n\nBachelor's degree in Computer Science, Information Technology, Business Information Systems, or a related field (or equivalent practical experience). \n2+ years of combined experience in application/production support, cloud operations, and/or software DevOps engineering in a high-availability SLA environment. \nDemonstrated experience working as a contributor on a software engineering or platform team. \n\nTechnical Skills – Required\n\nStrong proficiency with Linux and Unix environments; working knowledge of Windows Server administration. \nExperience writing scripting languages — Python, PowerShell, and/or Perl — for automation, monitoring, and tooling. \nExperience with distributed source control systems, preferably GitHub or BitBucket. \nSolid understanding of application server technologies including Tomcat and SSH-based remote management. \nDatabase experience with one or more of: SQL Server, Oracle, or MySQL — including querying, performance tuning, backup/restore, and lifecycle management. \nExperience with application debugging, performance analysis, and scalability assessment. \nFamiliarity with standard application security compliance and best practices. \nKnowledge of fault detection, RCA (Root Cause Analysis), and structured resolution processes. \nExperience with Amazon Web Services (AWS) — core services for compute, storage, networking, and monitoring. \n\nTechnical Skills – Deep Knowledge in at Least One of:\n\nDatabase Administration: Structured and/or unstructured, indexing, performance tuning, backup/restore, data lifecycle management, scaling. \nLayer 2/3 Networking: DNS, SSL/TLS, Load Balancing, IPv4 subnetting, firewalling, and CDN configuration. \nOperating Systems & Virtualisation: Linux/Windows, containers, orchestration (Kubernetes), storage types and performance, monitoring, and capacity planning. \nVoIP Administration: Signalling, encoding/decoding, protocols including SIP, RTP, Media Gateway, security, border controllers, and QoS. \n\nYou will have an advantage if you also have:\n\nFamiliarity with CI/CD automation tools such as Jenkins, CircleCI, Bamboo, or TFS Build. \nExperience with release pipeline tooling — Concourse, Thoughtworks Go, Octopus Deploy, ElectricFlow, or XebiaLabs. \nExperience with Docker containers, microservices architecture, and container orchestration (Kubernetes). \nExperience with infrastructure automation tools: Ansible, Chef, Puppet, or AWS CloudFormation. \nExperience with Artifactory or similar artifact repository management. \nNICE product knowledge and/or implementation or support experience with NICE CXone or related platforms. \nKnowledge of ETL processes and data pipeline management. \nCall centre or telecoms industry experience. \n\nWhat’s in it for you?\n\nLearn More About The Benefits At NICE\n\nJoin an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!\n\nAbout NICE\n\nNICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions\n\nKnown as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.\n\nNICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation, or any other category protected by law.\n\nRequisition ID: 11153\n\nReporting into: Director, Cloud Operations CXone, EMEA\n\nRole Type: Individual Contributor\n\nAbout NiCE\n\nNICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. \n\nKnown as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. \n\nNiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.\n… 更多\n\n订阅相似职位\n\nDevOps工程师，英国\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：英国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 94, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4422422116", "title": "Senior Machine Learning Engineer, Assistance Engineering", "company": "Airbnb", "location": "中国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4422422116/", "queries": [ "AI infrastructure engineer @ Worldwide", "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia", "AI evaluation engineer @ Asia", "Golang backend engineer @ Asia", "AI evaluation engineer @ Worldwide", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAirbnb\n\nSenior Machine Learning Engineer, Assistance Engineering \n\n中国 · 已转发的时间: 10 分钟前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n\nYour Location:\n\nThis position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.\n\nThe Community You Will Join\n\nMachine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.\n\nThe Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.\n\nThe richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.\n\nThe Difference You Will Make\n\nWe believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb.\n\nYou will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.\n\nMany of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.\n\nA Typical Day\n\nEnvision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems \nWork cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products \nLearn and share the latest AI/ML technologies with the team across regions( China and the US). \n\nYour Expertise\n\nPhD/Master’s degree, preferably in CS, or equivalent experience\n4+ years of ML engineering experience, with ownership responsibility over large-scale software systems. \nBackground in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products\nExperience with LLM driven chatbot and Agentic AI products would be a big plus\nExcellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations\nFluency in both English and Mandarin is essential.\n\nOur Commitment To Inclusion & Belonging\n\nAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.\n\nReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.\n\nA Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.\n… 更多\n\n订阅相似职位\n\n机器学习工程师，中国\n\n关", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 40, "reasons": [ "+15 AI/LLM/评测", "+10 高级职位", "+15 全球远程" ], "tier": "agent", "ai_hits": [ "agentic", "rag", "evaluation", "guardrail" ], "neg": {}, "pos": [], "new": true }, { "id": "4469122710", "title": "Backend Engineer, AI (Agent Systems)", "company": "ActAI", "location": "新加坡 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4469122710/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nActAI\n\nBackend Engineer, AI (Agent Systems)\n\n新加坡 · 已转发的时间: 4 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About ActAI\n\nThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.\n\nOur product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations.\n\nOur objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things.\n\nRole\n\nAs a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.\n\nYou will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.\n\nFocus\n\nBuild and operate backend systems that serve AI-powered features in production.\nDesign inference pipelines, orchestration layers, and service boundaries around models.\nOwn production concerns: monitoring, logging, alerting, and incident response.\nOptimize latency and throughput across inference, caching, batching, and streaming.\n\nIdeal Experiences\n\nStrong backend engineering fundamentals in production environments.\nExperience running high-throughput, low-latency services.\nFamiliarity with AI inference patterns (LLMs, embeddings, multimodal).\nComfortable debugging distributed systems under load.\nBias toward shipping and learning from production behavior.\n\nOutcomes\n\nBackend systems run reliably at scale, handling production AI traffic with low latency and high throughput.\nAPIs are stable, clear, and support seamless integration with frontend and ML systems.\nProduction incidents are quickly detected, diagnosed, and resolved, minimizing user impact.\nIterative improvements based on real usage continuously increase system performance and reliability.\n\nTech Stack\n\nPython\nNodeJs\nPytorch\nOpenAI / Anthropic / open-source LLMs\nSQl & noSQL\nKubernetes\nDocker\n\nHow We Work\n\nThe best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product\n\nInterview process\n\nIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.\n\nApplications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.\n\nWe value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.\n\n… 更多\n\n订阅相似职位\n\nBackend Engineer, AI (Agent Systems)，新加坡\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：新加坡 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 69, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务" ], "tier": "eval", "ai_hits": [ "hallucination" ], "neg": {}, "pos": [], "new": true }, { "id": "4354474152", "title": "Staff Software Engineer, Inference Infrastructure", "company": "Cohere", "location": "纽约, NY (远程办公)", "salary_text": "", "posted": "15 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4354474152/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCohere\n\nStaff Software Engineer, Inference Infrastructure \n\n纽约, NY · 已转发的时间: 16 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Who are we?\n\nCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\nWhy this role?\n\nAre you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.\n\nYou May Be a Good Fit If You Have\n\n5+ years of engineering experience running production infrastructure at a large scale\nExperience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters\nExperience with Kubernetes dev and production coding and support\nExperience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving\nExperience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments\nExperience in compute/storage/network resource and cost management\nExcellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork\nThe grit and adaptability to solve complex technical challenges that evolve day to day\nFamiliarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.\nStrong understanding or working experience with distributed systems.\nExperience in Golang, C++ or other languages designed for high-performance scalable servers).\n\nFull-Time Employees At Cohere Enjoy These Perks\n\nA weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\nFull health and dental benefits, including a separate budget for mental health.\nRRSP matching, 401K, Pension Scheme.\n100% Parental Leave top-up for up to 6 months, for either parent.\nAnnual enrichment benefits:\n\nArts & culture, fitness/wellness, quality time, and a workspace improvement credit.\n\nEducation & learning stipend for conferences, courses, and coaching.\n\n6 weeks of paid vacation (30 working days!)\nBudget for traveling to other offices if you are remote, plus an annual company offsite.\n\nHow And Where We Work\n\nCohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\nFor those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\nFor those not near an office: a co-working benefit so you can work alongside others in your city.\nEveryone receives a $500 home office stipend to set up your workspace properly.\n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply.\n\nWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.\n\nWe may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.\n\nBeware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.\n\nCompensation Range: $190K - $325K\n… 更多\n\n职位发布中说明的福利\n\n401(k)\n\n订阅相似职位\n\n资深软件工程师，美国 纽约 纽约\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：纽约, NY (远程办公)，JD 未声明可全球", "salary_min": null, "score": 58, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "general", "ai_hits": [ "large language model", "machine learning" ], "neg": {}, "pos": [], "new": true }, { "id": "4417355742", "title": "Infrastructure Security Engineer", "company": "ElevenLabs", "location": "英国 英格兰 伦敦 (远程办公)", "salary_text": "", "posted": "16 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4417355742/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nElevenLabs\n\nInfrastructure Security Engineer \n\n英国 英格兰 伦敦 · 已转发的时间: 16 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About ElevenLabs\n\nElevenLabs is an AI research and product company transforming how we interact with technology.\n\nWe launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always.\n\nWe Have Expanded From Voice Into Three Main Platforms\n\nElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.\nElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.\nElevenAPI gives developers access to our leading AI audio foundational models.\n\nEverything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.\n\nHow we work\n\nHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.\nImpact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.\nAI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.\nExcellence everywhere: Everything we do should match the quality of our AI models.\nGlobal team: We prioritize your talent, not your location.\n\nWhat we offer\n\nInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.\nGrowth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.\nLearning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.\nSocial travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.\nAnnual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.\nCo-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.\n\nAbout The Role\n\nWe’re looking for a Security Engineer to join the ElevenLabs Security team. In this role, you’ll work at the intersection of security, software and infrastructure engineering, building the platforms, controls and tooling that let teams ship and operate cloud infrastructure securely at high velocity.\n\nYou Will\n\nDesign and build security tools and guardrails that integrate directly into our infrastructure and products\nPartner with Engineering and Infrastructure teams to review application architectures, develop threat models and build in secure by default patterns throughout the software development lifecycle\nIdentify, prioritise and remediate security vulnerabilities, working directly with engineers and contributing to fixes where required, across the entire stack.\nShip new security features which directly improve the security posture of our products in production\nDesign and implement supply chain security controls across build and deployment pipelines, including artefact signing, provenance, dynamic admission controls and SBOM generation\n\nRequirements\n\nStrong engineering background, with experience building and shipping production systems\nProven track record of building and scaling security programs\nFluency in at least one programming language (Python, Typescript, Golang etc) with the ability to read, write and maintain production quality code\nHands on experience in cloud-native environments (AWS or GCP), Kubernetes, and infrastructure-as-code (Terraform)\nStrong understanding of cloud security fundamentals: IAM, networking, PKI, linux internals\nExperience securing CI/CD pipelines to prevent supply chain attacks\n\nBonus\n\nExperience securing AI or Machine Learning systems, including training pipelines\nBackground in developer experience or platform engineering, especially building developer tooling\nContributions to open source security projects, published research or talks at security conferences\nExperience working in regulated environments (SOC 2, ISO27001, PCI, HIPAA or similar)\n\nLocation\n\nThis role is remote and can be executed globally. However, to facilitate working with the Security Team, we prefer candidates based in GMT to GMT+3 or UK. If you prefer, you can work from our offices in London or Warsaw\n\nWe are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.\n… 更多\n\n订阅相似职位\n\n安全工程师，英国 英格兰 伦敦\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：英国 英格兰 伦敦 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 75, "reasons": [ "+20 Python后端", "+12 TypeScript", "+15 Go语言", "+10 Kubernetes", "+8 DevOps/CI", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "guardrails" ], "neg": {}, "pos": [], "new": true }, { "id": "4444967425", "title": "Senior iOS Engineer (Monetization) - BeReal", "company": "BeReal.", "location": "法国 法兰西岛 巴黎 (远程办公)", "salary_text": "", "posted": "18 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4444967425/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBeReal.\n\nSenior iOS Engineer (Monetization) - BeReal \n\n法国 法兰西岛 巴黎 · 已转发的时间: 18 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About BeReal\n\nAt BeReal, we are dedicated to authenticity in social media. By encouraging users to share unfiltered moments, we foster genuine connections and celebrate real life. We are now an international team of 70+ and have 40M+ monthly active users. Backed by Voodoo, our team is fully focused on scaling BeReal into an iconic social network used by hundreds of millions.\n\nRole\n\nWe are looking for a talented iOS Engineer to join our Monetization team, where you will focus on building and optimizing revenue-generating features while maintaining the authentic experience that makes BeReal special.\n\nYou will be responsible for:\n\nDesigning, implementing, and maintaining scalable iOS monetization features (ads formats, sponsored content, premium features) in a fast-paced, high-impact environment.\nCollaborating with cross-functional teams (designers, product managers, data analysts, backend engineers, adOps team) to build innovative monetization solutions that respect user experience.\nBuilding the bridge between advertisers/partners and our users, ensuring monetization feels native and non-intrusive.\nOptimizing performance and stability of monetization features to ensure seamless integration with the core BeReal experience.\nAnalyzing user behavior, A/B tests results, and business metrics to iterate on monetization strategies.\nEnsuring a high-quality, authentic user experience through thoughtful technical solutions.\nContributing to and upholding best practices in code quality, design, and development processes.\nContinuously innovating and improving the iOS tech stack (Swift, SwiftUI).\n\nYou'll work alongside AI tools that amplify your creativity and streamline your day-to-day.\n\nProfile\n\nStrong iOS programming skills (5+ years experience).\nSolid knowledge in Swift, SwiftUI and UIKit.\nFamiliarity with Clean Architecture principles and separation of concerns.\nExperience building monetization features, ads products, or consumer-facing products is a strong plus.\nAbility to understand and debug large, complex codebases.\nProduct mindset with a strong passion for clean interfaces, smooth animations, and interactions.\nInterest for analytics and data-first mindset to measure impact and iterate.\nStrong understanding of user experience and ability to balance business goals with product quality.\nYou're highly driven, autonomous, and results oriented.\nBe fluent in English (French is a plus).\n\nOur Stack \n\nUse the following predefined list:\n\niOS: Swift, Combine, SwiftUI, SPM, Swift Concurrency, MVVM\nOps: Github.\nAndroid: Kotlin, Compose, Coroutines, Room, gRPC.\nBackend: Go, Node.js (NestJS, Nx, Typescript).\nDatabase: Spanner, PostgreSQL, Redis.\nInfrastructure: GCP, GKE, Firebase.\nData: Amplitude, Tableau.\n\nBenefits\n\nCompetitive salary based on experience\nSwile Lunch voucher\nGymlib (100% covered by Voodoo)\nPremium healthcare coverage with SideCare, 100% covered for you and your family\nWellness activities in our Paris office\nRemote days on Fridays\n\n… 更多", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：法国 法兰西岛 巴黎 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 66, "reasons": [ "+12 TypeScript", "+15 Go语言", "+6 Redis", "+8 gRPC", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4285321918", "title": "Senior Software Engineer", "company": "ReversingLabs", "location": "克罗地亚 (远程办公)", "salary_text": "", "posted": "18 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4285321918/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nReversingLabs\n\nSenior Software Engineer \n\n克罗地亚 · 已转发的时间: 19 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 积极审核申请者\n\n远程办公\n全职\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nMaja Vučetić Ivković \n\n• 3度+\n\nPeople Operations Manager at ReversingLabs\n\n职位发布者\n\n发消息", "description": "At ReversingLabs, our software supply chain security and threat intelligence solutions have become essential to advancing cybersecurity maturity around the globe. We're on a journey to expand adoption and accelerate growth by hiring top talent across the security industry.\n\nNotable breaches such as SolarWinds, CircleCI, and 3CX have elevated software supply chain security as a top initiative across every organization developing or purchasing software. Only ReversingLabs delivers the software package analysis speed and intelligence needed to protect against this critical area of risk.\n\nOur vision is clear. Arming every company with end-to-end insights to ensure development releases securely, IT purchases safely, and the SOC can effectively detect, isolate, and respond.\n\nYour future role as a Senior Software Engineer is extremely important for the success of our solution - a Spectra Assure platform for software assurance. This is a game-changing opportunity.\n\nOur company is at the forefront of innovation, with many aspects built from scratch, fostering an engineering-driven approach. We prioritize developer experience and the development of high-quality, well-documented, and tested code within our Research organization.\n\nYou and your teammates will work on developing a scalable and resilient SaaS platform. You will also be able to directly influence the architecture decisions and will be responsible for developing large parts of the new product. We are looking for people who can work independently, but also be a part of a team, and who adhere to the best practice engineering principles for clean and maintainable code. Crucially, if you identify more with being a skilled developer familiar with frontend technologies than strictly a frontend developer, you'll be a great fit for our team.\n\nResponsibilities\n\nDevelop a scalable and resilient SaaS platform, ensuring seamless integration between frontend and backend components for optimal performance and stability\nInfluence architecture decisions by offering strategic insights and recommendations based on expertise and best practices\nWrite, maintain, and optimize efficient, reusable, and reliable TypeScript and Python code\nStay up to date with industry best practices, emerging technologies, and modern design patterns\nTranslate UX designs into high-quality, user-friendly interfaces\nDiagnose, troubleshoot, document, and resolve technical issues to maintain system reliability\nOversee and execute enterprise application deployments in production environments\nEngage proactively with the product, understand its features, and contribute to its continuous improvement\nTake technical ownership of complex feature development, ensuring scalability and maintainability\n\nRequirements\n\n5+ years of experience in software development\nAdvanced knowledge of programming in Typescript (Advanced knowledge of HTML5, CSS3 and React framework)\nGood knowledge of programming in Python or other OO languages\nExperience with setting up and maintaining frontend and backend tooling (build and test)\nExperience in writing and maintaining a large codebase, making decisions that benefit long-term maintainability of such codebase\nAbility to work independently and as part of a team\nExperience with implementing complex workflows\nExperience with Docker and related technologies\n\nA BIG PLUS\n\nExperience with Redux Toolkit, Material-UI, Webpack, and Storybook\nExperience with Django, PostgreSQL\nExperience with writing secure code\n\nBenefits\n\nHybrid or fully remote work options (paid accommodation & transportation to Zagreb during onboarding for remote employees)\nFlexible working hours\nGenerous compensation and a bonus system based on annual performance\nHefty personal education budget and the possibility of attending leading conferences and seminars in the field\nCompany library and the possibility of ordering books of choice via Amazon\nPermanent contract with a fast-growing global company with Fortune 500 and governmental agencies as clients\nChallenging projects in a dynamic, collaborative team\nGreat career advancement opportunities - clear goals and internal promotions\nEmployee referral bonus program: EUR 1,060 net for junior positions, EUR 2,123 net for mid to senior positions, and EUR 2,654 net for principal/managerial positions\nMultisport card, annual health checkup, newborn child allowance, rent-cost, and 3rd pillar pension benefits\nWellness Weekends - quarterly, company-wide three-day weekend, starting with a company-paid Friday off for all employees\nFully covered car garage in Radnička cesta for all employees\n… 更多\n\n订阅相似职位\n\n高级软件工程师，克罗地亚\n\n关", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：克罗地亚 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 80, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+8 Docker", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4444721260", "title": "Senior Backend Engineer - Databases - Loki Query | Germany | Remote", "company": "Grafana Labs", "location": "德国 (远程办公)", "salary_text": "", "posted": "19 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4444721260/", "queries": [ "AI infrastructure engineer @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nGrafana Labs\n\nSenior Backend Engineer - Databases - Loki Query | Germany | Remote \n\n德国 · 已转发的时间: 20 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.\n\nWe’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.\n\nYou may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.\n\nThis is a remote opportunity and we would be interested in applicants based in Spain, Ireland, Germany, the UK or Sweden at this time.\n\nSenior Backend Engineer - Databases - Loki Query | EMEA | Remote\n\nThe Opportunity\n\nGrafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack\n\nThe Databases team owns the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. Our databases are OSS projects that we also offer as a Cloud service supporting Grafana Cloud, and as an on-premise solution. They are multi-tenant distributed systems implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS). We also have engineers working on Prometheus, Grafana Agent, Mimir proxies, and OpenTelemetry.\n\nAs a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our tech stack is mostly made up of services written in Go, running on multiple Kubernetes clusters that leverage Cloud object storage.\n\nWe invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.\n\nWe encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.\n\nYou'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.\n\nWhat You’ll Be Doing\n\nTake an active role in influencing our roadmap and your own career objectives \nWork with your team to deliver new features, then use the results to iterate and improve.\nDrive projects from initial ideation all the way to operations once it is in the hands of customers\nEmbrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope\nDesign, build, operate, and maintain critical systems, owning the reliability, performance, and availability\nBe a part of your team’s on-call rotations and take ownership of the services you’re running\nSupporting other team members, participate in design discussions and collaborate with the team\nLearn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system\n\nAs we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.\n\nWhat Makes You a Great Fit\n\nYou are a motivated self starter with a bias towards action\nYou are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs \nPragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively\nCollaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must\n\nRequirements\n\nSolid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well\nSome experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way\nSome experience with developing software that runs in the Cloud or some experience with systems engineering\nExperience writing clean, robust, and performant software that is easily maintained by others\n\nBonus Points For\n\nExperience working with Kubernetes and/or Docker\nBeen a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)\nExposure to microservices architecture and distributed systems, and a desire to learn\nFamiliarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code\n\nCompensation & Rewards\n\nIn Germany, the Base compensation range for this role is €97,000 - €121,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.\n\nCompensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.\n\nWhy You’ll Thrive At Grafana Labs\n\n100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.\nScaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.\nTransparent Communication – Expect open decision-making and regular company-wide updates.\nInnovation-Driven – Autonomy and support to ship great work and try new things.\nOpen Source Roots – Built on community-driven values that shape how we work.\nEmpowered Teams – High trust, low ego culture that values outcomes over optics.\nCareer Growth Pathways – Defined opportunities to grow and develop your career.\nApproachable Leadership – Transparent execs who are involved, visible, and human.\nPassionate People – Join a team of smart, supportive folks who care deeply about what they do.\nIn-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. \nBalance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.\n\nEqual Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression,", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 86, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "general", "ai_hits": [ "openai", "anthropic" ], "neg": {}, "pos": [], "new": true }, { "id": "4453794500", "title": "AI Support Engineer - Toronto", "company": "OpenAI", "location": "加拿大 (远程办公)", "salary_text": "", "posted": "19 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4453794500/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nOpenAI\n\nAI Support Engineer - Toronto \n\n加拿大 · 已转发的时间: 20 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n200K CAD/yr - 290K CAD/yr\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部\n\n了解招聘团队\n\nColin Dyer \n\n• 3度+\n\nOperations @ OpenAI | Executive Strategy\n\n发消息", "description": "About The Team\n\nOpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.\n\nAbout The Role\n\nWe’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale.\n\nBeyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale.\n\nThis Toronto-based role is currently remote and is expected to transition to an in-office arrangement.\n\nIn This Role, You Will\n\nWork directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance.\nBecome a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues.\nServe as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows.\nTake learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams.\nDrive operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience.\nProvide occasional holiday and weekend support on call coverage, as needed, to support business and customer needs.\n\nYou Might Thrive In This Role If You\n\nHave 5+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments.\nAre comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools.\nHave expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.\nPolished enterprise communication and are calm with high-stakes customers during live incident calls.\nProven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues.\nExceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams.\nThrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.\nBring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed.\nHave a bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.\n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.\n\nOpenAI Global Applicant Privacy Policy\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation Range: CA$200K - CA$290K\n\n… 更多\n\n订阅相似职位\n\n支持工程师，加拿大\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：加拿大 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 50, "reasons": [ "+20 Python后端", "+15 Go语言", "+15 AI/LLM/评测" ], "tier": "general", "ai_hits": [ "openai" ], "neg": { "线下/混合办公": [ "in-office" ] }, "pos": [], "new": true }, { "id": "4441812879", "title": "Senior Software Engineer, Backend - Reliability", "company": "Camunda", "location": "布达佩斯地区 (远程办公)", "salary_text": "", "posted": "20 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4441812879/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCamunda\n\nSenior Software Engineer, Backend - Reliability \n\n布达佩斯地区 · 已转发的时间: 20 小时前 · 55 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.\n\nFully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team.\n\nNamed GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies, We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading.\n\nAbout The Role\n\nIf you’re passionate about pushing the limits of reliability, fault-tolerance, and operational excellence in complex distributed systems, Camunda offers the perfect stage.\n\nAs a Senior Software Engineer, Backend, you’ll take ownership of automated reliability testing and chaos engineering at the core of Camunda 8. This role thrives on curiosity, experimentation, and relentless improvement—you’ll break things (on purpose!) in safe environments to strengthen our platform before customers ever feel the impact. Here, you’ll make a measurable impact and guide product direction, all while learning new technologies and collaborating with talented, friendly colleagues who live our FAITH values (Focus, Ambition, Integrity, Talent, and Humor).\n\nEvery day at Camunda, you’ll help us build robust systems, empower teams, and deliver a great user experience—even in failure scenarios.\n\nCurious about the kind of challenges you'll work on at Camunda? Watch this quick 30-minute talk from our engineers to learn more about the new Camunda Exporter and how we’re solving complex problems at scale\n\nWhat You’ll Be Doing\n\n Design, implement, and execute automated chaos experiments and reliability tests, validating Camunda's platform under real-world scenarios\nYou will investigate, root-cause and debug potential failures or performance regressions of our Java based products\nContinuously improve existing load testing, chaos engineering and observability infrastructure to keep our system reliable and performant\nHere we use different languages, tools and frameworks like java, go, kubernetes, prometheus, grafana, etc.\nAs an example of the above you can check out this CamundaCon recording or this blog post\nIntroduce new tooling and approaches for reliability testing, driving measurable improvements to operational experience and user outcomes (examples from the past: introducing zbchaos as fault injection tool)\nCollaborate closely with QA and engineering (including cross-functional teams), sharing learnings (e.g. with our team blog) and influencing team roadmaps based on experiment findings\nChampion a pragmatic, autonomous approach to software design, solving tough problems and learning new principles and technologies (Kubernetes, Helm, Grafana, Java, Go, and more)\nAdvocate for user-centric reliability by using and understanding Camunda’s products firsthand\n\nDefining Success For This Role\n\nBased on all of the above, you have end to end delivered a concrete task, as for example (the concrete goal will be defined during your onboarding):\nAfter 3 months, you have designed and delivered a way to run quick and reproducible load tests, allowing us:\nto reduce the feedback loops for engineers\ndirectly fitting into the development lifecycle\nEnable engineers to make use of it and extend it\nAfter 3 months, you have designed and implemented a realistic, automated, holistic load testing framework for Optimize, in close collaboration with Senior Engineers and Field teams:\nConducted a deep-dive analysis of performance limits.\nShared results with the relevant core engineering teams and enabled them to re-run the tests.\n\nDocumented findings in public-facing documentation to help users better understand performance characteristics and guide their installation design.\n\nWhat You Bring\n\nAbility and/or willingness to use our product\n5+ years of experience in backend software engineering (Java)\nProven drive to experiment, learn new tech, and conduct automated reliability and chaos testing in distributed environments\nDeep enthusiasm for improving performance and fault-tolerance in production systems\nAutonomous, pragmatic problem-solving skills with an ability to guide and influence others\nWillingness and ability to use Camunda products and approach reliability from a user’s perspective\n\nNice To Haves\n\nHands-on experience with Go or other languages, in a multi-language context\nWorking as SRE on distributed systems, with a strong software engineering mindset before\nWorking knowledge of Kubernetes, Helm Charts, Operators, and related production infrastructure\nExperience running apps in production, with solid skills in monitoring, troubleshooting, and performance analysis\nBackground in chaos engineering, automated reliability, load, or performance testing\n\nThis role is an existing vacancy\n\n#C1\n\nCompensation\n\nWhat We Have to Offer:\n\nWe offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition.\n\nThe Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills, experience, and location, and we typically hire in the first half of the range to allow room for growth:\n\nUnited States: $143,800.00 to $231,900.00 \nUnited Kingdom: £90,300.00 to £148,500.00 \nSingapore: S$178,600.00 to S$267,900.00\nCanada: C$152,700.00 to C$251,200.00\n\nIf you’re based elsewhere, you’ll be hired via Remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview.\n\nEquity: We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP).\n\nBenefits & Perks\n\nWe invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you’re based. Our benefits are globally designed and locally delivered where applicable.\n\nRemote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it.\nIn Person Connection: We invest in meaningful face time through our Annual Kickoff (Vienna in 2025, Madrid in 2026!), team offsites, and Camundi Connection Budgets, including contributing to meetups while travelling,, and local gatherings with fellow Camundi.\nHealth & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work, from: staying active, to caring for family, exploring personal passions, meaningful experiences, and investing in your financial wellbeing. The Live Well program launches in 2026 and scales to €1,000 annually from 2027.\nFinancial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant.\nProfessional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide!\n\nAI in our hiring process: Camunda may use AI tools to aid the screening of applications and during the in", "applicants": "", "region": "可申请·全球", "bad_words": [], "region_note": "JD 写了 “Remote & Flexible: Work from anywhere”，但岗位挂在 布达佩斯地区 (远程办公)，需向 HR 确认是否接受中国", "salary_min": null, "score": 73, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位", "+15 全球远程" ], "tier": "agent", "ai_hits": [ "ai agents", "agentic" ], "neg": {}, "pos": [], "new": true }, { "id": "4389037343", "title": "Machine Learning Engineer, Assistance Engineering", "company": "Airbnb", "location": "中国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4389037343/", "queries": [ "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia", "Golang backend engineer @ Asia", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAirbnb\n\nMachine Learning Engineer, Assistance Engineering \n\n中国 · 已转发的时间: 11 分钟前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n\nYour Location:\n\nThis position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.\n\nThe Community You Will Join\n\nMachine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.\n\nThe Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.\n\nThe richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.\n\nThe Difference You Will Make\n\nWe believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb.\n\nYou will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.\n\nMany of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.\n\nA Typical Day\n\nEnvision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems \nWork cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products \nLearn and share the latest AI/ML technologies with the team across regions( China and the US). \n\nYour Expertise\n\nPhD/Master’s degree, preferably in CS, or equivalent experience\n2-4 years of ML engineering experience, with ownership responsibility over large-scale software systems. \nBackground in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products\nExperience with LLM driven chatbot and Agentic AI products would be a big plus\nExcellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations\nFluency in both English and Mandarin is essential.\n\nOur Commitment To Inclusion & Belonging\n\nAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.\n\nReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.\n\nA Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.\n… 更多\n\n订阅相似职位\n\n机器学习工程师，中国\n\n关", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 30, "reasons": [ "+15 AI/LLM/评测", "+15 全球远程" ], "tier": "agent", "ai_hits": [ "agentic", "rag", "evaluation", "guardrail" ], "neg": {}, "pos": [], "new": true }, { "id": "4472484343", "title": "Android Software Engineer", "company": "ActAI", "location": "新加坡 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472484343/", "queries": [ "AI infrastructure engineer @ Asia", "AI agent engineer @ Worldwide", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Worldwide", "Golang backend engineer @ Asia", "AI evaluation engineer @ Worldwide", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nActAI\n\nAndroid Software Engineer\n\n新加坡 · 的时间: 4 小时前 · 6 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About ActAI\n\nThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.\n\nOur product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations\n\nOur objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things.\n\nRole\n\nAs an Android Developer, AI Apps, you own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You will build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.\n\nFocus\n\nBuild and maintain production Android apps using Kotlin.\nIntegrate AI-powered features (chat, vision, voice, recommendations) via backend APIs.\nDesign UX patterns for AI interactions, including streaming responses, retries, and partial results.\nOptimize performance, memory usage, and responsiveness for AI-heavy flows.\nImplement analytics, logging, and feedback capture to support AI evaluation and iteration.\nCollaborate closely with backend and ML engineers on API contracts and system behavior.\nEnsure app stability, security, and scalability in production environments.\n\nIdeal Experiences\n\n3+ years of Android development experience using Kotlin.\nHands-on experience integrating AI features (e.g. LLM, vision, speech APIs).\nStrong understanding of asynchronous programming (Coroutines, Flow).\nFamiliarity with REST or gRPC APIs and structured data formats.\nStrong debugging and performance profiling skills.\nComfort building in environments with latency, partial failure, and non-deterministic behavior.\nExperience with MLKit or light on-device inference.\nPublished production apps on the Google Play Store.\n\nOutcomes\n\nStable, smooth, and reliable real-world use android applications.\nPerformance is optimized: responsive, low-latency, and efficient on memory and CPU.\nProduction issues are detected early, monitored effectively, and resolved with clear root-cause analysis.\n\nTech Stack\n\nKotlin / Java\nSQL / noSQL\nTensorFlow Lite (on-device inference)\n\nHow We Work\n\nThe best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product\n\nInterview process\n\nIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.\n\nApplications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.\n\nWe value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.\n\n… 更多\n\n订阅相似职位\n\nAndroid Software Engineer，新加坡\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：新加坡 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 23, "reasons": [ "+8 gRPC", "+15 AI/LLM/评测" ], "tier": "eval", "ai_hits": [ "evaluation", "hallucination" ], "neg": {}, "pos": [], "new": true }, { "id": "4435367470", "title": "Senior Frontend Engineer", "company": "FINN", "location": "新加坡 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4435367470/", "queries": [ "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nFINN\n\nSenior Frontend Engineer\n\n新加坡 · 已转发的时间: 3 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Senior Frontend Engineer (Product Engineering)\n\nRemote\n\n Eastern Hemisphere (timezone overlap required)\n\nFINN is a fintech company building simple and transparent products that improve financial well-being for underbanked employees. Our core offering gives people access to wages they have already earned, alongside tools to help them manage money better, build savings, access insurance, earn additional income, and use fairer financial services.\n\nFounded in 2022, FINN is the largest player in the early wage access space in Southeast Asia and is expanding rapidly into new markets globally. We are looking for ambitious builders who take ownership, move fast, and want to shape products that create meaningful impact in people’s lives.\n\nThis is a high-ownership IC role. You'll work alongside our Frontend Lead and a small team (currently 3, scaling to 5+), shipping features end-to-end across web and mobile.\n\nWhat you'll do\n\nBuild and ship complex, user-facing features across web and mobile (Angular + Ionic)\nOwn features end-to-end: dig into the problem, design the approach, ship fast, and iterate based on real usage\nContribute to technical direction — advocate for better patterns, tooling, and developer experience\nPartner with product and design to define solutions, not just execute specs\nWrite clean, performant code at a high pace — quality and speed, not one or the other\nRaise the bar for the team through code reviews, technical input, and leading by example\n\nHow we work\n\nWe're a small team that values clear thinking over heavy process. Engineers get real context on the \"why\" and autonomy on the \"how.\" We ship frequently, learn from production, and make pragmatic tradeoffs. We plan enough to move confidently — but never so much that we slow down.\n\nAI in our workflow\n\nAI is becoming core to how we build. We use LLMs daily for coding, debugging, automated code reviews, design doc reviews, and we're building internal tooling to push this further in and out of the Engineering team. We expect engineers to use AI as a force multiplier in their daily work — and to contribute ideas on how we can do it better.\n\nWhat we're looking for\n\n5+ years shipping complex user-facing products in production (web + mobile ideal)\nStrong product instincts — you push back when something doesn't feel right for the user\nDeep TypeScript fundamentals (component architecture, state management, performance)\nAbility to operate independently: you take ownership of a problem and drive it forward\nPragmatic judgment on architecture vs. shipping and learning\nClear communicator who can articulate tradeoffs and advocate for their approach\n\nOur stack is Angular + Ionic. Strong engineers from React, Vue, or other modern frameworks ramp quickly — we care more about fundamentals than specific framework experience.\n\nThis role probably isn't for you if\n\nYou aren't comfortable with some level of ambiguity\nYou default to large rewrites when the problem needs solving in days\nYou optimize for architectural purity over learning from real users\nYou need a lot of structure or guidance to do your best work\n\nWhy join\n\nYour work directly shapes the product experience for hundreds of thousands of users\nSmall, high-caliber team — minimal bureaucracy, fast feedback loops, clear business impact\nHigh autonomy and real ownership from day one\nA seat at the table in defining how frontend engineering evolves here\nWork from anywhere #APJ #EMEA\n… 更多\n\n订阅相似职位\n\n高级前端开发人员，新加坡\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "可申请·全球", "bad_words": [], "region_note": "JD 写了 “Work from anywhere”，但岗位挂在 新加坡 (远程办公)，需向 HR 确认是否接受中国", "salary_min": null, "score": 67, "reasons": [ "+15 React前端", "+12 TypeScript", "+15 AI/LLM/评测", "+10 高级职位", "+15 全球远程" ], "tier": "general", "ai_hits": [ "llms" ], "neg": {}, "pos": [], "new": true }, { "id": "4471499421", "title": "Full Stack Software Engineer - Authoring Tools (Remote, Greece or Cyprus)", "company": "LearnWorlds", "location": "塞浦路斯 尼科西亚区 尼科西亚 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471499421/", "queries": [ "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nLearnWorlds\n\nFull Stack Software Engineer - Authoring Tools (Remote, Greece or Cyprus)\n\n塞浦路斯 尼科西亚区 尼科西亚 · 的时间: 3 天前 · 26 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "At LearnWorlds, we believe learning is the original human superpower — the force that turns knowledge into products, skills, and progress.\n\nOur platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure — the skill that keeps humans creative, relevant, and in control. The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale — and that's exactly what LearnWorlds enables.\n\nBuild. Ship. Learn. Improve. (Repeat.)\n\nWe're redefining how people create and share online learning—and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact.\n\nWe're a remote-first, fast-growing EdTech SaaS with a global footprint. Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up—both as individuals and as a team.\n\nWe're now looking for a Full Stack Software Engineer to join our Authoring Tools team—the team behind the experiences and tools our customers use to create engaging learning content.\n\nThis is a full-stack role with a strong frontend engineering focus. You'll work extensively with Vue.js, while staying comfortable moving into our PHP backend whenever the product requires it. You'll work in a fast-moving environment where small groups of engineers own projects end to end, collaborate closely with Product and Design, and continuously iterate as requirements and opportunities evolve.\n\nWe're looking for an Εngineer who combines strong technical judgment with adaptability, ownership, and a pragmatic approach to software development. Someone who can explain not only what they would build, but why and who is excited to use AI-assisted coding as part of their everyday engineering workflow.\n\nIf you're a proactive builder who loves solving real product challenges, this is where you'll do your best work.\n\nWhat You'll Be Doing\n\nDesign and ship full-stack features for our Authoring Tools, from backend logic to polished, intuitive frontend experiences\nTake strong ownership of frontend architecture in Vue.js, applying thoughtful design patterns and helping us evolve consistent engineering practices\nWrite clean, scalable backend services in PHP, focusing on performance, robustness, and maintainability\nOwn work end to end—from understanding the problem and estimating the work to implementation, code review, iteration, and release\nWork across multiple projects and initiatives in parallel, adapting quickly as product requirements, priorities, and scope evolve\nCollaborate closely with PMs and designers—not simply implementing handed-off designs, but discussing solutions, sharing technical context, and shaping the final product together\nParticipate actively in code reviews, giving clear, constructive feedback and being equally open to receiving it from your peers\nMake pragmatic decisions when working with both modern and legacy code, knowing when to improve, refactor, or build on what already exists\nUse AI-powered coding tools (Copilot, ChatGPT, Claude, Cursor) throughout development and code review to move faster while maintaining strong engineering judgment and quality\nKeep the broader product and business context in mind, balancing technical quality with speed, customer impact, and the realities of shipping software\n\nWhy You'll Love This Role\n\nYou'll work on the tools at the heart of how LearnWorlds customers create learning experiences used by tens of millions of learners around the world\nYou'll have meaningful ownership: once you take on a problem, you'll have the autonomy to drive it all the way to release\nYou'll work deeply on frontend engineering while remaining close to the full product stack\nYou'll collaborate directly with Product and Design and have real influence over how solutions are shaped—not just how they're implemented\nYou'll work in a fast-moving environment where experimentation, iteration, and pragmatic engineering are part of everyday work\nYou'll be part of a collaborative engineering team where ideas and feedback can come from anyone, regardless of title or seniority\nYou'll have room to challenge existing patterns, improve legacy areas of the product, and help shape how Authoring Tools evolve\n\nYou'll Thrive Here If You\n\nPrefer ownership over hand-holding and can independently move a problem from idea to production\nAre highly adaptable and comfortable when requirements, priorities, or scope change along the way\nThink speed and quality can (and should) co-exist\nAsk \"why\" before \"how,\" and can clearly explain the reasoning and trade-offs behind your technical decisions\nCare about frontend architecture and understand the difference between simply knowing a framework and knowing how to structure maintainable applications\nAre pragmatic about legacy code—you don't need everything to be greenfield to do great work\nGive thoughtful, constructive feedback and are equally comfortable receiving it, regardless of someone's title or years of experience\nStay humble, curious, and open to changing your mind when new information emerges\nKeep product and business impact in mind rather than treating engineering decisions in isolation\nBelieve AI won't replace engineers—but it will empower the best ones\n\nRequirements\n\nMust-haves\n\n5+ years of professional software development experience, ideally in complex SaaS or product environments\nStrong proficiency in modern JavaScript and Vue.js, with solid knowledge of frontend architecture, design patterns, anti-patterns, and maintainable UI development\nProficiency in PHP and the ability to work confidently across backend services when needed\nA frontend-leaning full-stack mindset: frontend may be your strongest area, but you're comfortable understanding, debugging, and contributing across the full stack\nDeep understanding of RESTful APIs, HTTP fundamentals, and modern frontend application architecture\nHands-on experience with both relational (MySQL, PostgreSQL) and noSQL (MongoDB) databases\nStrong software engineering fundamentals and the ability to reason about technical decisions and articulate the trade-offs behind them\nExperience working with and evolving legacy codebases, with a pragmatic approach to refactoring and incremental improvement\nExcellent debugging, problem-solving, and performance optimization skills\nDemonstrated ability to work autonomously, manage changing requirements, and take ownership through delivery and release\nStrong communication and collaboration skills, including giving and receiving constructive technical feedback\nHigh attention to detail and a product-oriented mindset\nComfortable using AI-assisted development tools as part of your day-to-day engineering workflow\nNative or near-native Greek speaker, with a good working command of English\n\nNice-to-haves\n\nExperience building complex authoring tools, editors, content creation experiences, or highly interactive web applications\nExperience with Docker, Kubernetes, or microservices architectures\nExposure to or interest in Go\nExperience in EdTech, LMS systems, or other complex SaaS products\nExperience working in small, autonomous engineering groups across multiple parallel product initiatives\nExperience collaborating closely with product designers and contributing technical thinking during the design process\nGitHub repos, open-source contributions, or personal projects you're proud of\n\nBenefits\n\nPrivate life and health insurance plan\nFully remote work if you prefer to work from home, apart from when we have team meetings a few times per year\nYour personal annual training budget\nAn annual home office allowance to set up your personal space\nCompany laptop \n23 days of paid time off\n3 early summer Fr", "applicants": "26", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：塞浦路斯 尼科西亚区 尼科西亚 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 82, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 MongoDB", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "copilot" ], "neg": {}, "pos": [], "new": true }, { "id": "4453029474", "title": "Software Engineer II - Blockchain", "company": "Circle", "location": "台湾 台北市 台北市 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4453029474/", "queries": [ "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCircle\n\nSoftware Engineer II - Blockchain \n\n台湾 台北市 台北市 · 已转发的时间: 3 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n了解招聘团队\n\nYu-Chen (Riley) Chang \n\n• 3度+\n\nSr. Talent Partner @ Circle (USDC) | APAC Talent Acquisition | HRBP | Employer Branding | Blockchain, Crypto, FinTech\n\n发消息", "description": "Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.\n\nWhat You’ll Be Part Of\n\nCircle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.\n\nWhat You’ll Be Responsible For\n\nCircle is seeking a Software Engineer to join our Blockchain team and build the core infrastructure connecting Circle products to blockchain networks. You will develop and operate the shared platform that powers multi-chain transaction construction, account access, indexing, and transaction notifications. Working with engineering and product teams around the world, you will transform evolving blockchain technologies into secure, reliable, and reusable capabilities that accelerate product development across Circle.\n\nWhat You'll Work On\n\nBuild and maintain backend services supporting Circle products across 40+ blockchain networks.\nDevelop reusable blockchain capabilities that make it easier for engineering teams around the world to integrate blockchain functionality into Circle products.\nResearch and evaluate blockchain protocols and technologies to support reliable cross-chain solutions.\nBuild well-tested, production-quality systems with a strong focus on correctness, security, observability, and reliability.\nMonitor and continuously improve the availability, latency, scalability, and performance of blockchain infrastructure.\n\nWhat You'll Bring To Circle\n\nCore Requirements\n\nBachelor’s degree in Computer Science or a closely related field, or equivalent practical experience.\n0-4+ years of backend software development experience, ideally using Golang or a similar programming language.\nUnderstanding of RESTful API design and development principles and experience working with SQL databases and schema design.\nExperience with cloud services such as AWS, Google Cloud, or Microsoft Azure, as well as Kubernetes and Docker.\nStrong focus on correctness, security, testing, observability, and reliability when developing production-quality software.\nWritten and verbal communication skills in English and Mandarin Chinese are required.\n\nPreferred Requirements\n\nExperience designing and deploying scalable, production-quality software and supporting systems in production environments.\nUnderstanding of blockchain fundamentals and an interest in learning new protocols and tools.\nExperience with Solidity, Rust, or Move for smart contract or blockchain development.\nExperience using AI tools for coding, testing, and troubleshooting.\nExperience collaborating effectively with globally distributed teams.\n\nCircle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.\n\nStarting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.\n\nWe are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.\n\nShould you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.\n\n… 更多\n\n订阅相似职位\n\n软件工程师，台湾 台北市 台北市\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：台湾 台北市 台北市 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 66, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4469713789", "title": "QA Engineer (Banking)", "company": "payabl.", "location": "塞浦路斯 利马索尔区 利马索尔 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4469713789/", "queries": [ "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\npayabl.\n\nQA Engineer (Banking) \n\n塞浦路斯 利马索尔区 利马索尔 · 的时间: 3 天前 · 30 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to businesses and make them all available in one place on our platform we call payabl.one. As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts.\n\nThe role is about:\n\nWe are looking for an experienced QA Engineer to join our Banking team and help establish and strengthen dedicated QA practices within the team.\n\nAs a QA Engineer - Banking, you will help ensure the quality and reliability of our Core Banking and Payment platforms. You will work across automated and manual testing, with a strong focus on API, backend, integration, and transaction flows.\n\nThis is a hands-on QA Automation role where you will help identify issues early, improve test coverage, and make sure our banking services are stable, reliable, and ready for our customers.\n\nWe are looking for someone who can take ownership of QA activities, understand systems deeply, and contribute to building a strong quality mindset within the team.\n\nLocation: Remote from Poland, Portugal (Contractor arrangement) or Cyprus Onsite (Relocation support provided)\n\nReporting to: Team Lead\n\nWhat you will do:  \n\nPerform end-to-end functional, integration, regression, and system testing for Core Banking and Payment platforms\nBuild and maintain automated tests using Python (PyTest) and end-to-end browser automation tools such as Cypress and Playwright\nCreate and execute test cases based on new feature implementations\nParticipate in refinement sessions and provide QA input early in the development lifecycle\nPrepare detailed test plans, test scenarios, test cases, test data, and coverage\nPerform API and backend testing, ensuring correct system behaviour and data integrity\nConduct manual testing when needed to ensure full test coverage\nAnalyse logs and system flows to identify issues and understand root causes\nIdentify, document, and track defects with clear evidence and reproducible steps\nCollaborate closely with engineering and product teams to improve quality and delivery\nContribute to delivering stable and reliable software in a complex banking environment\n\nWhat we need:\n\n3+ years of QA automation experience\nStrong hands-on experience with:\nPython\nPyTest\nCypress\nPlaywright\nStrong experience in functional and integration testing\nExperience with API and backend testing\nExperience testing payment or transaction flows and validating system behaviour and data integrity\nGood understanding of payment processing, balances, and transaction data\nAbility to design and structure clear, maintainable test cases\nStrong debugging skills, including working with logs and system behaviour\nGood communication skills and the ability to explain technical topics clearly\nComfortable working in fast-paced, evolving environments\n\nNice to have:\n\nExperience in Core Banking, Payments, FinTech, or e-commerce platforms\nExperience with EUR and/or GBP payment flows\nUnderstanding of ledger and balance management\nExperience with transaction flows or distributed systems\nExposure to cloud-based environments or microservices architectures\nFamiliarity with CI/CD pipelines and Git\n\nHiring Process:\n\nStep 1 - Thinking in Action (40 minutes) Your first conversation will be with our Talent Acquisition team. We'll explore your background, career journey, motivations, and overall fit for the role. As part of this discussion, you'll also complete a short technical screening that will be reviewed by our engineering team. This stage helps us understand both your experience and how you approach technical challenges\nStep 2 - Build in Production (60-90 minutes) Meet with the Team Lead and technical experts for a practical assessment. Depending on the role, this may involve a live coding exercise or a real-world scenario designed to evaluate your technical skills, problem-solving approach, and ability to work through challenges similar to those faced by our teams\nStep 3 - Final Interview (45 minutes) The final stage is a group interview with senior members of our Technology squad, which may include the CTO, CPO, and Team Lead. Together, we'll discuss team fit, collaboration style, expectations from both sides, and any remaining questions about the role, team, or technology domain. This is also an opportunity for you to learn more about our culture and ways of working\n\nThe perks of being a payabl.er: \n\nGrow with Us: Annual Learning Budget for professional development (eligible after probation)—because your growth is our growth. \nCelebrate Together: We bring colleagues from all offices together for unforgettable company celebrations\nGlobal Collaboration & Events: Opportunities to participate in international company events and initiatives, connecting with colleagues from all regions and contributing to a truly global community \n\nThis is a fully remote role for candidates based in Poland or Portugal. If you are based in Cyprus or open to relocation, your assigned Talent Acquisition Partner will walk you through the specific working arrangements and any applicable conditions during the process.\n\nLet's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team!\n\nPlease review our Privacy Policy to understand how we process your personal data during the recruitment process: https://payabl.com/privacy-policy\n… 更多\n\n订阅相似职位\n\n质量保证工程师，塞浦路斯 利马索尔区 利马索尔\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "30", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：塞浦路斯 利马索尔区 利马索尔 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 61, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4469721271", "title": "Lead Platform Engineer Fully Remote", "company": "BLOOMTECH, Inc", "location": "东京地区 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4469721271/", "queries": [ "AI infrastructure engineer @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBLOOMTECH, Inc\n\nLead Platform Engineer Fully Remote\n\n东京地区 · 的时间: 3 天前 · 19 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 11 项技能\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nYoshinori Alejandro \n\n• 3度+\n\nBLOOMTECH, Inc - テクニカルリクルーター【株式会社ブルームテック🌎 | エンジニア転職支援✨ | つながり申請歓迎💪】 キャリア相談、採用相談、いつでもお気軽にご相談ください🙌\n\n职位发布者\n\n发消息", "description": "＜＜求人ポイント＞＞\n\n・累計100億円以上の資金調達を完了し、導入実績5万アカウントを超える急成長中のAIスタートアップです。\n\n・グローバルメガベンチャーや国内有名IT企業出身の優秀なエンジニアが多数在籍し、高い専門性を持つチームです。\n\n・週4日の在宅勤務（ハイブリッド）やフレックスタイム制を導入し、自律的で柔軟な働き方が可能です。\n\n■年収範囲\n\n12,000,000 ～ 20,000,000円\n\n◆◆◆ 募集企業の取り組みについて ◆◆◆\n\n「最高の技術を、すべての人と企業に届ける」をミッションに掲げ、独自の対話AIプラットフォームを開発・運営しています。高品質かつ信頼性の高いAIプロダクトにより、導入アカウント数は5万を突破しました。蓄積された膨大な「対話データ」と最新のAI技術を掛け合わせ、顧客の声という一次情報から企業の業務変革と顧客体験の向上を実現し、誰もが「働くことは楽しい」と感じられる社会を目指しています。\n\n◆◆◆ なぜ実現できるのか ◆◆◆\n\n・プロダクト力：AI技術をプロダクトの中心に据え、数万件のアカウントと数千万件の発着信を支える大規模システムを有しています。\n\n・市場ポテンシャル：非構造化データを活用した新規プロダクトの複数展開など、さらなる事業拡大に向けた急成長フェーズにあります。\n\n・資金基盤・パートナーシップ：累計100億円を超える大規模な資金調達を完了しており、盤石な事業投資・開発環境があります。\n\n・技術投資：最新のクラウド技術を活用したインフラ運用や、生成AIを活用したプロダクト開発サイクルの高速化など、エンジニアリングへの投資を惜しみません。\n\n◆◆◆ 本ポジションのやりがい ◆◆◆\n\n事業の成長とマルチプロダクト化に伴い、サービス共通基盤の全体設計・構築から技術的リーダーシップまでを幅広く担うリードクラスのポジションです。インフラが開発から分離されることなく、AI技術とプロダクト、お客様を接続するプラットフォームが直接ユーザーの価値体験に影響を与えます。「技術基盤が主役のプロダクト」を支え、多職種と連携しながら次世代アーキテクチャの標準を創り上げる、技術的探求心と創造性を存分に発揮できる環境です。\n\n◆◆◆ 使用ツール ◆◆◆\n\n- クラウド/インフラ：大手パブリッククラウド\n\n■必須スキル\n\n- サービス共通基盤の設計、構築、運用に関する3年以上の実務経験\n\n- 大手クラウドプラットフォームを用いた開発および運用の実務経験\n\n■歓迎スキル\n\n- マイクロサービスアーキテクチャの導入、サービス分割の経験\n\n- CI/CDパイプラインの設計・構築経験\n\n- CTOや技術部門の責任者など、技術的リーダーシップを発揮した経験\n\n- 認可システム、バッチ処理システム、ログ・モニタリングシステムの設計・構築・運用経験\n\n- 電話通信にまつわるシステムの開発・運用経験\n\n---\n\n<< Key Job Points >>\n\n* Rapidly growing AI startup that has completed over 10 billion JPY in cumulative funding, with a track record of over 50,000 corporate accounts.\n\n* High-performing engineering team featuring top talent from global tech giants and leading domestic IT companies.\n\n* Flexible and autonomous work environment offering a hybrid work style (4 days WFH/week) and a flextime system.\n\n■ Annual Salary Range\n\n12,000,000 - 20,000,000 JPY\n\n◆◆◆ About the Company's Initiatives ◆◆◆\n\nWith the mission to \"deliver the best technology to all people and companies,\" this firm develops and operates a proprietary AI dialogue platform. Their high-quality and reliable AI products have surpassed 50,000 enterprise accounts. By combining accumulated \"dialogue data\" with cutting-edge AI technologies, they aim to transform corporate operations through customer voice insights, ultimately creating a society where everyone finds joy in working.\n\n◆◆◆ Why We Can Achieve This ◆◆◆\n\n* Product Power: Places AI technology at the core of its products, backed by a large-scale system supporting tens of thousands of accounts and millions of call transactions.\n\n* Market Potential: Currently in a phase of rapid growth, expanding multiple new products that utilize unstructured business communication data.\n\n* Solid Foundation & Strategic Partnerships: Backed by massive funding rounds totaling over 10 billion JPY, providing a robust environment for business and technical investments.\n\n* Tech Investment: Aggressive investment in engineering, including the utilization of the latest cloud technologies and accelerating development cycles through Generative AI.\n\n◆◆◆ Why This Position is Rewarding ◆◆◆\n\nAs a Lead Platform Engineer, you will drive the overall design, construction, and technical leadership of common service infrastructures in response to business growth and multi-product expansion. Unlike traditional setups where infrastructure is isolated, your work will directly connect AI technology, products, and customers, significantly impacting the user experience. This is a unique opportunity to build \"infrastructure-centric products,\" collaborate cross-functionally, and set industry standards for next-generation architecture.\n\n◆◆◆ Tools Used ◆◆◆\n\n- Cloud/Infrastructure: Major Public Clouds\n\n■ Minimum Requirements\n\n- 3+ years of practical experience in designing, building, and operating common service infrastructures.\n\n- Practical experience in development and operations using major cloud platforms.\n\n■ Preferred Qualifications\n\n- Experience introducing microservices architecture and service decomposition.\n\n- Experience designing and building CI/CD pipelines.\n\n- Demonstrated technical leadership experience, such as serving as a CTO or head of a technical department.\n\n- Experience designing, building, and operating authorization systems, batch processing systems, and log/monitoring systems.\n\n- Experience developing and operating systems related to telecommunications.\n\n当社の転職支援サービスに登録または利用した時点で、 以下の利用規約とプライバシーポリシーの内容全てに同意したものとみなされます。\n\n■ ブルームテックキャリア\n\n- 職業紹介サービス 利用規約\n\nhttps://bloomtech.co.jp/terms/\n\n- プライバシーポリシー\n\nhttps://bloomtech.co.jp/privacy/\n\n… 更多\n\n订阅相似职位\n\nLead Platform Engineer Fully Remote，东京地区\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "19", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：东京地区 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 41, "reasons": [ "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "general", "ai_hits": [ "generative ai" ], "neg": { "线下/混合办公": [ "hybrid work" ] }, "pos": [], "new": true }, { "id": "4470953469", "title": "Staff Backend Software Engineer - Loki | Singapore | Remote", "company": "Grafana Labs", "location": "新加坡 新加坡 (远程办公)", "salary_text": "", "posted": "4 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470953469/", "queries": [ "AI infrastructure engineer @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nGrafana Labs\n\nStaff Backend Software Engineer - Loki | Singapore | Remote \n\n新加坡 新加坡 · 的时间: 4 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.\n\nWe’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.\n\nYou may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.\n\nThis role is available for candidates located in Australia or Singapore.\n\nThe Opportunity\n\nGrafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.\n\nThe Databases team owns the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. Our databases are OSS projects that we also offer as a Cloud service supporting Grafana Cloud, and as an on-premise solution. They are multi-tenant distributed systems implemented in Go and running on Kubernetes across all major Cloud service providers (GCP, Azure, AWS). We also have engineers working on Prometheus, Grafana Alloy, Mimir proxies, and OpenTelemetry.\n\nAs a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our tech stack is mostly made up of services written in Go, running on multiple Kubernetes clusters that leverage Cloud object storage.\n\nWe invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.\n\nWe encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.\n\nYou'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.\n\nWhat You’ll Be Doing\n\nDesign, build, operate, and maintain critical systems, owning the reliability, performance, and availability.\nTake an active role in influencing our roadmap and your own career objectives.\nWork with your team to deliver new features, then use the results to iterate and improve.\nDrive projects from initial ideation all the way to operations once it is in the hands of customers.\nEmbrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope.\nBe a part of your team’s on-call rotations and take ownership of the services you’re running.\nMentor and support other team members, participate in design discussions, and collaborate with the team.\nLearn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system.\n\nAs we are remote-first and our engineering organisation is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.\n\nWhat Makes You a Great Fit\n\nYou are a motivated self starter with a bias towards action.\nYou are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs .\nPragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively.\nCollaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must.\n\nRequirements\n\nSolid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well.\nSome experience with delivering projects from gathering requirements and brainstorming ideas, all the way to shipping a product to the customer’s hands in a self-driven way.\nSome experience with developing software that runs in the Cloud or some experience with systems engineering.\nExperience writing clean, robust, and performant software that is easily maintained by others.\n\nBonus Points For\n\nExperience writing low level code for databases, storage layers, or query engines.\nExperience working with Kubernetes.\nBeen a user of Grafana and/or Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools in hobby/homelab projects).\nExposure to microservices architecture and distributed systems, or a desire to learn.\nFamiliarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code.\n\nCompensation & Rewards\n\nIn Singapore, the Base compensation range for this role is SGD 167,000 to SGD 209,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.\n\nCompensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.\n\nWhy You’ll Thrive At Grafana Labs\n\n100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.\nScaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.\nTransparent Communication – Expect open decision-making and regular company-wide updates.\nInnovation-Driven – Autonomy and support to ship great work and try new things.\nOpen Source Roots – Built on community-driven values that shape how we work.\nEmpowered Teams – High trust, low ego culture that values outcomes over optics.\nCareer Growth Pathways – Defined opportunities to grow and develop your career.\nApproachable Leadership – Transparent execs who are involved, visible, and human.\nPassionate People – Join a team of smart, supportive folks who care deeply about what they do.\nIn-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. \nBalance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.\n\nEqual Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expr", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：新加坡 新加坡 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 78, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "general", "ai_hits": [ "openai", "anthropic" ], "neg": {}, "pos": [], "new": true }, { "id": "4470936098", "title": "Senior Software Engineer", "company": "The Flex", "location": "中国 (远程办公)", "salary_text": "", "posted": "4 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470936098/", "queries": [ "AI infrastructure engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nThe Flex\n\nSenior Software Engineer\n\n中国 · 的时间: 4 天前 · 43 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About Us\n\nBase360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot.\n\nBorn out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai is now launching as a standalone platform for short-term rental operators worldwide.\n\nWe bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios.\n\nWe're looking for a highly ambitious Senior Software Engineer who wants to build systems that solve real problems at scale. You'll build, ship, automate, and deliver products that directly impact property managers, their teams, and their guests.\n\nIf you're excited by APIs, automation, AI agents, cloud infrastructure, and building products from the ground up, we want to meet you.\n\nWhat You'll Build\n\nAs a Senior Software Engineer, you'll help architect and scale Base360.ai—the platform powering every aspect of a short-term rental business.\n\nYou'll build customer-facing products, automation engines, AI-powered workflows, integrations, and operational systems that help property managers grow without increasing their workload at the same rate.\n\nYour work will span the entire short-term rental lifecycle: from listing distribution, pricing, and bookings to guest stays, property operations, and financial reporting.\n\nYour Mission\n\nBuild the Core Platform\n\nDesign and develop scalable applications, services, and APIs that power reservations, availability, pricing, payments, guest experiences, and property operations.\n\nCreate Powerful Automations\n\nBuild event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements.\n\nDevelop AI-Powered Systems\n\nUse LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently.\n\nDesign API-First Architecture\n\nCreate robust APIs that connect internal services, booking channels, third-party providers, and customer systems.\n\nIntegrate the Ecosystem\n\nBuild and maintain integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google, and other strategic partners across the short-term rental ecosystem.\n\nScale Infrastructure\n\nDeploy and manage cloud-native infrastructure designed for reliability, performance, and global growth across multiple property management businesses.\n\nSolve Complex Operational Problems\n\nBuild Solutions For\n\nReal-time reservation and availability synchronization\nDynamic pricing intelligence\nSmart lock access and key management\nAutomated guest communication across channels\nOperational forecasting\nCleaning and maintenance automation\nOwner reporting and financial workflows\nAI-powered monitoring and alerts\n\nMove Fast and Own Delivery\n\nOwn projects end-to-end—from understanding an operator’s problem to architecture, implementation, deployment, and ongoing improvement.\n\nBring senior engineering judgment to technical decisions, code reviews, and the reliability of the systems you build.\n\nTech Stack\n\nWe care more about capability than specific technologies, but our current stack includes:\n\nPython\nFastAPI\nReact\nTypeScript\nSupabase\nPostgreSQL\nAWS\nServerless architecture\nOpenAI APIs\nTwilio\nStripe\nDocker\nGitHub Actions\n\nYou Might Be a Great Fit If You Have\n\nStrong experience building and owning production-grade software systems\nExperience with FastAPI, Python, React, or similar frameworks\nStrong understanding of APIs, distributed systems, and cloud architecture\nExperience designing scalable backend systems and reliable data models\nThe ability to work independently and make sound technical decisions\nStrong problem-solving skills and a product mindset\nCuriosity about AI, automation, and operational efficiency\nA bias toward action, shipping, and learning from real users\nThe ability to balance delivery speed with maintainability and reliability\n\nBonus Points For Experience With\n\nShort-term rentals, hospitality technology, or property management systems\nMulti-tenant SaaS platforms\nMarketplace businesses and booking channel integrations\nAI agents and workflow automation\nEvent-driven architectures\nSupabase\nAWS serverless infrastructure\n\nWhat Success Looks Like\n\nWithin Your First 12 Months\n\nCore short-term rental workflows are automated through systems you've built\nProperty managers spend less time on manual administration\nReservations, availability, payments, and operational data move reliably between systems\nNew integrations are deployed and maintained reliably\nAI-powered workflows become part of customers’ everyday operations\nThe platform supports more operators and properties while maintaining reliability and performance\nBase360.ai helps customers grow their portfolios, improve guest experiences, and operate more profitably\n\nWhy Join Us\n\nBuild Something Meaningful\n\nSolve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact.\n\nExtreme Ownership\n\nHave the freedom and responsibility to make technical decisions and deliver systems that matter.\n\nSmall Team, Massive Opportunity\n\nWork closely with the founders and directly influence the product and technical direction of Base360.ai.\n\nLearn Faster\n\nSolve real-world challenges across software, AI, automation, hospitality operations, and scale.\n\nPerformance-Based Rewards\n\nCompetitive compensation with substantial upside for exceptional performers.\n\nRemote-First\n\nWork from anywhere. We care about outcomes, not hours.\n\nThis Role Is Not For You If\n\nYou're looking for a slow-paced corporate environment\nYou prefer a narrowly defined role with limited product involvement\nYou need detailed instructions for every task\nYou avoid ownership and accountability\nYou're comfortable shipping work without taking responsibility for its quality\n\nWe're looking for someone who wants to help build the AI operating system for the short-term rental industry.\n\n… 更多\n\n订阅相似职位\n\n高级软件工程师，中国\n\n关", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 103, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+8 Docker", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位", "+15 全球远程" ], "tier": "agent", "ai_hits": [ "ai agents" ], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": true }, { "id": "4470917614", "title": "Infrastructure Engineer | Permanent WFH | Day Shift & Night Shift", "company": "Safari Micro", "location": "菲律宾 (远程办公)", "salary_text": "", "posted": "4 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470917614/", "queries": [ "AI infrastructure engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSafari Micro\n\nInfrastructure Engineer | Permanent WFH | Day Shift & Night Shift \n\n菲律宾 · 的时间: 4 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Infrastructure Engineer\n\nLocation:\n\nRemote – Philippines\n\nWork Schedule\n\nWe’re currently hiring for two available shifts:\n\nDayshift: Monday to Friday, 9 AM to 6 PM PH time\n\nNightshift: Monday to Friday, 11 PM to 8 AM PH time\n\nAbout Us\n\nSafari Micro is a well-established U.S.-based MSP and value-added reseller supporting businesses, schools, and government agencies across the U.S. Founded in 1997 and headquartered in Chandler, Arizona, we’re expanding our Philippines-based IT Support Team.\n\nPosition Summary\n\nWe are seeking a highly skilled and versatile Infrastructure Engineer to support, maintain, and enhance technology infrastructures. This role is responsible for managing and supporting on-premises and hybrid environments, including servers, virtualization platforms, data center infrastructure, Active Directory, Microsoft 365, Azure, storage, backup solutions, and end-user technical support.\n\nThe ideal candidate is a hands-on infrastructure generalist with strong troubleshooting abilities and broad experience across enterprise technologies. This individual will serve as a key technical resource, ensuring the reliability, performance, security, and scalability of our organization's and/or our client’s infrastructure while delivering exceptional support to users.\n\nThis role requires a critical thinker who can effectively troubleshoot complex issues in dynamic environments, work independently, and balance project-based work with escalated support responsibilities.\n\nEssential Responsibilities\n\nAdminister and support Windows Server environments and core infrastructure services. \nManage Active Directory, Group Policy, DNS, DHCP, user accounts, permissions, and identity management. \nAdminister Microsoft 365, including Exchange Online, Teams, SharePoint, OneDrive, licensing, and user support. \nAdminister Microsoft Azure and hybrid identity environments including Microsoft Entra ID. \nMaintain VMware vSphere and Microsoft Hyper-V environments, including vCenter administration, cluster management, virtual machine provisioning, monitoring, patching, maintenance, upgrades, and troubleshooting. \nSupport physical servers, storage systems, and data center operations. \nManage backup and disaster recovery solutions to ensure business continuity. \nProvide Tier II/III technical support and serve as an escalation point for complex technical issues. \nTroubleshoot infrastructure, application, hardware, virtualization, cloud, and end-user technology problems. \nImplement security best practices, system patching, vulnerability remediation, and infrastructure maintenance activities. \nMaintain technical documentation and participate in infrastructure projects, upgrades, migrations, and platform improvements. \nCollaborate with internal teams, vendors, business stakeholders, and clients to support organizational technology needs. \nEffectively prioritize and manage a combination of project work, escalations, and operational support activities. \nCommunicate directly with end users and clients to resolve technical issues and provide updates when required. \n\nQualifications\n\n5+ years of experience supporting enterprise infrastructure environments. \nBachelor's degree in Information Technology, Computer Science, or equivalent work experience. \nExperience providing advanced technical support, escalation handling, and troubleshooting. \nStrong communication, customer service, critical thinking, and problem-solving skills. \nStrong experience with: \nWindows Server Administration \nActive Directory \nMicrosoft 365 Administration \nMicrosoft Azure and Entra ID \nVMware vSphere, vCenter, and/or Microsoft Hyper-V \nDNS, DHCP, and Group Policy \nBackup and recovery solutions \nStorage technologies and data center operations \n\nPreferred Qualifications\n\nExperience working in managed services (MSP) or multi-client environments. \nExperience with PowerShell or automation tools. \nExperience performing virtualization platform maintenance, patching, upgrades, and migrations. \nRelevant certifications such as VMware VCP, Microsoft Azure, Microsoft 365, CompTIA Server+, or similar infrastructure-focused certifications. \n\nKey Competencies\n\nBroad infrastructure knowledge \nStrong troubleshooting and analytical skills \nCritical thinking and problem-solving in dynamic environments \nCustomer-focused approach \nAbility to prioritize and manage multiple responsibilities \nExcellent communication and teamwork skills \nAbility to work independently and as part of a collaborative team \nCommitment to continuous learning \n\nCompensation & Benefits\n\n💵 Competitive pay, based on your experience and technical depth\n\n🖥️ Brand new WFH gear: Laptop, monitor, headset\n\n🏛️ Mandatory government benefits + 13th month pay\n\n🏥 HMO (w/1 dependent)\n\n🏖️ 15 days of PTO/year + Birthday Leave\n\n🎓 Paid certifications + training aligned to your career goals\n\n🎁 Year-end performance bonus\n… 更多\n\n订阅相似职位\n\n基础设施工程师，菲律宾\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：菲律宾 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 15, "reasons": [ "+15 AI/LLM/评测" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4462063962", "title": "Staff / Sr. Staff Engineer, AI Gateway", "company": "Netskope", "location": "台湾 台北市 台北市 (远程办公)", "salary_text": "", "posted": "4 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4462063962/", "queries": [ "AI infrastructure engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nNetskope\n\nStaff / Sr. Staff Engineer, AI Gateway \n\n台湾 台北市 台北市 · 已转发的时间: 4 天前 · 5 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "Join the Future of Security at Netskope\n\nNetskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.\n\nAt Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.\n\nVisit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.\n\nPlease note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.\n\nAbout The Role\n\nNetskope AI Gateway helps global enterprises securely adopt, scale, and govern Generative AI. We are seeking a Staff / Sr. Staff Software Engineer to architect, build, and scale the core systems powering our AI Gateway product and its supporting microservices across SaaS and on-prem/hybrid environments.\n\nBased in Taiwan, you will be a technical anchor for our core development team. This is a hands-on, high-impact individual contributor role focused on building highly scalable backend systems, with real ownership: the systems assigned to you are yours to design, build, and defend — depth matters more than volume. You will operate at the intersection of deep distributed systems engineering and cutting-edge AI technology. We are looking for an engineering leader who leverages AI to accelerate their workflows, but possesses the rigorous, production-grade coding skills required to architect complex systems, ensure enterprise-grade security, and validate AI-generated code.\n\nWhat You Will Be Doing\n\nCore Backend Development: Architect, build, and scale our core AI Gateway solutions, backend services, and high-throughput APIs. You will focus on writing highly concurrent, robust, and maintainable software, primarily in Golang. \nCommand AI-Driven Engineering: Integrate AI and agent-based tooling (e.g., Copilots, code generators) into your daily development workflow to accelerate scaffolding, boilerplate, and hypothesis generation. Crucially, you will act as the gatekeeper: you must possess the deep software engineering expertise to audit AI-generated code, ensure architectural soundness, and reject code that introduces technical debt or security flaws. \nDesign for Scale and Resilience: Build distributed systems capable of handling immense data payloads, streaming LLM responses (Server-Sent Events), and complex proxy routing without introducing unacceptable latency. \nCross-Functional Collaboration: Partner directly with global engineering, AI researchers, and product teams. Translate ambitious AI features into scalable, maintainable software architectures. Raise system design considerations before a single line of feature code is written. \nPush Engineering Excellence: Drive the technical culture of the Taiwan team through architectural reviews, code reviews, and mentorship. Advocate for best practices in modern, AI-augmented software development, security, and scalable system design. \nDeep Systems Debugging: While not primarily an incident support role, you will be the ultimate escalation point for the hardest systemic development roadblocks. Trace complex issues across asynchronous microservices, Kubernetes networking layers, and TLS/Proxy protocols to architect permanent structural fixes. \nShare Production Ownership: Own what you ship — participate in the team's shared on-call rotation, monitor the health of your services, and turn recurring incidents into structural fixes. \n\nWhat Success Looks Like\n\nArchitectural Delivery: You translate ambiguous product requirements into clean, scalable, and secure Golang microservices that handle high throughput and streaming responses with minimal latency. \nAI-Augmented Technical Rigor: You consistently accelerate your output using AI coding tools, but the code you merge is rigorously vetted, secure, and architecturally sound, ensuring all hallucinations are caught. \nElevating Engineering Standards: The technical excellence of the Taiwan team rises because of your presence. Your design documents, code reviews, and mentorship prevent systemic debt before feature code is written. \nDefinitive Problem Solving: When complex cross-boundary roadblocks occur, such as proxy bottlenecks or async race conditions, you deliver definitive root causes and permanent structural fixes. \nSystemic Resilience: The AI Gateway maintains high availability and strict security enforcement while gracefully handling the evolution of major LLM provider APIs and scaling customer traffic. \n\nRequired Skills And Experience\n\nEngineering Experience: 8-10+ years in software engineering, with at least 5+ years deeply focused on backend development, cloud-native services, and distributed systems. \nProduction-Grade Coding: Exceptional software engineering skills in Golang (highly preferred) or Python. You build modular libraries, reliable microservices, and scalable frameworks from scratch. You do not just prompt; you write software. \nAI-Assisted Workflow Proficiency: Demonstrated experience using advanced LLM-based coding agents in real engineering work. You understand where AI accelerates development and where it introduces technical debt or hallucinations, and you have a clear track record of catching what the AI misses. \nSystem Architecture: Expertise in microservices architecture, RESTful/gRPC API design, and navigating complex distributed system trade-offs (consistency vs. availability, caching strategies, asynchronous processing). \nNetworking & Gateway Fundamentals: Deep understanding of Layer 4-7 networking: proxy architectures, HTTP/S, TLS interception, DNS, TCP/IP, and load balancing. \nInfrastructure & Kubernetes: Deep, hands-on experience developing for and debugging services on Docker/Kubernetes. You understand K8s networking, service discovery, and deployment strategies in cloud or hybrid environments. \nAutonomy & Communication: Track record of taking under-specified, ambiguous problems and driving them to working software solutions. Exceptional verbal and written English for complex technical collaboration across global teams. \n\nNice to Have\n\nGenAI Ecosystem: Familiarity with the request/response schemas of major LLM providers (OpenAI, Anthropic, Gemini), streaming formats, agentic protocols such as MCP and A2A, and orchestration frameworks like LangChain or LlamaIndex. \nCybersecurity Domain: Background in Secure Web Gateways (SWG), Zero Trust Network Access (ZTNA), or Data Loss Prevention (DLP). \nCloud Platforms: Experience developing and operating scalable services in AWS, GCP, or Azure. \nEvent Streaming: Experience with message brokers and event-driven architectures (e.g., Apache Kafka). \nObservability: Strong grasp of embedding observability (OpenTelemetry, Prometheus, Grafana) directly into application code. \n\nEducation\n\nBS in Computer Science, Software Engineering, or equivalent practical experience required; MS strongly preferred. \n\nNetskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or menta", "applicants": "5", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：台湾 台北市 台北市 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 94, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 gRPC", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "agentic", "langchain", "llamaindex", "mcp", "hallucination" ], "neg": { "口语流利要求": [ "verbal and written English" ] }, "pos": [], "new": true }, { "id": "4471887669", "title": "Senior Backend Engineer (Integrations)", "company": "Vyntelligence", "location": "印度 德里 新德里 (远程办公)", "salary_text": "", "posted": "2 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471887669/", "queries": [ "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nVyntelligence\n\nSenior Backend Engineer (Integrations) \n\n印度 德里 新德里 · 的时间: 2 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "At Vyn, we're reimagining how work gets done in the deskless world.\n\nOur platform enriches expertly-curated short videos — captured before, during, and after work — with AI-powered automated workflows. We own the world's largest dataset of this kind, enabling field users and customers to make smarter, more efficient decisions about their assets and operations.\n\nOur purpose is to deliver transformative commercial and environmental outcomes, helping global clients across utilities, telecoms, retail and energy improve pricing accuracy, speed up delivery, ensure safety, and maintain compliance.\n\nAbout The Role\n\nAs our customer base grows, so do the volume and complexity of the systems we need to connect to. This role exists to expand our integration capacity. You will design and build new customer integrations and own the health of those already running in production.\n\nYour focus will be on developing integration services that connect our core platform with enterprise tools across CRM, Customer Service, Field Service, Asset Management, Facilities Management, and related areas.\n\nYou will work across the full integration lifecycle: shaping the technical approach with customer-side engineers, implementing it with our Product and Software teams, and keeping it reliable once it's live.\n\nWhat You'll Do\n\nContribute to the technical architecture of each integration, working directly with internal teams and customer technical stakeholders\nDesign and implement integrated solutions for specific customer use cases alongside Product and Software\nBuild reusable connectors and packages for third party systems, as web services on AWS or as custom code on partner ecosystems such as Salesforce\nMonitor, maintain and improve existing integrations in production, including diagnosing and resolving failures\nRaise the team's technical bar through code review, testing standards and mentoring\n\nWhat You'll Need\n\nMinimum 4+ years of experience with 2+ years building production systems in Python experience\nProven experience designing and consuming REST APIs, and owning at least one third party integration end to end\nStrong automated testing practice, unit and integration tests as a default rather than an afterthought\nWorking experience with AWS, including compute, message queues such as SQS, and managed databases\nExperience designing for availability, reliability and performance in distributed systems\nAbility to work directly with external technical stakeholders and turn ambiguous requirements into a workable design\n\nNice to have\n\nSalesforce or other partner ecosystem development\nMulti tenant connector frameworks\nExperience on Infrastructure as Code (IaC) tools\nPrior experience in a scaling B2B SaaS environment\n\nWe are an equal opportunity employer committed to creating a workplace where everyone feels empowered to bring their full, authentic selves to work.\n\nWe celebrate diversity in all forms and make employment decisions based on merit, qualifications, and business needs.\n\nWe do not discriminate on the basis of race, religion, national origin, ancestry, gender, gender identity or expression, sexual orientation, age, disability, genetic information, veteran status, or any other protected characteristic.\n\nIf you need accommodations at any point in the hiring process, we’re here to support you.\n\n… 更多\n\n订阅相似职位\n\n后端开发员，印度 德里 新德里\n\n关\n想找到好工作？\n\n找简历达人帮忙\n\n获取简历修改建议\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 德里 新德里 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 44, "reasons": [ "+20 Python后端", "+6 消息队列", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4471850347", "title": "Sr. Backend Engineer (Python/FastAPI - India Remote)", "company": "Tricon Solutions", "location": "印度 北方邦 勒克瑙 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471850347/", "queries": [ "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nTricon Solutions\n\nSr. Backend Engineer (Python/FastAPI - India Remote)\n\n印度 北方邦 勒克瑙 · 的时间: 3 天前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "APPLY HERE: Start your application on Tuglu — Tricon's candidate screening platform\n\n \n\n \n\n \n\nPosition: Senior Python Backend Engineer\n\nLocation: India Remote - Lucknow or Nagpur preferred\n\nExperience: 8+ Years\n\n \n\n \n\n \n\nOverview:\n\n \n\nWe are looking for a Senior Backend Python Engineer to build and lead core backend services for a highly scalable, data-intensive platform.\n\n \n\nKey Responsibilities :\n\n \n\n1. Design and own scalable backend & computation services.\n\n2. Build configuration-driven and reusable systems.\n\n3. Develop complex SQL queries and efficient data models.\n\n4. Ensure systems are accurate, reliable, reproducible, and auditable.\n\n5. Work on multi-tenant, multi-cloud, and customer-hosted environments.\n\n6. Drive architecture, code reviews, technical decisions, and mentor engineers.\n\n7. Collaborate with Data, AI, and Product teams.\n\n \n\nRequired Skills :\n\n \n\n1. 8+ years of backend engineering experience.\n\n2. Strong backend engineering experience with Python, FastAPI and Bash.\n\n3. Excellent SQL & data modeling skills.\n\n4. Strong system design, scalability, and performance expertise.\n\n5. Experience with configuration-driven/rules-based architectures.\n\n6. Strong focus on quality, testing, and system reliability.\n\n \n\nGood to Have :\n\n \n\nSnowflake | PostgreSQL | dbt | Docker | Kubernetes | Terraform | AI/ML | Finance/Accounting\n\n \n\nINTERESTED? APPLY DIRECTLY HERE: Tuglu — Tricon's candidate screening platform\n\n… 更多\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 北方邦 勒克瑙 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 48, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 Docker", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4471618392", "title": "Backend Software Engineer, II", "company": "Atlassian", "location": "印度 卡纳塔克邦 班加罗尔 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471618392/", "queries": [ "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAtlassian\n\nBackend Software Engineer, II \n\n印度 卡纳塔克邦 班加罗尔 · 的时间: 3 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Overview\n\nWorking at Atlassian\n\nAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.\n\nThis is a remote position. Our office is in Bengaluru, but we offer flexibility for eligible candidates to work remotely across India. Whatever your preference - working from home, an office, or in between - you can choose the place that's best for your work and your lifestyle.\n\nYour future team\n\nTo become a 100 year company, we need a world-class engineering organisation made up of empowered teams who have the tools and infrastructure to do the best work of their careers. As a part of a unified R&D team, Engineering is prioritising key initiatives which support our customers in moving to cloud while simultaneously continuing to bring the most value to our customers through investments across our core product suite – such as Jira, Confluence, Trello, and Bitbucket. We're looking for people who want to write the future and who believe that we can accomplish so much more together. You will report to one of the Engineering Managers of the R&D teams.\n\nResponsibilities\n\nWhat you'll do\n\nBuild and ship features and capabilities daily in highly scalable, cross-geo distributed environment\nBe part of an amazing open and collaborative work environment with other experienced engineers, architects, product managers, and designers\nReview code with best practices of readability, testing patterns, documentation, reliability, security, and performance considerations in mind\nMentor and level up the skills of your teammates by sharing your expertise in formal and informal knowledge sharing sessions\nEnsure full visibility, error reporting, and monitoring of high performing backend services\nParticipate in Agile software development including daily stand-ups, sprint planning, team retrospectives, show and tell demo sessions\n\nCompensation\n\nAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.\n\nThis role may also be eligible for benefits, bonuses, commissions, and equity.\n\nQualifications\n\nYour background\n\n4+ years of experience building and developing backend applications - Bachelor's or Master's degree with a preference for Computer Science degree\nExperience crafting and implementing highly scalable and performant RESTful micro-services\nProficiency in any modern object-oriented programming language (e.g., Java, Kotlin, Go, Scala, Python, etc.)\nFluency in any one database technology (e.g. RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra)\nReal passion for collaboration and strong interpersonal and communication skills\nBroad knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure)\nFamiliarity with cloud architecture patterns and an engineering discipline to produce software with quality\n\nBenefits & Perks\n\nAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .\n\nAbout Atlassian\n\nAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.\n\nWe believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.\n\nTo provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.\n\nTo learn more about our culture and hiring process, visit go.atlassian.com/crh . \n\nIn line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.\n\n… 更多\n\n订阅相似职位\n\n软件工程师，印度 卡纳塔克邦 班加罗尔\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 卡纳塔克邦 班加罗尔 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 58, "reasons": [ "+20 Python后端", "+15 Go语言", "+15 AI/LLM/评测", "+8 分布式/微服务" ], "tier": null, "ai_hits": [], "neg": { "客户/演示/销售": [ "daily stand-ups" ] }, "pos": [], "new": true }, { "id": "4471438517", "title": "REMOTE Java software", "company": "VMO", "location": "河内首都地区 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471438517/", "queries": [ "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nVMO\n\nREMOTE Java software \n\n河内首都地区 · 的时间: 3 天前 · 59 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 3 项技能\n快速申请\n保存", "description": "SENIOR / STAFF BACKEND ENGINEER – JAVA / SPRING BOOT\n\nAbout the Role\n\nWe are looking for a Senior/Staff Backend Engineer to design, build, and operate highly scalable and resilient backend systems that power distributed job orchestration, data ingestion, and workload scheduling.\n\nYou will work extensively with Java 17+, Spring Boot 3, Kafka, MongoDB, OpenSearch/Elasticsearch, and Kubernetes, solving complex problems around distributed systems, asynchronous processing, concurrency, reliability, and large-scale data pipelines.\n\nThis role is ideal for an engineer who enjoys taking ownership of challenging backend systems, making sound architectural decisions, and building reliable software that can operate at scale.\n\nKey Responsibilities\n\n1. Architecture & Backend Development\n\nDesign, develop, and operate resilient Spring Boot microservices for distributed job orchestration and data ingestion.\nBuild highly available and scalable backend services using Java 17+ and Spring Boot 3.\nParticipate in architecture and design reviews, contributing practical solutions to complex distributed-system problems.\nIdentify technical risks early and drive improvements in system reliability, maintainability, and scalability.\nWrite clear architecture specifications, technical proposals, and engineering documentation.\n\n2. Event Streaming & Distributed Messaging\n\nDesign and operate event-driven architectures using Kafka and other messaging systems.\nBuild reliable message-processing pipelines with:\nIdempotency\nStrict ordering\nRetry and recovery mechanisms\nDead-letter handling\nBackpressure management\nFailure isolation\nAnalyze and resolve production issues involving message delivery, consumer lag, concurrency, and distributed processing.\nEnsure messaging systems remain reliable and observable under high workloads.\n\n3. Data Pipelines & Storage\n\nDesign and optimize data ingestion and processing pipelines.\nWork with MongoDB, OpenSearch/Elasticsearch, and other NoSQL/search technologies.\nOptimize indexing throughput, query performance, storage efficiency, and data access patterns.\nAnalyze bottlenecks across application, database, and search layers.\nDesign data models and processing strategies suitable for high-volume distributed workloads.\n\n4. Distributed Scheduling & Kubernetes\n\nDesign, implement, and scale distributed workload/job schedulers.\nDevelop scheduling mechanisms that handle concurrency, retries, workload distribution, and failure recovery.\nDeploy and operate services and workloads on Kubernetes.\nTroubleshoot pod lifecycle issues, resource constraints, networking problems, and workload failures.\nWhere appropriate, leverage Kubernetes APIs/client libraries to integrate application-level scheduling with cluster-level orchestration.\n\n5. Concurrency & Asynchronous Processing\n\nDesign concurrent and asynchronous systems using Java concurrency primitives and modern asynchronous execution models.\nWork with thread pools, executors, non-blocking I/O, reactive/asynchronous processing, and task scheduling.\nIdentify and mitigate race conditions, deadlocks, thread starvation, resource exhaustion, and other concurrency-related failure modes.\nBuild systems that remain predictable and resilient under high levels of parallelism.\n\n6. Engineering Quality, Testing & Observability\n\nEstablish and maintain high engineering standards across design, implementation, testing, and deployment.\nDevelop comprehensive unit and integration tests using JUnit 5, Testcontainers, and related tooling.\nBuild reliable test strategies for distributed systems and asynchronous workflows.\nUse logs, metrics, and distributed traces to perform root-cause analysis of production incidents.\nImprove system observability and operational readiness.\n\n7. Security & Reliability\n\nApply robust security practices throughout application design and implementation.\nImplement appropriate authentication, authorization, input validation, secrets management, and secure service-to-service communication.\nApply resilience patterns such as circuit breakers, retries, rate limiting, bulkheads, and timeouts where appropriate.\nContinuously identify and address reliability and security risks.\n\nRequired Qualifications\n\nTechnical Requirements\n\n7+ years of professional backend software engineering experience.\nStrong hands-on expertise with Java 17+.\nExtensive experience with Spring Boot 3 and building production-grade microservices.\nStrong understanding of distributed systems, asynchronous processing, and concurrent programming.\nProduction experience with message brokers, preferably Apache Kafka. Experience with RabbitMQ, Pulsar, or AWS SQS is also valuable.\nStrong understanding of:\nThread management\nThread pools and executors\nNon-blocking I/O\nAsynchronous execution\nConcurrency control\nFailure handling and recovery\nPractical experience with NoSQL/document/search databases such as:\nMongoDB\nOpenSearch\nElasticsearch\nDynamoDB\nStrong experience with Docker and containerized applications.\nProficiency with Maven or Gradle, including multi-module project structures.\nStrong automated testing experience with JUnit 5, Testcontainers, and integration testing.\nExperience diagnosing production issues using logs, metrics, and distributed tracing.\nAbility to write clear technical documentation, architecture proposals, and code review feedback.\n\nNice to Have\n\nHands-on operational experience with Kubernetes, including pod lifecycle management, workload debugging, and Kubernetes APIs/client libraries.\nExperience implementing resilience patterns using Resilience4j or similar frameworks.\nExperience building and distributing standalone JVM CLI applications, workers, or background processing binaries.\nExperience with schema-driven development, including:\nOpenAPI\nJSON Schema\nProtobuf\nAvro\nExperience with cloud platforms such as AWS or Azure.\nExperience with CI/CD automation and modern DevOps practices.\nFamiliarity with other programming languages such as Go, TypeScript, or Rust.\n\nProfessional Attributes\n\nProactive Ownership\n\nTake end-to-end ownership of assigned systems and technical initiatives.\nScope work honestly and communicate assumptions, risks, and dependencies early.\nProactively escalate technical or delivery risks before they become production problems.\n\nArchitectural Clarity\n\nBuild systems that are understandable, maintainable, and extensible.\nStrive to leave codebases, architecture, and documentation in a better state than before.\nMake architectural decisions based on clear trade-offs and long-term maintainability.\n\nTechnical Rigor\n\nActively clarify ambiguous requirements before implementation.\nChallenge assumptions constructively and contribute meaningfully to design discussions.\nMaintain high standards for code quality, testing, security, reliability, and operational readiness.\nProvide thoughtful and actionable code review feedback.\n\nTechnology Stack\n\nBackend: Java 17+, Spring Boot 3, Spring Framework\n\nMessaging: Apache Kafka, RabbitMQ, Pulsar, AWS SQS\n\nDatabases & Search: MongoDB, OpenSearch, Elasticsearch, DynamoDB\n\nInfrastructure: Kubernetes, Docker\n\nBuild: Maven, Gradle\n\nTesting: JUnit 5, Testcontainers\n\nResilience: Resilience4j, Circuit Breakers, Rate Limiting\n\nAPI & Schemas: REST, OpenAPI, JSON Schema, Protobuf, Avro\n\nCloud & DevOps: AWS/Azure, CI/CD\n\nObservability: Distributed Logs, Metrics, Tracing\n\nWhat Success Looks Like\n\nIn this role, you will be expected to:\n\nBuild and operate reliable distributed backend services at scale.\nImprove the reliability and throughput of event-driven data pipelines.\nDesign scheduling and orchestration systems capable of handling concurrent workloads.\nDiagnose and resolve complex production issues efficiently.\nRaise engineering standards through better architecture, testing, observability, and documentation.\nTake ownership of technical problems from design through production operation.\n\n… 更多\n\n订阅相似职位\n\nREMOTE Java software，河内首都地区\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案", "applicants": "59", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：河内首都地区 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 123, "reasons": [ "+15 React前端", "+12 TypeScript", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+8 MongoDB", "+6 消息队列", "+8 gRPC", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [ "async明说" ], "new": true }, { "id": "4471446004", "title": "Senior Backend Engineer, NIRA", "company": "Tilt", "location": "印度 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471446004/", "queries": [ "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nTilt\n\nSenior Backend Engineer, NIRA \n\n印度 · 的时间: 3 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Join the Tilt team\n\nAt Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward.\n\nNIRA is building a consumer credit platform for Middle India, targeting ~200m underservied people. Active in 5000+ cities and processing 15,000+ loan applications/day, NIRA is backed by and integrated with US-based Tilt.\n\nThe opportunity - Senior Backend Engineer, NIRA\n\nWe’re looking for a strong Senior Software Engineer to join NIRA’s engineering team. You will have the opportunity to shape strategy for the infrastructure and product roadmap. This role will give you the ability to have a direct and outsized impact on technical projects, leading to enormous potential for career-growth.\n\nHow You'll Make An Impact\n\nWork closely with the local NIRA Engineering team, and partner with the broader APAC Engineering team to increase the scale our platform can handle.\nExpand the platform to support multiple financial products and underlying instruments.\nDrive iterations on credit policy and improve credit decision systems.\nCollaborate with product, credit/finance, compliance, support and analytics teams.\n\nWhy you're a great fit\n\n7+ years of experience \nStrong experience using Java (ideally .net too).\nDemonstrated experience working in AWS-native environments, using tools like DynamoDB, Athena and Lambda.\nYou have experience with scaled technical solutions - have worked on projects to increase the scaleability of a platform.\nClear communicator, ability to clearly articulate technical solutions and collaborate with colleagues globally.\nProduct Engineer mentality - own your solutions from start to finish.\n\nDon’t meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you.\n\nWhat You'll Get At Tilt\n\nVirtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement.\nCompetitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity.\nComplete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards.\nVisibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly.\nPaid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.)\nImpact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines.\n\nThe Tilt Way\n\nWe're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable — brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures.\n\nYou’re pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.\n… 更多\n\n订阅相似职位\n\n后端开发员，印度\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 10, "reasons": [ "+10 高级职位" ], "tier": "general", "ai_hits": [ "machine learning" ], "neg": {}, "pos": [], "new": true }, { "id": "4469714477", "title": "Senior Backend Engineer Fully Remote", "company": "BLOOMTECH, Inc", "location": "日本 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4469714477/", "queries": [ "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBLOOMTECH, Inc\n\nSenior Backend Engineer Fully Remote\n\n日本 · 的时间: 3 天前 · 25 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nYoshinori Alejandro \n\n• 3度+\n\nBLOOMTECH, Inc - テクニカルリクルーター【株式会社ブルームテック🌎 | エンジニア転職支援✨ | つながり申請歓迎💪】 キャリア相談、採用相談、いつでもお気軽にご相談ください🙌\n\n职位发布者\n\n发消息", "description": "＜＜求人ポイント＞＞\n\n・業種・業態を問わず3,000社以上の経営者や現場マネジメント層に選ばれる、HRテック領域を牽引する成長企業です。\n\n・既存の主力プロダクトに加え、新規プロダクトの立ち上げなどマルチプロダクト戦略を推進する強固な経営基盤を持っています。\n\n・日本全国どこからでも勤務可能なフルリモート制や、中抜け可能なスーパーフレックス制を導入しており、柔軟な働き方が可能です。\n\n■年収範囲\n\n6,500,000 ～ 12,000,000円\n\n◆◆◆ 募集企業の取り組みについて ◆◆◆\n\n社員の才能を発掘し戦略人事を加速させるタレントマネジメントシステムを主力とし、企業の働き方改革を推進するHRテクノロジー企業です。加えて、ペーパーレスで人事業務のDX化を推進する労務管理システムや、経営データを一元化し正確な経営判断を支援する予実管理システムなどを展開しています。多様な経営課題を解決するソリューションを提供し、さらなるマルチプロダクト化を進めています。\n\n◆◆◆ なぜ実現できるのか ◆◆◆\n\n・業種・業態を問わず3,000社以上に選ばれる圧倒的なプロダクト力と強固な顧客基盤。\n\n・タレントマネジメントだけでなく、労務管理や予実管理など拡大し続けるHR・経営支援市場の巨大なポテンシャル。\n\n・主力事業の安定した収益を基盤に、新規サービスへ持続的に投資できる盤石な経営体力。\n\n・次世代の技術スタック（Go、Next.jsなど）を用いたシステム改善やアーキテクチャ刷新に向けた積極的な技術投資。\n\n◆◆◆ 本ポジションのやりがい ◆◆◆\n\n主力サービスだけでなく、新規サービスの立ち上げフェーズからプロダクト開発に携わることができ、マルチプロダクト化を技術面から牽引する大きな裁量があります。Go言語を用いたアプリケーションの設計からシステム改善まで幅広く担当でき、最前線での技術的な挑戦が可能です。また、ご自身の志向や経験に合わせて、将来的にテックリードやエンジニアリングマネージャーへとステップアップできる柔軟なキャリアパスが用意されています。\n\n◆◆◆ 使用ツール ◆◆◆\n\n- 開発言語：Go / TypeScript\n\n- フレームワーク：Next.js\n\n- インフラ：AWS / GCP\n\n■必須スキル\n\n- Go言語による開発経験\n\n- Webアプリケーションの設計・開発経験（3年以上）\n\n- オブジェクト指向による設計・開発経験\n\n- 単体テストを用いた継続的な開発の経験\n\n■歓迎スキル\n\n- Next.js/TypeScriptを使用したフロントエンドの実装経験\n\n- 大規模なWebアプリケーションにおける負荷・可用性などを考慮した設計・開発経験\n\n- クリーンアーキテクチャを用いた設計・実装経験\n\n- サーバーサイド分野でのテックリード経験やクラウドサービス（AWSやGCPなど）を利用した開発経験\n\n---\n\n<< Key Job Points >>\n\n* A rapidly growing company driving the HR tech sector, with its services selected by over 3,000 companies across various industries.\n\n* Possesses a robust business foundation that supports a multi-product strategy, including the launch of innovative new services alongside its core product.\n\n* Offers a highly flexible work environment featuring fully remote work from anywhere in Japan and a super-flextime system that allows mid-day breaks.\n\n■ Annual Salary Range\n\n6,500,000 - 12,000,000 JPY\n\n◆◆◆ About the Company's Initiatives ◆◆◆\n\nThis HR technology company drives corporate workstyle reforms by providing a core talent management system that uncovers employee potential and accelerates strategic HR. In addition, they offer a labor management system that promotes paperless HR digital transformation and a budget management system that centralizes data to support accurate management decisions. They are continuously expanding their multi-product offerings to provide comprehensive solutions for diverse management challenges.\n\n◆◆◆ Why We Can Achieve This ◆◆◆\n\n* Overwhelming product power backed by a solid customer base of over 3,000 client companies across all industries.\n\n* Massive market potential in the ever-expanding HR and corporate management support sectors.\n\n* A rock-solid business foundation supported by stable revenue from core operations, enabling continuous investment in new ventures.\n\n* Aggressive technological investments aimed at system improvements and architectural modernization using modern stacks like Go and Next.js.\n\n◆◆◆ Why This Position is Rewarding ◆◆◆\n\nYou will have the significant autonomy to drive the company's multi-product strategy from a technical perspective, participating in product development from the very launch phase of new services. This role offers profound technical challenges, allowing you to handle everything from application design to system improvement using Go. Furthermore, there are flexible and clear career paths available, allowing you to step up into Tech Lead or Engineering Manager roles based on your career aspirations and experience.\n\n◆◆◆ Tools Used ◆◆◆\n\n- Languages: Go, TypeScript\n\n- Frameworks: Next.js\n\n- Infrastructure: AWS, GCP\n\n■ Minimum Requirements\n\n- Development experience using Go\n\n- 3+ years of experience in web application design and development\n\n- Experience in object-oriented design and development\n\n- Experience in continuous development using unit testing\n\n■ Preferred Qualifications\n\n- Frontend implementation experience using Next.js/TypeScript\n\n- Design and development experience considering load and availability in large-scale web applications\n\n- Design and implementation experience using Clean Architecture\n\n- Experience as a Tech Lead in the server-side field or development experience using cloud services (e.g., AWS, GCP)\n\n当社の転職支援サービスに登録または利用した時点で、 以下の利用規約とプライバシーポリシーの内容全てに同意したものとみなされます。\n\n■ ブルームテックキャリア\n\n- 職業紹介サービス 利用規約\n\nhttps://bloomtech.co.jp/terms/\n\n- プライバシーポリシー\n\nhttps://bloomtech.co.jp/privacy/\n\n… 更多\n\n订阅相似职位\n\nSenior Backend Engineer Fully Remote，日本\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "25", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：日本 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 37, "reasons": [ "+12 TypeScript", "+15 Go语言", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4469388029", "title": "Senior Software Engineer (LINE API / LIFF App)", "company": "雅虎", "location": "日本 (远程办公)", "salary_text": "", "posted": "4 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4469388029/", "queries": [ "Python backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\n雅虎\n\nSenior Software Engineer (LINE API / LIFF App) \n\n日本 · 的时间: 4 天前 · 24 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Boundless Inc., part of Yahoo Inc (headquartered in the U.S.), is a trusted marketing and advertising partner empowering global companies to succeed in the Japanese market. With multilingual teams spanning key regions worldwide, we deliver end-to-end solutions driven by deep local insights and a global perspective.\n\nAbout Our Team\n\nWe're part of Yahoo Inc. and Boundless Inc. We build a search and display advertising management platform for global clients entering the Japanese market. It includes tools that manage large volumes of ad data automatically and AI that simplifies complex business workflows.\n\nWe're now building new systems to add and grow revenue streams. A core part of this is LINE, Japan's leading messaging platform, where we're building new features that generate revenue.\n\nWe're looking for a Senior Software Engineer based in Japan with hands-on experience using the LINE Messaging API and LIFF (LINE Front-end Framework). You'll work closely with teams in the U.S. and Japan to design solutions, build messaging workflows that scale, and open new revenue channels for the business.\n\nOur Culture\n\nWe work like an agile startup inside Yahoo, with teammates around the world and a remote-first way of working. We're looking for engineers who are:\n\nSelf-Driven Owners: You take a feature from idea to production and keep improving it.\nGlobal Collaborators: You communicate proactively and in writing across time zones and cultures.\nAgile Thinkers: You ship small experiments, measure the results, and share what you learn with the team.\n\nResponsibilities:\n\nDesign, build, and optimize LINE messaging services and applications on AWS, using AI coding agents (e.g., Claude Code, Copilot agent mode) as part of your daily work.\nBuild new product features and internal tools for our global clients.\nPartner with cross-functional stakeholders to identify user pain points and translate business requirements into robust technical specifications.\nDeeply understand the architecture of our existing ad platform well enough to build smooth integrations and keep the system healthy.\nContinuously enhance core components of the whole ecosystem for improved performance and scalability.\n\nMust-Have Qualifications:\n\nBachelor's degree in Computer Science or a related field, or equivalent practical experience.\n8+ years of professional experience in software development.\nDeep hands-on experience with the LINE Messaging API and LIFF, plus proven experience building and launching LINE MINI Apps, including LINE SDKs and LINE Login/authentication flows.\nStrong programming proficiency with Java, JavaScript, and TypeScript\nExperience designing REST APIs and running containerized (Docker) applications on AWS or GCP in Linux environments.\nSolid grounding in object-oriented design, concurrency, and distributed systems.\nStrong foundation in algorithms and data structures, with hands-on experience in relational databases (e.g., MySQL, Oracle) and/or large-scale data stores (e.g., BigQuery).\nExperience with other LINE APIs is a plus.\n\nSoft Skills & Communication:\n\nExcellent technical analysis, problem-solving, and communication skills.\nProactive mindset with a strong sense of end-to-end ownership.\nBusiness-level Japanese and English, both spoken and written.\n\nWork Schedule & Location:\n\nOverlapping Hours: Engineering team are based in both Japan and the United States, this role requires working from 6:00 AM JST (Tuesday through Friday) to maintain sufficient overlapping hours with U.S. based colleagues. Mondays follow standard local working hours.\nWork Arrangement: This position is primarily remote (work-from-home), with occasional in-office meetings or team gatherings in Japan.\n\nBoundless is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.\n\nAt Boundless, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best.\n\nYahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.\n\nIf you’re curious about how this factors into this role, please discuss with the recruiter.\n… 更多\n\n订阅相似职位\n\n高级软件工程师，日本\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：日本 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+12 TypeScript", "+8 Docker", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "copilot" ], "neg": { "线下/混合办公": [ "in-office" ] }, "pos": [], "new": true }, { "id": "4468538466", "title": "HFT Developer / Researcher", "company": "SYNDICATE Finance", "location": "印度 德里 新德里 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4468538466/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSYNDICATE Finance\n\nHFT Developer / Researcher\n\n印度 德里 新德里 · 的时间: 3 天前 · 45 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nAditya Zalpuri \n\n• 3度+\n\nAspiring research analyst || Software engineer || Software Development || Experience with C-Language, C++ and Python\n\n职位发布者\n\n发消息", "description": "Location: Pan India\n\nWork Mode: Remote\n\nExperience: 5+ Years\n\nWe are looking for a highly skilled Senior HFT Research & Development Engineer with strong experience in C++ and FPGA-based low-latency systems to join our team remotely from anywhere in India.\nThe role will focus on the research, development, optimization, and implementation of high-frequency trading (HFT) strategies and low-latency trading infrastructure. The ideal candidate should have a strong understanding of financial markets, electronic trading systems, performance-critical C++ development, and FPGA-based acceleration.\n\nKey Responsibilities\nResearch and develop high-frequency and algorithmic trading strategies.\nDesign and implement ultra-low-latency trading systems in C++.\nDevelop and optimize market-data processing, order-management, and execution components.\nWork with FPGA-based technologies for low-latency market-data processing and trading applications.\nOptimize systems for latency, throughput, determinism, and reliability.\nWork with real-time market data, order books, exchange protocols, and execution systems.\nConduct strategy research, simulation, backtesting, and performance analysis.\nProfile and optimize existing systems at both software and hardware levels.\nCollaborate with quantitative researchers and trading/infrastructure teams to take strategies from research to production.\n… 更多\n\n订阅相似职位\n\nHFT Developer / Researcher，印度 德里 新德里\n\n关", "applicants": "45", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 德里 新德里 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 10, "reasons": [ "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4472420463", "title": "IoT & Cloud Infrastructure Engineer", "company": "Pragmatike", "location": "中国 广东省 广州 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472420463/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nPragmatike\n\nIoT & Cloud Infrastructure Engineer\n\n中国 广东省 广州 · 的时间: 1 天前 · 1 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Location: Remote-First, China (Shenzhen, Shanghai, Beijing, Guangzhou)\n\nEmployment: Full-Time\n\nStart Date: ASAP\n\nExperience: 4+ years\n\nLanguage: Fluent English required, Korean or Mandarin is a strong plus\n\nIndustry: Robotics / Physical AI / IoT\n\nAbout The Opportunity\n\nPragmatike is recruiting on behalf of an early-stage, venture-backed Physical AI company building the data layer that robots need to operate in the real world.\n\nMost robot training data today is vision-only. But grasping, inserting and handling objects depends on contact, force and slip, which cameras cannot see. Our client captures synchronized vision and touch data from real human work, using low-cost wearable sensing devices and cameras, and turns it into high-fidelity datasets used to train and evaluate robot manipulation models.\n\nThis is a hands-on engineering role. You will own the full technical chain that makes data collection work in the field: from the firmware running on the sensing devices to the cloud pipelines that ingest, store and process the data at scale. You will work remotely as the technical owner of deployments in your region, collaborating closely with hardware, ML and data teams.\n\nWhat You'll Do\n\nFirmware: Design, develop and maintain firmware for wearable sensing devices (microcontrollers, sensor integration, real-time data acquisition). \nDevice-to-cloud: Build reliable communication and data streaming between devices and cloud services for synchronized vision and tactile data. \nCloud infrastructure: Design and operate the AWS stack (EC2, S3, Lambda, IoT Core) handling large-scale collection, storage and processing of multimodal data, with a focus on scalability, security and performance. \nData pipelines: Develop APIs, ingestion services and data pipelines in Python for high-throughput, reliable processing. \nFleet & deployments: Remotely deploy, monitor and maintain the device fleet and capture setups used at real-world collection sites, and turn field issues into engineering fixes. Occasional travel to sites may be required. \nFull-stack debugging: Troubleshoot issues across the whole chain, from device firmware to cloud deployment. \nCollaboration: Work with hardware, ML and data teams to define system requirements, and contribute to testing, documentation and continuous improvement of the data collection infrastructure. \n\nWhat We're Looking For\n\n4+ years of engineering experience across embedded systems and cloud. \nStrong embedded and firmware skills: C/C++, RTOS, microcontrollers, real-time systems, sensor integration, low-level programming. \nHands-on AWS experience: EC2, S3, Lambda, IoT Core, and data pipelines built for high throughput and reliability. \nSolid software engineering in Python or similar: APIs, data streaming services, hardware-to-cloud integration. \nGood grasp of networking, security best practices, performance optimization, monitoring and logging. \nStrong debugging skills across hardware, firmware and cloud layers, and comfort in fast-paced, experimental environments. \nStrong ownership and the ability to work independently in a remote-first, distributed environment. \nBachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or a related field, or equivalent practical experience. \nFluent English. Korean or Mandarin is a strong plus. \n\nNice to Have\n\nExperience with robotics, tactile or force sensing, wearables or IoT devices. \nExperience building real-world data collection systems (sensor fusion, time synchronization, multi-camera capture). \nExposure to ML data pipelines or datasets for robot learning. \nExperience deploying and supporting hardware in the field, including remote device management. \n\nWhy Join\n\nJoin a very early team at the core of Physical AI, one of the fastest-growing fields in tech. \nOwn a critical system end to end, from device firmware to cloud. \nYour work directly shapes the datasets used to train next-generation robot manipulation models. \nHigh ownership, fast iteration and real-world impact from day one. \n\nPragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.\n\nIn accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.\n\n… 更多\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 74, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+15 全球远程" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4472422362", "title": "IoT & Cloud Infrastructure Engineer", "company": "Pragmatike", "location": "中国 上海市 上海市 (远程办公)", "salary_text": "", "posted": "1 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472422362/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nPragmatike\n\nIoT & Cloud Infrastructure Engineer\n\n中国 上海市 上海市 · 的时间: 1 天前 · 3 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Location: Remote-First, China (Shenzhen, Shanghai, Beijing, Guangzhou)\n\nEmployment: Full-Time\n\nStart Date: ASAP\n\nExperience: 4+ years\n\nLanguage: Fluent English required, Korean or Mandarin is a strong plus\n\nIndustry: Robotics / Physical AI / IoT\n\nAbout The Opportunity\n\nPragmatike is recruiting on behalf of an early-stage, venture-backed Physical AI company building the data layer that robots need to operate in the real world.\n\nMost robot training data today is vision-only. But grasping, inserting and handling objects depends on contact, force and slip, which cameras cannot see. Our client captures synchronized vision and touch data from real human work, using low-cost wearable sensing devices and cameras, and turns it into high-fidelity datasets used to train and evaluate robot manipulation models.\n\nThis is a hands-on engineering role. You will own the full technical chain that makes data collection work in the field: from the firmware running on the sensing devices to the cloud pipelines that ingest, store and process the data at scale. You will work remotely as the technical owner of deployments in your region, collaborating closely with hardware, ML and data teams.\n\nWhat You'll Do\n\nFirmware: Design, develop and maintain firmware for wearable sensing devices (microcontrollers, sensor integration, real-time data acquisition). \nDevice-to-cloud: Build reliable communication and data streaming between devices and cloud services for synchronized vision and tactile data. \nCloud infrastructure: Design and operate the AWS stack (EC2, S3, Lambda, IoT Core) handling large-scale collection, storage and processing of multimodal data, with a focus on scalability, security and performance. \nData pipelines: Develop APIs, ingestion services and data pipelines in Python for high-throughput, reliable processing. \nFleet & deployments: Remotely deploy, monitor and maintain the device fleet and capture setups used at real-world collection sites, and turn field issues into engineering fixes. Occasional travel to sites may be required. \nFull-stack debugging: Troubleshoot issues across the whole chain, from device firmware to cloud deployment. \nCollaboration: Work with hardware, ML and data teams to define system requirements, and contribute to testing, documentation and continuous improvement of the data collection infrastructure. \n\nWhat We're Looking For\n\n4+ years of engineering experience across embedded systems and cloud. \nStrong embedded and firmware skills: C/C++, RTOS, microcontrollers, real-time systems, sensor integration, low-level programming. \nHands-on AWS experience: EC2, S3, Lambda, IoT Core, and data pipelines built for high throughput and reliability. \nSolid software engineering in Python or similar: APIs, data streaming services, hardware-to-cloud integration. \nGood grasp of networking, security best practices, performance optimization, monitoring and logging. \nStrong debugging skills across hardware, firmware and cloud layers, and comfort in fast-paced, experimental environments. \nStrong ownership and the ability to work independently in a remote-first, distributed environment. \nBachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or a related field, or equivalent practical experience. \nFluent English. Korean or Mandarin is a strong plus. \n\nNice to Have\n\nExperience with robotics, tactile or force sensing, wearables or IoT devices. \nExperience building real-world data collection systems (sensor fusion, time synchronization, multi-camera capture). \nExposure to ML data pipelines or datasets for robot learning. \nExperience deploying and supporting hardware in the field, including remote device management. \n\nWhy Join\n\nJoin a very early team at the core of Physical AI, one of the fastest-growing fields in tech. \nOwn a critical system end to end, from device firmware to cloud. \nYour work directly shapes the datasets used to train next-generation robot manipulation models. \nHigh ownership, fast iteration and real-world impact from day one. \n\nPragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.\n\nIn accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.\n\n… 更多\n\n订阅相似职位\n\n基础设施工程师，中国 上海市 上海市\n\n关", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 74, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+15 全球远程" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4472420462", "title": "IoT & Cloud Infrastructure Engineer", "company": "Pragmatike", "location": "中国 广东省 深圳 (远程办公)", "salary_text": "", "posted": "1 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472420462/", "queries": [ "MCP agent @ Asia", "AI evaluation engineer @ Asia", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nPragmatike\n\nIoT & Cloud Infrastructure Engineer\n\n中国 广东省 深圳 · 的时间: 1 天前 · 2 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Location: Remote-First, China (Shenzhen, Shanghai, Beijing, Guangzhou)\n\nEmployment: Full-Time\n\nStart Date: ASAP\n\nExperience: 4+ years\n\nLanguage: Fluent English required, Korean or Mandarin is a strong plus\n\nIndustry: Robotics / Physical AI / IoT\n\nAbout The Opportunity\n\nPragmatike is recruiting on behalf of an early-stage, venture-backed Physical AI company building the data layer that robots need to operate in the real world.\n\nMost robot training data today is vision-only. But grasping, inserting and handling objects depends on contact, force and slip, which cameras cannot see. Our client captures synchronized vision and touch data from real human work, using low-cost wearable sensing devices and cameras, and turns it into high-fidelity datasets used to train and evaluate robot manipulation models.\n\nThis is a hands-on engineering role. You will own the full technical chain that makes data collection work in the field: from the firmware running on the sensing devices to the cloud pipelines that ingest, store and process the data at scale. You will work remotely as the technical owner of deployments in your region, collaborating closely with hardware, ML and data teams.\n\nWhat You'll Do\n\nFirmware: Design, develop and maintain firmware for wearable sensing devices (microcontrollers, sensor integration, real-time data acquisition). \nDevice-to-cloud: Build reliable communication and data streaming between devices and cloud services for synchronized vision and tactile data. \nCloud infrastructure: Design and operate the AWS stack (EC2, S3, Lambda, IoT Core) handling large-scale collection, storage and processing of multimodal data, with a focus on scalability, security and performance. \nData pipelines: Develop APIs, ingestion services and data pipelines in Python for high-throughput, reliable processing. \nFleet & deployments: Remotely deploy, monitor and maintain the device fleet and capture setups used at real-world collection sites, and turn field issues into engineering fixes. Occasional travel to sites may be required. \nFull-stack debugging: Troubleshoot issues across the whole chain, from device firmware to cloud deployment. \nCollaboration: Work with hardware, ML and data teams to define system requirements, and contribute to testing, documentation and continuous improvement of the data collection infrastructure. \n\nWhat We're Looking For\n\n4+ years of engineering experience across embedded systems and cloud. \nStrong embedded and firmware skills: C/C++, RTOS, microcontrollers, real-time systems, sensor integration, low-level programming. \nHands-on AWS experience: EC2, S3, Lambda, IoT Core, and data pipelines built for high throughput and reliability. \nSolid software engineering in Python or similar: APIs, data streaming services, hardware-to-cloud integration. \nGood grasp of networking, security best practices, performance optimization, monitoring and logging. \nStrong debugging skills across hardware, firmware and cloud layers, and comfort in fast-paced, experimental environments. \nStrong ownership and the ability to work independently in a remote-first, distributed environment. \nBachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or a related field, or equivalent practical experience. \nFluent English. Korean or Mandarin is a strong plus. \n\nNice to Have\n\nExperience with robotics, tactile or force sensing, wearables or IoT devices. \nExperience building real-world data collection systems (sensor fusion, time synchronization, multi-camera capture). \nExposure to ML data pipelines or datasets for robot learning. \nExperience deploying and supporting hardware in the field, including remote device management. \n\nWhy Join\n\nJoin a very early team at the core of Physical AI, one of the fastest-growing fields in tech. \nOwn a critical system end to end, from device firmware to cloud. \nYour work directly shapes the datasets used to train next-generation robot manipulation models. \nHigh ownership, fast iteration and real-world impact from day one. \n\nPragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.\n\nIn accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.\n\n… 更多\n\n订阅相似职位\n\n基础设施工程师，中国 广东省 深圳\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 74, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+15 全球远程" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4362612487", "title": "Pioneer Talent Program - Applied AI Agent/AI Productivity Engineer (Top Talent Program)", "company": "Binance", "location": "香港特别行政区 香港 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4362612487/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBinance\n\nPioneer Talent Program - Applied AI Agent/AI Productivity Engineer (Top Talent Program)\n\n香港特别行政区 香港 · 已转发的时间: 3 天前 · 超过 100 位申请者\n\n由招聘者推广 • 积极审核申请者\n\n远程办公\n全职\n0 项技能匹配，共 8 项技能\n快速申请\n保存", "description": "Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.\n\nAbout The Pioneer Talent Program\n\nAre you an early-career professional ready to kickstart your career in the dynamic world of blockchain? Binance’s Pioneer Talent Program is designed to nurture ambitious individuals like you. The program offers full-time roles where participants will gain hands-on expertise via a tailored training curriculum and personalized 1:1 mentorship from industry leaders. Dive behind the scenes of the world’s leading blockchain ecosystem while building the skills to thrive in Web3. Launch your career with purpose—join us in shaping the future of digital innovation.\n\nWho May Apply\n\nCandidates with up to 5 years of relevant work experience\n\nResponsibilities\n\nDesign and develop AI-powered productivity tools for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools and workflow automation.\nBuild and integrate LLM-powered applications for real-world engineering use cases, such as code generation, code understanding, testing and developer workflow automation.\nDevelop AI Agent workflows and supporting infrastructure, including tool calling, context management, memory, evaluation and workflow orchestration.\nIntegrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity.\nWork closely with engineering teams to identify development bottlenecks and translate them into practical AI-driven solutions.\nApply approaches such as Prompt Engineering, RAG, AI Agents and MCP/tool calling, and continuously evaluate emerging AI technologies for practical adoption.\nOwn projects end-to-end, from problem definition and technical design to implementation, deployment and iteration.\n\nRequirements\n\nBachelor's degree or above in Computer Science, Data Science, Software Engineering or a related field.\n1–5 years of software engineering or applied AI engineering experience.\nProficient in at least one programming language, such as Python, Java, Go or JavaScript/TypeScript.\nSolid software engineering fundamentals, including API integration, system design, debugging and testing.\nHands-on experience building or integrating LLM-powered applications.\nPractical understanding of one or more of LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management or AI evaluation.\nExperience with backend, platform or full-stack development and integrating AI capabilities into production or internal workflows.\nStrong problem-solving and learning ability, with a hands-on and proactive approach.\nGood communication and collaboration skills, with the ability to work closely with engineering teams to understand and solve real-world problems.\n\nBonus Points \n\nExperience building AI productivity tools, developer tools, internal platforms or workflow automation systems.\nExperience with AI Agent frameworks, Agent memory, tool orchestration or multi-agent systems.\nExperience integrating LLMs into software development workflows, such as coding, testing, code review or deployment.\nExperience with RAG, knowledge systems, search or documentation platforms.\nExposure to DevOps, CI/CD, cloud infrastructure or engineering automation.\nExperience with LangChain, Claude Agent SDK, MCP or similar AI tooling.\nOpen-source contributions or an active GitHub portfolio.\n\nWhy Binance\n\n Shape the future with the world’s leading blockchain ecosystem\n Collaborate with world-class talent in a user-centric global organization with a flat structure\n Tackle unique, fast-paced projects with autonomy in an innovative environment\n Thrive in a results-driven workplace with opportunities for career growth and continuous learning\n Competitive salary and company benefits\n Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)\n\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\n\n By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice .\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\n… 更多\n\n订阅相似职位\n\n战地工程师，香港特别行政区 香港\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：香港特别行政区 香港 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 88, "reasons": [ "+20 Python后端", "+12 TypeScript", "+15 Go语言", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agent", "llm agents", "multi-agent", "langchain", "mcp", "rag", "tool calling", "evaluation" ], "neg": {}, "pos": [], "new": true }, { "id": "4434317839", "title": "QA Engineer - Automation Backend Testing, Coding (Fully Remote)", "company": "Binance", "location": "香港特别行政区 香港 (远程办公)", "salary_text": "", "posted": "4 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4434317839/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBinance\n\nQA Engineer - Automation Backend Testing, Coding (Fully Remote)\n\n香港特别行政区 香港 · 已转发的时间: 4 天前 · 超过 100 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 5 项技能\n快速申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.\n\nResponsibilities\n\nOwn end-to-end quality assurance for BigPay (Fiat) business: requirements review → test planning → case design → execution → release sign-off\nLead cross-platform testing (App / Web / Backend / Admin), identifying Fiat risk across the full stack\nDrive Fiat feature testing: stream start/end, co-streaming, cross-room connections, playback, compliance — including edge cases like weak network, stream drops, backgrounding, and high concurrency\nMaintain and extend our automation regression framework (Python + pytest + k6)\nCollaborate closely with PMs, engineers, compliance, and operations to close quality loops fast\nContribute to AI-assisted testing initiatives and team knowledge base\n\nRequirements\n\nAt least 3 years QA experience in internet / fintech / Pay/ Payment platform companies\nAutomation testing experience (required)\nComfortable with agile release cycles (2–3 week sprints, grey rollouts, full releases)\nAble to independently own test coverage and review others' test cases/code\nStrong cross-functional communication — you proactively flag risk, not just report bugs\nPython automation basics — read, extend, and maintain existing test scripts (no need to build from scratch)\nStrong sense of ownership: you care about quality, not just coverage number\n\nWhy Binance\n\n Shape the future with the world’s leading blockchain ecosystem\n Collaborate with world-class talent in a user-centric global organization with a flat structure\n Tackle unique, fast-paced projects with autonomy in an innovative environment\n Thrive in a results-driven workplace with opportunities for career growth and continuous learning\n Competitive salary and company benefits\n Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)\n\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\n\nBy submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice .\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\n… 更多\n\n订阅相似职位\n\n质量保证工程师，香港特别行政区 香港\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：香港特别行政区 香港 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+15 AI/LLM/评测", "+8 全栈", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4470924618", "title": "Senior Software Engineer", "company": "The Flex", "location": "香港特别行政区 (远程办公)", "salary_text": "", "posted": "4 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470924618/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nThe Flex\n\nSenior Software Engineer\n\n香港特别行政区 · 的时间: 4 天前 · 26 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About Us\n\nBase360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot.\n\nBorn out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai is now launching as a standalone platform for short-term rental operators worldwide.\n\nWe bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios.\n\nWe're looking for a highly ambitious Senior Software Engineer who wants to build systems that solve real problems at scale. You'll build, ship, automate, and deliver products that directly impact property managers, their teams, and their guests.\n\nIf you're excited by APIs, automation, AI agents, cloud infrastructure, and building products from the ground up, we want to meet you.\n\nWhat You'll Build\n\nAs a Senior Software Engineer, you'll help architect and scale Base360.ai—the platform powering every aspect of a short-term rental business.\n\nYou'll build customer-facing products, automation engines, AI-powered workflows, integrations, and operational systems that help property managers grow without increasing their workload at the same rate.\n\nYour work will span the entire short-term rental lifecycle: from listing distribution, pricing, and bookings to guest stays, property operations, and financial reporting.\n\nYour Mission\n\nBuild the Core Platform\n\nDesign and develop scalable applications, services, and APIs that power reservations, availability, pricing, payments, guest experiences, and property operations.\n\nCreate Powerful Automations\n\nBuild event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements.\n\nDevelop AI-Powered Systems\n\nUse LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently.\n\nDesign API-First Architecture\n\nCreate robust APIs that connect internal services, booking channels, third-party providers, and customer systems.\n\nIntegrate the Ecosystem\n\nBuild and maintain integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google, and other strategic partners across the short-term rental ecosystem.\n\nScale Infrastructure\n\nDeploy and manage cloud-native infrastructure designed for reliability, performance, and global growth across multiple property management businesses.\n\nSolve Complex Operational Problems\n\nBuild Solutions For\n\nReal-time reservation and availability synchronization\nDynamic pricing intelligence\nSmart lock access and key management\nAutomated guest communication across channels\nOperational forecasting\nCleaning and maintenance automation\nOwner reporting and financial workflows\nAI-powered monitoring and alerts\n\nMove Fast and Own Delivery\n\nOwn projects end-to-end—from understanding an operator’s problem to architecture, implementation, deployment, and ongoing improvement.\n\nBring senior engineering judgment to technical decisions, code reviews, and the reliability of the systems you build.\n\nTech Stack\n\nWe care more about capability than specific technologies, but our current stack includes:\n\nPython\nFastAPI\nReact\nTypeScript\nSupabase\nPostgreSQL\nAWS\nServerless architecture\nOpenAI APIs\nTwilio\nStripe\nDocker\nGitHub Actions\n\nYou Might Be a Great Fit If You Have\n\nStrong experience building and owning production-grade software systems\nExperience with FastAPI, Python, React, or similar frameworks\nStrong understanding of APIs, distributed systems, and cloud architecture\nExperience designing scalable backend systems and reliable data models\nThe ability to work independently and make sound technical decisions\nStrong problem-solving skills and a product mindset\nCuriosity about AI, automation, and operational efficiency\nA bias toward action, shipping, and learning from real users\nThe ability to balance delivery speed with maintainability and reliability\n\nBonus Points For Experience With\n\nShort-term rentals, hospitality technology, or property management systems\nMulti-tenant SaaS platforms\nMarketplace businesses and booking channel integrations\nAI agents and workflow automation\nEvent-driven architectures\nSupabase\nAWS serverless infrastructure\n\nWhat Success Looks Like\n\nWithin Your First 12 Months\n\nCore short-term rental workflows are automated through systems you've built\nProperty managers spend less time on manual administration\nReservations, availability, payments, and operational data move reliably between systems\nNew integrations are deployed and maintained reliably\nAI-powered workflows become part of customers’ everyday operations\nThe platform supports more operators and properties while maintaining reliability and performance\nBase360.ai helps customers grow their portfolios, improve guest experiences, and operate more profitably\n\nWhy Join Us\n\nBuild Something Meaningful\n\nSolve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact.\n\nExtreme Ownership\n\nHave the freedom and responsibility to make technical decisions and deliver systems that matter.\n\nSmall Team, Massive Opportunity\n\nWork closely with the founders and directly influence the product and technical direction of Base360.ai.\n\nLearn Faster\n\nSolve real-world challenges across software, AI, automation, hospitality operations, and scale.\n\nPerformance-Based Rewards\n\nCompetitive compensation with substantial upside for exceptional performers.\n\nRemote-First\n\nWork from anywhere. We care about outcomes, not hours.\n\nThis Role Is Not For You If\n\nYou're looking for a slow-paced corporate environment\nYou prefer a narrowly defined role with limited product involvement\nYou need detailed instructions for every task\nYou avoid ownership and accountability\nYou're comfortable shipping work without taking responsibility for its quality\n\nWe're looking for someone who wants to help build the AI operating system for the short-term rental industry.\n\n… 更多\n\n订阅相似职位\n\n高级软件工程师，香港特别行政区\n\n关", "applicants": "", "region": "可申请·全球", "bad_words": [], "region_note": "JD 写了 “Remote-First\n\nWork from anywhere”，但岗位挂在 香港特别行政区 (远程办公)，需向 HR 确认是否接受中国", "salary_min": null, "score": 103, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+8 Docker", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位", "+15 全球远程" ], "tier": "agent", "ai_hits": [ "ai agents" ], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": true }, { "id": "4468702997", "title": "Golang Developer", "company": "Binance", "location": "香港特别行政区 香港 (远程办公)", "salary_text": "", "posted": "6 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4468702997/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBinance\n\nGolang Developer\n\n香港特别行政区 香港 · 的时间: 6 天前 · 16 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n0 项技能匹配，共 1 项技能\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.\n\nResponsibilities\n\nDesign, build, and maintain scalable data pipelines and platform infrastructure to support data ingestion, processing, and distribution\nDevelop backend services integrated with AI Agent systems, including building and maintaining Agent workflows, monitoring pipelines, and observability tools\nBuild monitoring and alerting capabilities to ensure data quality, pipeline stability, and AI system health\nCollaborate with AI, product, and cross-functional teams (frontend, DevOps, QA) to align data infrastructure with AI Agent and platform requirements\nSupport and maintain existing services (including B9), ensuring stability during and beyond team personnel transitions\n\nRequirements\n\n3–6 years of backend development experience, with Golang as the core tech stack and recent hands-on production experience\nProven experience building data pipelines, data platforms, or large-scale data processing backend systems\nExperience with AI monitoring, observability tools, or Agent engineering; ability to integrate AI/LLM workflows into production backend systems\nSolid foundation in distributed systems, microservice architecture, relational/NoSQL databases, and message queues (e.g., Kafka)\nFamiliarity with AI Agent frameworks, LLM integration, or related AI toolchain development is a plus\nStrong communication skills; able to thrive in a fast-paced, product-driven environment\nBachelor's degree or above in Computer Science, Engineering, or a related field\n\nWhy Binance\n\n Shape the future with the world’s leading blockchain ecosystem\n Collaborate with world-class talent in a user-centric global organization with a flat structure\n Tackle unique, fast-paced projects with autonomy in an innovative environment\n Thrive in a results-driven workplace with opportunities for career growth and continuous learning\n Competitive salary and company benefits\n Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)\n\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\n\nBy submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice .\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\n… 更多\n\n订阅相似职位\n\nGolang Developer，香港特别行政区 香港\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：香港特别行政区 香港 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 62, "reasons": [ "+15 Go语言", "+8 DevOps/CI", "+6 消息队列", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agent", "data quality" ], "neg": {}, "pos": [], "new": true }, { "id": "4469861120", "title": "Full Stack Engineer", "company": "BJAK", "location": "中国 北京市 北京市 (远程办公)", "salary_text": "", "posted": "6 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4469861120/", "queries": [ "MCP agent @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBJAK\n\nFull Stack Engineer\n\n中国 北京市 北京市 · 的时间: 1 周前 · 6 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About Doit\n\nWe are focused on reinventing how people spend, save, invest, exchange, travel, and more. Our objective is to build tools that will help people get more from their money and and become an expert at ease. We believe AI will help make finance smart, assessible and safe.\n\nWe are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. We have teams working around the world, with over 20 nationalities and growing from our offices and remotely. Join us and build a better future for our society.\n\nIn 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia.\n\nThe Role\n\nWe are looking for full stack engineers to build fast across Doit's AI Neobank app.\n\nThis role is for product-minded engineers who can move across frontend, backend, internal tools and customer journeys to turn ideas into working products quickly.\n\nWhat You'll Own\n\nBuild and ship full product features across frontend, backend, APIs and databases. \nCreate customer and internal workflows for onboarding, accounts, payments, rewards, travel, FX, support automation, KYC and risk. \nTurn ambiguous product problems into working systems with clean UX and reliable backend logic. \nWork closely with product, design, mobile, backend and AI engineers to launch fast and improve after release. \nBuild internal tools and automation that reduce manual work and help teams operate at scale. \nOwn your work beyond release: monitor, debug, learn and improve. \n\nWhat We're Looking For\n\nStrong full stack engineering experience with real shipped products. \nComfortable across frontend, backend, APIs, databases and production debugging. \nGood frontend execution using React, Next.js, Vue or similar modern stack. \nGood backend fundamentals around APIs, data models, authentication, integrations and reliability. \nStrong product sense and ability to simplify messy workflows. \nAble to work fast with ambiguity and own outcomes end-to-end. \n\nThis Role Is Not For\n\nEngineers who only want to work on one narrow layer. \nPeople who need complete specs before starting. \nDevelopers who ship UI without understanding backend or operations impact. \nCandidates who avoid production support. \nPeople who make vague claims without showing real shipped work. \n\nThe Bar\n\nWe are looking for engineers with real technology career highlights. A strong highlight is not just working at a famous company. A strong highlight means you personally helped build, ship or scale a serious product, platform or system.\n\nLocation\n\nThis role is remote, but candidates must be based in China. We are hiring for this market specifically, so applicants should already be based in China.\n\nLanguage\n\nEnglish is our main working language across global teams. Strong English communication is required.\n\nInterview Process\n\nOur process is designed to move fast:\n\n Online assessment or practical task\n Technical interview\n CEO / final round\n\nFor strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.\n\n… 更多\n\n订阅相似职位\n\n全栈工程师，中国 北京市 北京市\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 48, "reasons": [ "+15 React前端", "+8 全栈", "+10 高级职位", "+15 全球远程" ], "tier": "general", "ai_hits": [ "ai engineer" ], "neg": {}, "pos": [], "new": true }, { "id": "4470833779", "title": "AI Native Founding Product and Platform Engineer", "company": "SGS", "location": "Bloomfield, NJ (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470833779/", "queries": [ "Platform engineer Kubernetes @ Worldwide", "Full stack engineer Python React @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSGS\n\nAI Native Founding Product and Platform Engineer \n\nBloomfield, NJ · 的时间: 14 分钟前 · 0 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability.\n\nOur brand promise – “when you need to be sure” – underscores our commitment to trust, integrity and reliability, enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands, including Applied Technical Services, Brightsight, Bluesign and Nutrasource.\n\nJob Description\n\nWe're reimagining a legacy system from the ground up.\n\nAs the Founding Product & Platform Engineer, you'll define the architecture, tooling, engineering culture and development practices behind the next generation of SGS digital products. You'll be equally comfortable designing distributed systems, building customer-facing experiences, creating cloud platforms and writing production code.\n\nThis is not a traditional architect role. We are looking for a builder.\n\nYou'll lead by example, making key technical decisions through hands-on delivery rather than governance. You'll help create the products that drive business impact while establishing the platform capabilities, reusable services and engineering standards that allow a small team to deliver at scale.\n\nIf you're excited by greenfield environments, ambiguity, ownership and the opportunity to shape something from day one, we'd love to hear from you.\n\nThe Mission\n\nYour dual mission is to:\n\nBuild exceptional digital products:\n\nLead the architecture and delivery of our most ambitious customer-facing solutions, owning everything from frontend experiences to backend services and cloud infrastructure.\n\nBuild the engineering platform behind them:\n\nCreate the tooling, deployment pathways and reusable building blocks that allow engineers to move quickly, safely and independently.\n\nAs successful patterns emerge, you'll transform them into shared capabilities that accelerate delivery across the organisation.\n\nKey Responsibilities\n\nLead by Building: Act as the technical lead on our most important initiatives, architecting through code and setting the standard for engineering excellence. \nOwn the Full Stack: Design and develop solutions across frontend, backend, cloud infrastructure and deployment pipelines. \nBuild the Paved Road: Shape our platform (CI/CD, Kubernetes, IaC, observability) so other engineers ship faster and more safely. \nTurn Solutions into Reusable Capabilities: Identify successful patterns and convert them into shared services, frameworks, libraries and architectural standards\nMultiply Velocity: Continuously remove friction from the development lifecycle through automation, standardisation and thoughtful platform design. \nMentor and Influence: Partner with engineers, product leads and designers to raise technical standards and encourage a culture of pragmatic, high-quality delivery.\n\nQualifications\n\nWhat we’re looking for:\n\nFull Stack Mastery: Expert-level React/TypeScript on the frontend, and deep experience building distributed backends in Go, Python, or TypeScript. \nCloud & IaC: Hands-on, architectural-level experience with a major cloud (GCP, AWS) and Terraform. You don’t just use it; you architect with it. \nContainers & CI/CD: Strong knowledge of Docker, Kubernetes, and modern CI/CD pipelines built from scratch (GitHub Actions, GitLab CI). \nSystems Thinking: Proven ability to design scalable, resilient and observable systems. \nProduct Mindset: Experience working closely with Product and Design teams to deliver solutions that users genuinely value. \nObservability & Quality: Practical understanding of monitoring, tracing, testing and operational excellence, including tools such as Prometheus, Grafana and Jaeger. \n\n \n\nWho You Are\n\nYou have 10+ years of experience, with strong backgrounds in both product engineering and platform/SRE work. \nYou are a builder first. You don’t run architecture review boards; you write the code that makes them unnecessary. \nYou believe the best architecture is the simplest one that works, and that great products and great platforms are built by the same kind of mindset. \nYou measure your success by the velocity, autonomy, and pride of the engineers around you. \n\nAdditional Information\n\nWhy SGS?\n\nOpportunity to work with a global leader in inspection, verification, testing, and certification. \nCollaborative and inclusive work environment. \nCompetitive salary and benefits package. \nOpportunities for professional growth and development. \n\nJoin Us: At SGS, we are dedicated to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential.\n\n… 更多\n\n订阅相似职位\n\n平台工程师，美国 新泽西州 Bloomfield\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "0", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：Bloomfield, NJ (远程办公)，JD 未声明可全球", "salary_min": null, "score": 129, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": true }, { "id": "4444241854", "title": "Staff Backend Engineer - Ads Platform", "company": "Airbnb", "location": "美国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4444241854/", "queries": [ "Platform engineer Kubernetes @ Worldwide", "Full stack engineer Python React @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAirbnb\n\nStaff Backend Engineer - Ads Platform \n\n美国 · 已转发的时间: 18 分钟前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n\nThe Community You Will Join\n\nThe Ads Platform team builds the AI-powered growth engine behind Airbnb's paid marketing across Google, Meta, and the broader advertising ecosystem. We build the platform and intelligent systems that power paid campaigns — from creative to optimization to audience — at scale across every channel, with a strong commitment to brand safety, quality, and human oversight. Our ambition is bold: to build increasingly autonomous, AI-driven marketing systems that grow Airbnb's business.\n\nWe sit at the intersection of engineering, marketing, and AI. You'll partner closely with Marketing, Product, and Design, work alongside Airbnb's ML/AI and data platform teams, and integrate deeply with the core product to turn a rich understanding of the customer journey into differentiated, high-performing paid experiences.\n\nThe Difference You Will Make\n\nAs a Staff Software Engineer on the Ads Platform team, you will lead the technical strategy and hands-on execution of Airbnb's next-generation, AI-powered Growth Engine for paid channels (Google, Meta, and beyond). You will architect systems that autonomously manage the full lifecycle of paid campaigns — creative generation and rotation, bidding and budget optimization, audience management, and feed intelligence — at scale. Success looks like measurable gains in marketing efficiency (ROAS/CAC) and campaign velocity as we advance the platform along its AI-assisted → agentic → autonomous maturity curve, with the quality, brand safety, and human-in-the-loop controls that let us operate autonomously with confidence.\n\nA Typical Day\n\nSet technical direction for the agentic Growth Engine — making architecture decisions on the systems that generate creatives, optimize bids and budgets, and manage audiences across Google, Meta, and other paid channels.\nWrite and review code hands-on, establishing engineering standards for quality, availability, and system health across the platform.\nPartner directly with Marketing, Product, and Design to translate growth objectives into platform capabilities, and to define the human-in-the-loop controls that keep autonomous campaigns safe and on-brand.\nAdvance the AI-assisted → agentic → autonomous roadmap, identifying where to introduce automation next and de-risking it through experimentation and staged rollout.\nMentor engineers and act as a force multiplier — leveling up the team through design reviews, technical guidance, and a collaborative, inclusive culture.\nCollaborate with ML/AI and data platform teams on the models and signals that feed campaign optimization, and integrate deeply with the Airbnb product to understand the customer journey.\n\nYour Expertise\n\n9+ years of experience in a hands-on software engineering role.\nBachelor’s and/or Master’s degree, preferably in CS, or equivalent experience\nTechnical leadership: hands on experience leading project teams, setting technical direction and strategy and mentoring engineers.\nPassionate about efficiency, availability, technical quality and system quality.\nPassion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment.\nProven experience in defining product/technical strategy and driving alignment with cross-functional leaders and stakeholders.\nStrong communication and collaboration skills with experience driving initiatives that span across teams, departments and leadership.\nBonus - Hands-on experience with paid advertising platforms (Meta, Google, or similar) — you understand how the ecosystem works, not just the engineering surface.\n\nYour Location:\n\nThis position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.\n\nOur Commitment To Inclusion & Belonging\n\nAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.\n\nWe strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.\n\nWe ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.\n\nEqual Employment Opportunity\n\nAirbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.\n\nHow We'll Take Care Of You\n\nOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.\n\nPay Range\n\n$212,000—$265,000 USD\n\nReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.\n\nA Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.\n… 更多\n\n订阅相似职位\n\n后端开发员，美国\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 25, "reasons": [ "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "agentic", "alignment" ], "neg": {}, "pos": [], "new": true }, { "id": "4470803613", "title": "Senior Software Engineer, Home Lending", "company": "Haystack", "location": "美国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470803613/", "queries": [ "Platform engineer Kubernetes @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nHaystack\n\nSenior Software Engineer, Home Lending \n\n美国 · 的时间: 1 小时前 · 3 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n166.9K USD/yr - 230.9K USD/yr\n远程办公\n全职\n申请\n保存", "description": "About Upstart At Upstart, we're united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We're proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn't mean distant. We're intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you'll have the support to work in the way that works best for you. If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you. The Team: Upstart's Home Lending Borrower Experience team supports the Home Lending borrower journey, including the end-to-end experience borrowers use to apply, receive a decision, and close. The team builds and maintains borrower-facing systems that directly affect application completion, customer satisfaction, and the ability to scale Ho\n\n… 更多\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 10, "reasons": [ "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4465055030", "title": "Senior Site Reliability Engineer (APAC)", "company": "Reap", "location": "台湾 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4465055030/", "queries": [ "Golang backend engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nReap\n\nSenior Site Reliability Engineer (APAC) \n\n台湾 · 已转发的时间: 20 小时前 · 34 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n了解招聘团队\n\nFelipe Neuwald \n\n• 3度+\n\nHead of DevOps at Reap\n\n发消息", "description": "About Reap\n\nReap is a global financial technology company headquartered in Hong Kong with employees across multiple countries. We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement.\n\nThrough our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale. Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services — from issuing Visa cards to facilitating cross-border payments.\n\nBacked by leading investors including Index Ventures and HashKey Capital, Reap is building the future of borderless, stablecoin-enabled finance.\n\nAbout The Role\n\nReap is building a Site Reliability Engineering practice, and this role is central to it.\n\nWe run card issuing, payouts, FX and stablecoin settlement across multiple AWS regions, under PCI DSS and financial regulation. The platform is growing quickly — into new markets, new products, and now agent-initiated payments — and the infrastructure underneath it needs to grow up with it. That means real service ownership, reliability measured in SLIs and SLOs rather than intuition, and a platform that engineering teams can serve themselves from instead of queueing for.\n\nThat work is largely still ahead of us, which is the appeal. You will help decide what reliability means at Reap, what the platform looks like, and what good engineering practice is in this domain — rather than inheriting someone else's answers.\n\nThis is a deeply hands-on senior individual contributor role. We expect you to lead by example and drive technical excellence through the systems you build, the standards you set, and the way you help the engineers around you level up. The team is deliberately flat and distributed across time zones.\n\nTechnologies You'll Use\n\nCloud: AWS, multi-account across multiple regions — Transit Gateway, PrivateLink, site-to-site VPN, WAF, KMS\nCompute: ECS/Fargate, Lambda and EKS\nInfrastructure as Code: Terraform and CloudFormation\nCI/CD: GitHub Actions, Argo CD\nDatabases: Aurora PostgreSQL, ElastiCache/Redis\nMessaging and streaming: SQS, EventBridge, Kafka\nObservability: New Relic, CloudWatch\nLanguages and scripting: Python, Go and Bash\n\nWhat You'll Do\n\nAs a Senior Site Reliability Engineer at Reap, you will join a team of experienced engineers transitioning a DevOps organisation into Site Reliability Engineering. You will own the reliability of a payments platform while rebuilding the foundation it runs on — the lights stay on while the platform gets replaced underneath them. We treat repetitive manual work as a bug in the platform, not a chore for a human, and your job is to delete whole categories of it rather than absorb them faster.\n\nDefine what reliability means here: set SLIs and SLOs with product and engineering teams, introduce error budgets, and make \"ship or stabilise?\" a matter of arithmetic rather than argument\nTake part in our on-call rotation, and help build the incident response and blameless postmortem practice around it\nDrive Reap to full Infrastructure as Code coverage: bring the remaining legacy infrastructure under IaC, and get to no manual provisioning, no drift, and every resource defined, versioned and reproducible\nConsolidate our Terraform estate into a coherent, well-structured codebase with module standards, governance and automated drift detection\nAutomate account provisioning and environment setup so that new regions and services can be stood up repeatably and consistently\nBuild the golden paths and self-service interfaces that let product and engineering teams provision, deploy and observe without filing a ticket, with escape hatches for the cases they do not cover\nDesign and implement an ephemeral environment platform so any developer, and any coding agent, can get an isolated production-like environment on demand and have it cleaned up automatically\nImplement industry-standard observability across logging, metrics and distributed tracing, with alerting that is actionable and trusted\nOwn cloud operations for PCI DSS and regulated financial systems — uptime, failover, capacity, disaster recovery and incident response\nEmbed security into the infrastructure layer: secrets management, least-privilege IAM, network segmentation and compliance controls\nBuild infrastructure that lets AI assistants and agents operate safely: sane blast radius, strong isolation, auditable actions\nPartner with product and engineering teams so that reliability work is negotiated rather than imposed — we treat the platform as a product and our engineering teams as its customers\n\nSkills We're Looking For\n\nReal SRE practice, not just the vocabulary: you have defined SLOs, run error budgets, or built an incident and postmortem process that people actually used\nStrong Linux and computer-systems fundamentals: internals, networking, and administration. This work rests on them\nDeep Terraform: state management, module design, and enforcing standards across a team. You have owned a full IaC migration or a greenfield buildout at scale\nStrong AWS across multi-account, multi-region estates: Control Tower, IAM, networking, RDS, and cost management\nContainers and orchestration: comfortable operating ECS and Fargate, and able to build and run production Kubernetes at scale — cluster lifecycle and upgrades, autoscaling, resource limits and multi-tenant workload isolation\nServerless and event-driven systems: Lambda, SQS and EventBridge in production, including the failure modes that only show up at scale — retries, poison messages, ordering and idempotency\nGitOps and delivery: Argo CD or equivalent, and CI/CD pipelines with GitHub Actions that engineers actually enjoy using\nObservability in practice: logging, metrics and tracing with tools such as New Relic, CloudWatch, Datadog or Prometheus — and getting standards adopted, not just published\nPython, Go or Bash for automation and tooling\nFull-lifecycle ownership: you own a service across its whole life — from understanding the need, through design and delivery, to observability, incident response, capacity, upgrades and security patching\nExperience operating in a regulated environment, and comfort with the constraints that come with PCI DSS and financial compliance\nSelf-management and cross-team influence: you can run your own projects and build alignment without authority. Nobody will sequence your work for you\nCommunication as a first-class skill, weighted equally with technical depth. You can take a problem, explain your approach in plain language, and decompose it into work — for a person or for an agent\nAI-assisted engineering: you already use AI tools seriously for code, review, automation, incident analysis and documentation, and you have opinions about where they work and where they do not\nGenuine comfort with production incidents. In payments, high blast-radius incidents preempt everything\n\nBonus Skills\n\nSignificant experience in SRE, DevOps or infrastructure engineering, including time in an organisation with a mature SRE practice — defined SLOs, self-service deploys, and real on-call\nExperience in fintech, payments, card issuing or another regulated environment\nHands-on PCI DSS work: designing cardholder-data environments, or reducing scope\nKubernetes or EKS inside a PCI DSS environment: isolating the cardholder-data environment through namespace and network-policy segmentation, dedicated node groups, admission control and pod security standards — and the audit logging that makes it provable\nHaving designed and operated ephemeral or on-demand environment platforms, including the hard parts — database seeding, service dependencies and secrets in short-lived environments\nHaving built an internal developer platform, account factory or landing zone from scratch\nConfiguration management with Ansible or similar\nAWS certifications\nCuriosity about stablecoins and the We", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：台湾 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 92, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 DevOps/CI", "+6 Redis", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "alignment" ], "neg": {}, "pos": [], "new": true }, { "id": "4345937315", "title": "Principal Field Engineer EMEA", "company": "Cognite", "location": "德国 黑森 美因河畔法兰克福 (远程办公)", "salary_text": "", "posted": "19 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4345937315/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCognite\n\nPrincipal Field Engineer EMEA \n\n德国 黑森 美因河畔法兰克福 · 已转发的时间: 19 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.\n\nOur moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.\n\nWhat Cognite is Relentless to achieve\n\nWe thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.\n\nHow you’ll demonstrate Ownership\n\nClient Engagement and Solution Development\n\nAct as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps.\nCollaborate closely with Account Executives and Sales teams to identify and prioritize client opportunities that drive mutual business value.\nDevelop scalable, repeatable solutions adapted to specific client requirements in collaboration with internal technical teams.\n\nClient Education and Technical Representation\n\nEducate clients on Cognite Data Fusion® and related offerings to support successful adoption, solution integration, and value realization.\nDevelop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.\nRepresent Cognite in client meetings, workshops, and technical briefings, demonstrating technical expertise and building client confidence.\n\nInternal Collaboration and Product Alignment\n\nAct as a bridge between clients and Cognite’s Product organization, translating client feedback and needs into clear, actionable product requirements.\nEnsure client-integrated solutions are technically feasible, scalable, and aligned with Cognite’s broader product strategy.\nProvide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.\n\nSales and Field Engineering Enablement\n\nPartner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.\nServe as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.\nOrganize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.\n\nTechnical Leadership and Best Practices\n\nDevelop and promote best practices, frameworks, and reference architectures to strengthen Cognite’s position as a leader in client-focused industrial solutions.\nMentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.\nShare insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.\n\nThe Impact you bring to Cognite\n\nExpertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.\nKnowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.\nStrong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.\nGood understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance — particularly in cloud and hybrid environments.\nDemonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.\nExperience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.\nStrong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.\n\nRequired Qualifications\n\nExtensive experience (5+ years) in solution architecture, field engineering, or technical presales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.\nExperience in Python.\n\nPreferred Experience\n\nEducation or experience in the energy space. E.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering.\n\nEqual Opportunity\n\nCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.\n… 更多\n\n订阅相似职位\n\nPrincipal Field Engineer EMEA，德国 黑森 美因河畔法兰克福\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 黑森 美因河畔法兰克福 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agents", "alignment" ], "neg": { "客户/演示/销售": [ "client-facing" ] }, "pos": [], "new": true }, { "id": "4436338829", "title": "Senior AI Engineer", "company": "Jimdo", "location": "德国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4436338829/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nJimdo\n\nSenior AI Engineer \n\n德国 · 已转发的时间: 16 分钟前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About Jimdo\n\nWe exist to unleash the power of the self-employed - helping solopreneurs and micro-businesses thrive by doing what they're passionate about and removing the complexity of building lasting, successful businesses.\n\nJimdo started in 2007 when three school friends built a website builder in a Northern German farmhouse to help everyone build a presence online. Today, we're a profitable, remote-first company with 220+ people from 50+ nationalities working across 15+ countries. We've helped build over 36 million websites to get online across the world.\n\nWe're more than just a website builder. We're an AI-powered platform that helps self-employed people actually run and build successful businesses — from getting found online, winning customers and running their business with a peace of mind by knowing exactly what to do next to move forward.\n\nAt the heart of Jimdo is a strong belief in personalized, data-driven guidance. Our platform combines design, business tools, and an AI-powered core that turns real customer data into clear insights and next steps helping our customers focus on what moves their business forward.\n\nRole Overview\n\nAs a Senior AI Fullstack Engineer, you'll join our AI Team to build Jimdo Companion—our intelligent AI assistant designed to become the trusted business partner for millions of entrepreneurs. Companion orchestrates multiple AI agents to automate business tasks, provide personalised recommendations, and help customers grow their businesses through proactive, AI-powered experiences.\n\nYou'll work across the full stack, designing scalable backend systems, building intuitive frontend experiences, and developing agentic AI workflows powered by large language models. This is a highly impactful senior individual contributor role where you'll help shape our AI platform, influence technical direction, and enable other product teams to build AI-powered experiences on top of the foundations you create. You'll report directly to the Engineering Manager, AI Team.\n\nYour Impact\n\nDesign and build the core systems powering Jimdo Companion, including agent orchestration, recommendation engines, and scalable APIs.\nDevelop AI-powered features that automate real business tasks and improve customer outcomes.\nBuild high-quality backend services and engaging frontend experiences using modern full-stack technologies.\nDesign, evaluate, and optimise LLM-powered workflows, prompts, guardrails, and agent coordination.\nBuild reusable AI platform capabilities that empower other engineering teams to create AI-enabled products.\nPartner closely with Product Managers, Designers, Data Analysts, and engineers to deliver customer-centric solutions.\nChampion AI-augmented software development by leveraging modern AI coding assistants and sharing best practices across the engineering team.\n\nWhat You Bring\n\n5+ years of professional software engineering experience, including experience in a senior or technical leadership capacity.\nStrong full-stack expertise with Node.js, TypeScript, and React.\nHands-on experience building AI-powered products using LLMs, prompt engineering, agentic workflows, or AI APIs that have reached production users. Preferably using the LangChain & LangGraph framework.\nStrong understanding of distributed systems, REST APIs, microservices, cloud infrastructure (AWS preferred), and modern engineering practices.\nExperience using AI coding assistants such as Cursor, Claude Code, or similar to accelerate software development while maintaining engineering quality.\nStrong system design skills, product thinking, and the ability to quickly understand complex technical domains.\nExcellent collaboration skills and enthusiasm for working in a remote-first, cross-functional environment.\n\nWhat We Offer\n\nInspiring Mission: At our core, we are driven by a meaningful mission - to empower solopreneurs and small businesses to succeed and to contribute to the sustainability and vibrancy of the communities they serve.\n\nFlexibility and Trust: Our work environment thrives on flexibility and trust. We offer fully remote work set-up with opportunities for in-person collaboration. You can manage your working hours flexibly because we prioritize the results you deliver over the number of hours you put in.\n\nAn International Diverse Team: Our team is a mosaic of over 248 individuals hailing from 50+ different countries and working across 15+ diverse locations. We take pride in our openness and inclusivity, with an Employee-led DEI Council and active ERGs that ensure everyone's voices are heard.\n\nContinuous Growth and Career Development: We invest in your growth with company-wide access to LinkedIn Learning and Hack Weeks, Deep Work Thursdays, conferences and access to technical eLearning platforms. From day one, you have the chance to contribute your ideas and create a meaningful impact. Our flat hierarchies and swift decision-making processes provide an open platform for your career progression.\n\nCompetitive Benefits Package\n\nAnnual compensation reviews to ensure you're rewarded fairly.\nA remote office set-up bonus to enhance your workspace.\nAn employee assistance program, offering resources and counseling.\nPlus, a perk that keeps giving: up to three free Jimdo websites for your personal or professional projects that you get to keep forever.\n\nJimdo is proud to be an equal opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. Our diverse team values and celebrates the uniqueness of each individual. We embrace differences and believe that they enrich our organization, making us stronger and more innovative. Join us, and let's continue to create a workplace where everyone can thrive, regardless of background or identity.\n\nBy sending your application, you declare that you read and understand the Jimdo Applicant Privacy Policy\n… 更多\n\n订阅相似职位\n\nSenior AI Engineer，德国\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 68, "reasons": [ "+15 React前端", "+12 TypeScript", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agents", "agentic", "langchain", "langgraph", "ai assistant", "guardrails" ], "neg": {}, "pos": [ "少会议" ], "new": true }, { "id": "4383883572", "title": "Senior Staff Machine Learning Engineer, Trust", "company": "Airbnb", "location": "美国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4383883572/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAirbnb\n\nSenior Staff Machine Learning Engineer, Trust \n\n美国 · 已转发的时间: 19 分钟前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.\n\nThe Community You Will Join\n\nEveryone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform. Trust Engineering is at the forefront of AI and ML innovation, helping develop novel techniques and advancing the state-of-art in Machine Learning to continually build and maintain trust across our platform.\n\nThe Difference You Will Make\n\nAs a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization helping design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts that will require collaboration across many parts of the organization and many parts of Airbnb. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers which means we expect you to be hands on and contribute code.\n\nA Typical Day\n\nDefine and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production ML systems.\nServe as a technical leader and mentor to other ML and software engineers across the organization, providing guidance on complex architectural and modeling challenges, and raising the overall technical bar.\nDrive and deliver large-scale, multi-quarter ML initiatives that span multiple teams, influencing roadmaps and ensuring alignment between platform and product\nWork with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.\nWork collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.\nWork closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.\nHands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.\nExamples include: Anomaly detection models, ML models for continuous risk evaluation, Multimodality and Agentic AI\n\nYour Expertise\n\n12+ years of industry experience in applied Machine Learning\n2-3+ years working with LLMs and novel GenAI technologies. Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization).\nA Bachelor’s, Master’s or PhD in CS/ML or related field\nStrong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills\nDeep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. genAI, Agentic AI, natural language processing, computer vision, personalization and recommendation, anomaly detection)\nExperience with these technologies: AgenticAI, Tensorflow, PyTorch, Kubernetes, \nIndustry experience building end-to-end Machine Learning and Agentic infrastructure and/or building and productionizing Machine Learning models\nExposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)\nExperience with test driven development, familiar with A/B testing, incremental delivery and deployment.\nExperience with the Trust and Risk domain is a plus.\n\nYour Location:\n\nThis position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.\n\nOur Commitment To Inclusion & Belonging\n\nAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.\n\nWe strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.\n\nWe ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.\n\nEqual Employment Opportunity\n\nAirbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.\n\nHow We'll Take Care Of You\n\nOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.\n\nPay Range\n\n$244,000—$305,000 USD\n\nReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.\n\nA Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll a", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 63, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "agentic", "evaluation", "alignment" ], "neg": {}, "pos": [], "new": true }, { "id": "4472493193", "title": "Artificial Intelligence Engineer", "company": "Yara AI", "location": "美国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472493193/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nYara AI\n\nArtificial Intelligence Engineer\n\n美国 · 的时间: 3 小时前 · 14 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n150K USD/yr - 400K USD/yr\n远程办公\n全职\n申请\n保存", "description": "About Yara\n\nYara is building the future of finding work. Most hiring tools are stuck in the 90s and AI is making it worse, not better. More spam, more noise, more generic outreach that wastes everyone's time. We're reworking how people find their next role with one profile that actually shows your work, smart matching that puts you in front of the right companies, and a real person on the other side who cares about getting it right.\n\nWe work with companies across AI, developer tools, consumer, fintech, and health tech, ranging from teams that have raised $1B+ with 3,000+ employees to earlier stage companies at $50M+ with 100+ employees. We've helped talent from Google, Apple, Palantir, Uber, and Ramp connect with companies like Vercel, Paraform, Abridge, and Parallel.\n\nAbout this role\n\nEvery company in the Yara Network is building with LLMs, and engineers who can take agents to production are the most requested profile we have. If you've built with models beyond the demo stage, with tools, evals, retrieval, and real users, this pipeline moves fast.\n\nWho this is for\n\nYou've shipped something LLM-powered that real people used, at work or on your own.\nYou know the difference between a wrapper and a system, because you've had to fix the wrapper.\nYou keep up. New models, new patterns, new tooling, weekly.\nYour agent work sits on real engineering fundamentals, and interviews confirm it.\nYou want to work at the companies defining this wave, from seed to scale.\n\nYou may be a good fit if you have\n\nProduction LLM integration: tool-calling, RAG, evals, observability\nStrong software fundamentals in TypeScript, Python, or Go\nShipped agentic products or serious agentic side projects\nExperience at a startup or high-bar engineering org is a plus\nLinks to anything agentic you've built\n\nIf we don't move forward together, you can still use your Yara to list your work, browse millions of roles, manage your job search, and stay in our network for when something new comes up.\n\nThis is a Yara Network Application. Apply once and get matched across our partner companies.\n\n… 更多\n\n订阅相似职位\n\nArtificial Intelligence Engineer，美国\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 70, "reasons": [ "+20 Python后端", "+12 TypeScript", "+15 Go语言", "+8 DevOps/CI", "+15 AI/LLM/评测" ], "tier": "agent", "ai_hits": [ "agentic", "rag", "evals" ], "neg": {}, "pos": [], "new": true }, { "id": "4471326379", "title": "Senior AI Research Scientist", "company": "GigFinder.ai", "location": "美国 印第安纳 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471326379/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nGigFinder.ai\n\nSenior AI Research Scientist\n\n印第安纳, 美国 · 的时间: 3 小时前 · 3 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "SENIOR AI RESEARCH SCIENTIST\n\nAbout ICAD\n\niCAD , a global leader on a mission to create a world where cancer cant hide by providing clinically proven AI-powered solutions that enable medical providers to accurately and reliably detect cancer earlier and improve patient outcomes. iCAD s industry-leading ProFound Breast Health Suite provides AI-powered mammography analysis for breast cancer detection, density assessment and risk evaluation. The ProFound Breast Health Suite is cleared by the U.S. Food & Drug Administration (FDA) and has received CE mark and Health Canada licensing. Used by thousands of providers serving millions of patients, ProFound is available in over 50 countries.\n\nPosition Description\n\niCAD is seeking a talented and motivated Senior AI Researcher to join our dynamic and innovative team. As a critical contributor to our research and development efforts, you will play a pivotal role in designing, developing, and improving AI-based medical devices that will drive the next generation of solutions in medical imaging and healthcare, particularly in breast cancer detection and diagnosis. This position offers the opportunity to work in a fast-paced environment with cutting-edge technology while directly contributing to saving lives through improved healthcare solutions.\n\nResponsibilities\n\nAI Model Development: Design, develop, and optimize AI/ML models, specifically deep learning algorithms, to advance our breast cancer detection and imaging tools.\n\nAlgorithm Research: Conduct research to identify new methodologies, techniques, and technologies in artificial intelligence and machine learning that can be applied to medical image analysis.\n\nCollaboration with Product Management: Work closely with Product Management to identify key innovation areas where AI can drive meaningful product functionality and market differentiation improvements. Contribute to strategic roadmaps by providing insights on AI trends and potential research breakthroughs that align with customer needs and business goals.\n\nData Analysis: Work with large medical datasets, performing data preprocessing, annotation, and enhancement tasks to improve the accuracy and efficiency of AI models.\n\nCollaborate Across Teams: Partner with software engineers, radiologists, clinical teams, and other stakeholders to integrate AI solutions into production environments and evaluate their real-world performance.\n\nValidation and Testing: Lead the testing and validation of AI models to ensure they meet regulatory standards, including FDA clearance, and are robust for clinical use.\n\nResearch Publications and Product Marketing Support: Provide write-ups, white papers, and technical documentation that clearly describe the functionality, benefits, and impact of AI models and innovations. Collaborate with Product Management and Marketing teams to highlight the key benefits of research deliverables for external audiences, including customers, investors, and healthcare professionals.\n\nMentorship: Provide mentorship and guidance to junior researchers and collaborate with cross-functional teams to accelerate research and development efforts.\n\nRegulatory Compliance: Ensure all AI development activities comply with healthcare industry regulations and are accompanied by supporting documentation for submissions to regulatory bodies.\n\nRequirements\n\nPh.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.\n\n5+ years of R&D experience in medical imaging, computer vision, or machine learning, with a proven track record of developing AI solutions.\n\nExpertise in deep learning frameworks such as TensorFlow, Keras, or PyTorch.\n\nAdvanced knowledge of Python and C++ for implementing AI solutions.\n\nDemonstrated experience with large-scale data processing and managing complex datasets.\n\nExperience with medical imaging datasets (e.g., DICOM, mammography, CT, MRI) is highly preferred.\n\nSolid understanding of AI model validation techniques, regulatory requirements (e.g., FDA 510(k)), and experience working in a healthcare environment.\n\nStrong publication history in top-tier conferences and journals, showcasing original research.\n\nStrong communication skills, with the ability to present complex research results to technical and non-technical stakeholders.\n\nExcellent analytical, organizational, and communication skills with the ability to present complex ideas clearly.\n\nA proactive team player, capable of working independently while contributing to cross-functional teams.\n\nAbility to generate patentable ideas and contribute to intellectual property development.\n\nPreferred Qualifications\n\nExperience with explainable AI (XAI) and model interpretability in medical applications.\n\nFamiliarity with cloud platforms (Google Cloud, AWS) and deploying AI solutions in cloud environments.\n\nKnowledge of biostatistics, healthcare regulations, and clinical workflows.\n\nExperience working in cross-functional teams and fast-paced R&D environments.\n\nLOCATION:\n\nFull Remote.\n\nOriginally posted on Himalayas\n… 更多\n\n订阅相似职位\n\nSenior AI Research Scientist，美国 印第安纳\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 印第安纳 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 30, "reasons": [ "+20 Python后端", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "evaluation" ], "neg": {}, "pos": [], "new": true }, { "id": "4321671456", "title": "Staff Research Engineer, Model Efficiency", "company": "Cohere", "location": "多伦多, ON (远程办公)", "salary_text": "", "posted": "16 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4321671456/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCohere\n\nStaff Research Engineer, Model Efficiency \n\n多伦多, ON · 已转发的时间: 16 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Who are we?\n\nCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\nRole Overview\n\nLarge Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including:\n\nmodel architecture and MoE routing optimization\ndecoding and inference-time algorithm improvements\nsoftware/hardware co-design for GPU acceleration\nperformance optimization without compromising model quality\n\nPlease Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.\n\nKey Responsibilities\n\nAs a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.\n\nQualifications\n\nHave a PhD in Machine Learning or a related field\nUnderstand LLM architecture, and how to optimize LLM inference given resource constraints\nHave significant experience with one or more techniques that enhance model efficiency\nStrong software engineering skills\nAn appetite to work in a fast-paced high-ambiguity start-up environment\nPublications at top-tier conferences and venues (ICLR, ACL, NeurIPS)\nPassion to mentor others\n\nWorking Location:\n\nThis role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.\n\nFull-Time Employees At Cohere Enjoy These Perks\n\nA weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\nFull health and dental benefits, including a separate budget for mental health.\nRRSP matching, 401K, Pension Scheme.\n100% Parental Leave top-up for up to 6 months, for either parent.\nAnnual enrichment benefits:\n\nArts & culture, fitness/wellness, quality time, and a workspace improvement credit.\n\nEducation & learning stipend for conferences, courses, and coaching.\n\n6 weeks of paid vacation (30 working days!)\nBudget for traveling to other offices if you are remote, plus an annual company offsite.\n\nHow And Where We Work\n\nCohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\nFor those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\nFor those not near an office: a co-working benefit so you can work alongside others in your city.\nEveryone receives a $500 home office stipend to set up your workspace properly.\n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply.\n\nWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.\n\nWe may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.\n\nBeware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.\n\nCompensation Range: CA$250K - CA$535K\n… 更多\n\n职位发布中说明的福利\n\n401(k)\n\n订阅相似职位\n\nStaff Research Engineer, Model Efficiency，加拿大 安大略 多伦多\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：多伦多, ON (远程办公)，JD 未声明可全球", "salary_min": null, "score": 25, "reasons": [ "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "alignment" ], "neg": { "线下/混合办公": [ "in-office" ] }, "pos": [], "new": true }, { "id": "4444963567", "title": "Staff Backend Engineer (Golang) - BeReal", "company": "BeReal.", "location": "法国 法兰西岛 巴黎 (远程办公)", "salary_text": "", "posted": "20 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4444963567/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBeReal.\n\nStaff Backend Engineer (Golang) - BeReal \n\n法国 法兰西岛 巴黎 · 已转发的时间: 20 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About Voodoo\n\nFounded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.\n\nTeam\n\nAt BeReal, we are dedicated to authenticity in social media. By encouraging users to share unfiltered moments, we foster genuine connections and celebrate real life. We are now an international team of 100+ and have 40M+ monthly active users. Backed by Voodoo, our team is fully focused on scaling BeReal into an iconic social network used by hundreds of millions.\n\nRole\n\nWe’ve built BeReal with a small technology team of world-class engineers and we intend to keep this mindset as we scale it to hundreds of millions of users. To achieve this, we ship new features faster than any other scaled social network while upgrading our infrastructure. We work in small teams of generalists and give each engineer high autonomy to make product related decisions.\n\nTackle exciting technical challenges, given the nature of our product, which experiences spikes of millions of users connecting within a 2-minute window.\nContribute to the development of a robust architecture capable of supporting massive scale as we attract new users and expand to new countries.\nCollaborate with the product and engineering teams to create new features for the app.\nAnalyze trade-offs and address technical challenges related to key components of our backend.\nParticipate in code and design reviews.\n\nOur Stack\n\nInfrastructure: GCP, Kubernetes, Pub/Sub, GitHub actions, and ArgoCD.\nBackend: Go, Node.js (NestJS, Nx, Typescript)\nFrontend: Swift (iOS), Kotlin (Android).\nDatabase: Spanner, PostgreSQL, Redis.\n\nProfile\n\nYou have 8+ years of experience working on API on distributed architecture.\nYou have a proven experience in Go and contribute to developing high volume API microservices.\nYou are self-reliant and have prior experience in a startup or similar environment.\nYou value teamwork and thrive on challenges.\nYou are proficient in English as our team is diverse and international.\nYou have a master degree in computer science or related field.\nMost importantly, you believe in the project, are motivated, and eager to embark on an exciting and challenging journey.\n\nBenefits\n\nCompetitive salary upon experience\nSwile Lunch voucher\nGymlib (100% borne by Voodoo)\nPremium healthcare coverage SideCare, for your family is 100% borne by Voodoo\nWellness activities in our Paris office\n\n… 更多\n\n订阅相似职位\n\n后端开发员，法国 法兰西岛 巴黎\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：法国 法兰西岛 巴黎 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 76, "reasons": [ "+12 TypeScript", "+15 Go语言", "+10 Kubernetes", "+6 Redis", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4470807221", "title": "Senior AI/ML Engineer", "company": "Haystack", "location": "美国 (远程办公)", "salary_text": "", "posted": "21 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470807221/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nHaystack\n\nSenior AI/ML Engineer \n\n美国 · 的时间: 21 小时前 · 4 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "We're working with a leading technology solutions provider that partners with the National Institutes of Health (NIH) on cutting-edge initiatives. This organization is at the forefront of leveraging artificial intelligence to advance scientific research and healthcare, offering a dynamic environment where innovation directly impacts public health.\n\nThe Role\n\n Develop RAG-based research assistants using scientific publications and agency documents.\n Implement semantic search and future AI-agent capabilities for scientific platforms.\n Design and build LLM-based applications, including document ingestion, chunking, and vector search pipelines.\n Ensure grounded responses with citations and hallucination controls.\n Deploy and support AI services in Azure or AWS.\n Collaborate with cross-functional teams and customer stakeholders to integrate AI solutions.\n\nWhat You'll Need\n\n Strong Python and software development expertise.\n Hands-on experience building RAG and LLM applications.\n Proficiency with embeddings, vector databases, document retrieval, and semantic search.\n Experience integrating AI services via APIs.\n Proven track record deploying AI, ML, or data applications in Azure or AWS.\n Understanding of AI concepts like grounding, citations, evaluation, and hallucination reduction.\n\nWhat's On Offer\n\n Opportunity to work on impactful AI initiatives for national health research.\n Engaging, hands-on development role in a cutting-edge field.\n Collaborative environment with ML engineers, developers, and cloud teams.\n Exposure to advanced AI agents and workflow automation in later project phases.\n\nApply via Haystack today!\n\n… 更多\n\n订阅相似职位\n\n机器学习工程师，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agents", "rag", "evaluation", "hallucination" ], "neg": {}, "pos": [], "new": true }, { "id": "4414338041", "title": "AI Engineer", "company": "Quantiphi", "location": "美国 (远程办公)", "salary_text": "", "posted": "21 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4414338041/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nQuantiphi\n\nAI Engineer \n\n美国 · 已转发的时间: 21 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.\n\nIf working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!\n\nAbout Quantiphi\n\nQuantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.\n\nSince our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.\n\nHeadquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.\n\nWe’ve Been Recognized With\n\n21x Google Cloud Partner of the Year awards in the last 8 years.\n3x AWS AI/ML award wins.\n3x NVIDIA Partner of the Year titles.\n2x Snowflake Partner of the Year awards.\nWe have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.\nWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.\nWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.\n\nBe part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.\n\nYour next big opportunity starts here!\n\nFor more details, visit: Website or LinkedIn Page.\n\nRole: AI Engineer (MLE Architect - Agentic Workflows & Enterprise Integration)\n\nExperience Level: 5 plus\n\nWork Location: US (Remote)\n\nRole Overview\n\nQuantiphi is seeking an experienced AI Engineer to help build a next-generation, AI-driven workflow platform leveraging agentic architecture to power intelligent, scalable solutions. This role focuses on translating inputs from customer requirements and internal product teams into robust, multi-agent workflows that drive efficiency, innovation, and business impact.\n\nYou will operate in a human-in-the-loop development model, guiding AI coding assistants and autonomous agents while owning end-to-end system design, enterprise integration, security, and scalability. Working across the full stack, Python back-end services, React front-end applications, and cloud-native (AWS) environments, you will deliver production-grade platforms that integrate seamlessly within complex enterprise ecosystems.\n\nKey Responsibilities\n\nArchitect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns \nTranslate inputs from internal product teams into scalable, AI-powered workflows and services \nDesign and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation \nApply enterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systems \nGuide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainability \nDesign and operate event-driven architectures using AWS native services and messaging middleware \nBuild secure Python back-end services for AI agents, workflow execution, and enterprise integrations\nDevelop React-based front-end applications supporting complex, AI assisted user workflows \nDesign and enforce identity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systems \nBuild and operate multi-tenant architectures with strong guarantees around security, scalability, and compliance \nSupport customer deployments, including occasional on-site builds and integrations \nContribute to CI/CD pipelines, infrastructure as code, observability, and operational readiness \n\nBasic Qualifications\n\nAgentic Workflows & AI Systems \nExpert-level understanding of agentic workflow patterns, Multi-agent orchestration\nTool-based reasoning and execution \nHuman-in-the-loop controls \nWorkflow state, memory, and evaluation \nStrong proficiency in Python, with hands-on experience building AI agents and workflow systems \nExpert-level experience with LangGraph or equivalent agent orchestration frameworks \nDeep experience using and supervising coding assistants (ChatGPT, Cursor, Claude) in production environments\nProficiency with ChatGPT tools, structured prompting, and multi-agent collaboration \nEnterprise Integration & Architecture \nExpert-level understanding of enterprise integration patterns, including:\nEvent-driven and asynchronous integration \nAPI-based and message-based communication \nWorkflow orchestration and choreography \nIntegration with shared enterprise services \nStrong understanding of web architecture, distributed systems, and cloud native design \nProven experience designing and operating multi-tenant platforms \nDeep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcement \nFront End, Cloud & Delivery \nAdvanced experience building React web applications \nExpert-level understanding of AWS, including:\nDynamoDB \nEventBridge \nMessaging systems (e.g., RabbitMQ) \nMiddleware and integration services \nVPC networking, IAM, and security boundaries \nStrong experience with CI/CD pipelines and automated deployments \nAbility to operate effectively in a human-plus-AI development model, where AI produces code and engineers provide architectural oversight \nOccasional travel for customer or on-site builds may be required\n\nOther Qualifications (OQs)\n\nExperience in Life Sciences or Healthcare, particularly clinical or commercial platforms\nFamiliarity with FHIR and HL7 standards \nExperience building customer-facing enterprise platforms \nBackground in platform engineering or internal developer platforms (IDPs) \n\nWhat’s In It For YOU At Quantiphi\n\nMake an impact at one of the world’s fastest-growing AI-first digital engineering companies.\nUpskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.\nWork where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.\nStay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.\n\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\n… 更多\n\n订阅相似职位\n\nAI Engineer，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภา", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 90, "reasons": [ "+20 Python后端", "+15 React前端", "+8 DevOps/CI", "+6 消息队列", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agents", "agentic", "autonomous agents", "multi-agent", "langgraph", "copilot", "evaluation" ], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": true }, { "id": "4385001039", "title": "Senior Machine Learning Engineer", "company": "SeatGeek", "location": "美国 (远程办公)", "salary_text": "", "posted": "21 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4385001039/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSeatGeek\n\nSenior Machine Learning Engineer \n\n美国 · 已转发的时间: 22 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.\n\nSeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.\n\nYou will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value.\n\nWhat You'll Do\n\nDesign, build, and deploy machine learning models and systems that operate reliably at scale in production\nBuild and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines\nEmbed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems\nSolve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection\nDevelop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices\nWork across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings\n\nWhat You Have\n\nExperience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven\n4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps\nStrong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar\nExperience with cloud platforms and containerization technologies\nUnderstanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring\nPassion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard\nA product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick\nCommitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others\n\nOur stack\n\nYou do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.\n\nLanguages + Frameworks: Python + FastAPI, Go, C# + .NET Core \nDatastores: Postgres, MemcachedRedis, Elasticsearch\nCloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration\nVersion control: Gitlab\nAI Tooling: Cursor, Github Copliot, Claude Code\nObservability: Datadog\n\nPerks\n\nEquity stake\nDiscretionary annual bonus\nFlexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely\nA WFH stipend to support your home office setup\nUnlimited PTO\nUp to 16 weeks of fully-paid family leave \n401(k) matching \nStudent loan matching program\nHealth, vision, dental, and life insurance\nUp to $25k towards family building, reproductive health services and Gender-affirming care\n$500 per year for wellness expenses\nSubscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical\n$360 per quarter to spend on tickets to live events\nAnnual subscription to Spotify, Apple Music, or Amazon music\n\nThe salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.\n\nSeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!\n\nTo review our candidate privacy notice, click here.\n\n… 更多\n\n职位发布中说明的福利\n\n401(k)\n\n订阅相似职位\n\nSenior Machine Learning Engineer，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 59, "reasons": [ "+20 Python后端", "+15 Go语言", "+8 DevOps/CI", "+6 Redis", "+10 高级职位" ], "tier": "general", "ai_hits": [ "machine learning" ], "neg": { "线下/混合办公": [ "days a week in the office" ] }, "pos": [], "new": true }, { "id": "4408503712", "title": "Machine Learning Engineer", "company": "Paramount", "location": "纽约, NY (远程办公)", "salary_text": "", "posted": "22 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4408503712/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nParamount\n\nMachine Learning Engineer \n\n纽约, NY · 已转发的时间: 22 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\nSlade Anderson \n\n• 3度+\n\nProgram & Project Manager | Expert in Design, Research & Content | Startup to Fortune 500 | Tech-Driven Leader | Skilled in AI, project management, and productivity tools.\n\n来自腾讯的前公司同事\n\n加为好友", "description": "#WeAreParamount on a mission to unleash the power of content… you in?\n\nWe’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.\n\nOverview\n\nWe are seeking a Machine Learning Engineer to join the PlutoTV pod. You will focus on Channel, Guide, and Schedule personalization. Your goal is to make the FAST (Free Ad-supported Streaming TV) experience feel as dynamic as a premium on-demand service. You will help build the models that select which channels appear in the guide and how content is scheduled to maximize viewer session length.\n\nThis role requires deep knowledge of FAST systems and the unique constraints of linear programming. You will implement features within our GCP stack, leveraging Qdrant for content similarity and Post-training RL to optimize the \"Lean-back\" viewing experience.\n\nWhy This Role Matters\n\nModernizing Linear TV: You are part of the team transforming the static EPG (Electronic Programming Guide) into a personalized, data-driven discovery engine. \nOptimizing the \"Lean-Back\": Your models help users find something to watch immediately, reducing the friction inherent in \"channel surfing.\"\nGlobal Scale: PlutoTV is a leader in the FAST space; your code will impact the viewing habits of millions of users worldwide. \n\nKey Responsibilities\n\nFeature Development: Design and deploy ML components for channel ranking and guide personalization. \nFAST Metadata Integration: Work with linear scheduling data to create features that account for \"Current\" vs \"Next\" program relevance. \nVector-Based Similarity: Use Qdrantto group similar channels and content to improve the \"More Like This\" experience within the guide. \nModel Refinement: Train and iterate on models using TensorFlow/PyTorch, focusing on session-start and watch-time metrics. \nIndependent Execution: Own the delivery of defined tasks within the PlutoTV roadmap, from data exploration to production deployment. \n\nBasic Qualifications\n\nMinimum: 3+ years in MLE; proficiency in Python/SQL; experience with TensorFlow/PyTorch and GCP. \n\nAdditional Qualifications\n\nPreferred: Knowledge with FAST or Broadcast TV data structures; experience with Qdrant or similar vector databases. \n\nParamount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.\n\nAdditional Information\n\nHiring Salary Range: $124,000.00 - 186,000.00.\n\nThe hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.\n\nWhat We Offer:\n\nAttractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits\nGenerous paid time off. \nAn exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams. \nOpportunities for both on-site and virtual engagement events. \nUnique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. \nExplore life at Paramount: https://www.paramount.com/careers/life-at-paramount\n\nParamount is an equal opportunity employer (EOE) including disability/vet.\n\nAt Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.\n\nIf you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.\n\n… 更多\n\n职位发布中说明的福利\n\nTuition assistance\n\n订阅相似职位\n\n机器学习工程师，美国 纽约 纽约\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：纽约, NY (远程办公)，JD 未声明可全球", "salary_min": null, "score": 45, "reasons": [ "+20 Python后端", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "general", "ai_hits": [ "machine learning" ], "neg": {}, "pos": [], "new": true }, { "id": "4435226941", "title": "Senior AI Engineer", "company": "天睿", "location": "美国 华盛顿州 (远程办公)", "salary_text": "", "posted": "22 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4435226941/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\n天睿\n\nSenior AI Engineer \n\n华盛顿州, 美国 · 已转发的时间: 22 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n143.5K USD/yr - 215.2K USD/yr\n远程办公\n全职\n申请\n保存", "description": "Our Company\n\nAt Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.\n\nWhat You’ll Do\n\nAs a Senior AI Engineer, you will be a key contributor to our internal engineering AI initiatives, designing and building agent-based AI solutions that significantly enhance developer productivity across the organization. You will work on AI agents and platforms across Software Development Lifecycle and design them to be scalable, reusable, and marketplace-ready for broader adoption. \n\nYou will operate in a technically deep, fast-paced environment, collaborating closely with platform, product, and engineering teams to shape the future of our developer-facing AI capabilities. \n\nIn this role, you will:\n\nDesign, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance. \nCollaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features. \nBuild and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability. \nWork with SQL and NoSQL databases to implement efficient data models and service access patterns. \nApply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs). \nUse AI powered engineering tools to improve development quality, speed, and productivity. \nMentor engineers, supporting them in technical planning, implementation, and best practices. \nIdentify and resolve system performance bottlenecks, optimizing code, design, and infrastructure. \nWrite unit and integration tests and participate in code reviews to uphold engineering excellence. \nInvestigate production issues, ensuring timely and effective solutions. \nStay current with emerging trends in engineering, AI/ML, and cloud-native technologies. \n\nWho You’ll Work With\n\nYou will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction.\n\nWhat Makes You a Qualified Candidate\n\nBachelor’s degree in Computer Science or equivalent from a recognized institution. \n5+ years of experience in backend services, distributed systems, or data platform development. \nStrong proficiency in Java, Go, or Python for service development. \nGood understanding of design principles, distributed system patterns, and service framework. \nHands-on experience designing and developing RESTful APIs. \nExperience with SQL and NoSQL databases and data modelling. \nStrong debugging, problem solving, and troubleshooting skills. \nExperience with modern containerization and orchestration tools such as Kubernetes. \nKnowledge of public cloud platforms. \nExperience with AI productivity tools (e. g. , GitHub Copilot). \nAbility to work independently, drive workstreams, and deliver high quality outcomes. \nStrong communication and collaboration skills. \n\nWhat You’ll Bring\n\nFamiliarity with messaging systems such as Kafka. \nExperience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs. \nA track record of influencing design decisions and driving engineering best practices. \nThe ability to mentor engineers and guide them through design, planning, and execution. \nA proactive mindset and comfort working in fast paced, dynamic environments. \nCuriosity, adaptability, and a passion for building impactful AI-driven products. \n\nWhy We Think You'll Love Teradata \n\nWe prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.\n\nWhy We Think You’ll Love Teradata\n\nWe prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.\n\nTeradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.\n… 更多\n\n订阅相似职位\n\nSenior AI Engineer，美国 华盛顿州\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 华盛顿州 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 78, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agents", "agentic", "copilot" ], "neg": {}, "pos": [], "new": true }, { "id": "4472435429", "title": "AI Engineer (Remote)", "company": "Lumenalta", "location": "温哥华, BC (远程办公)", "salary_text": "", "posted": "23 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472435429/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nLumenalta\n\nAI Engineer (Remote) \n\n温哥华, BC · 的时间: 23 小时前 · 45 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n70K CAD/yr - 200K CAD/yr\n远程办公\n全职\n0 项技能匹配，共 3 项技能\n申请\n保存", "description": "At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work.\n\nWe’re seeking experienced AI Engineers to join a high-growth fintech prospect focused on back-office workflow automation. This role is an opportunity to design and deploy production-grade AI systems for community banks, mortgage, and insurance institutions while shaping a flexible, modern architecture alongside an accomplished executive team.\n\nWhat You’ll Be Doing\n\nDesign, build, and deploy AI models into production (not just prototypes or wrappers).\nDevelop and maintain backend Python services that power intelligent automation workflows.\nImplement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks and monitoring.\nTrain and optimize models on banking rules, compliance standards, and regulatory datasets.\nBuild intelligent routing systems (e.g., auto-approval for simple loans/accounts, escalation to humans for complex cases).\nCollaborate with engineering leadership to shape architecture, delivery models, and stack decisions.\nEnsure compliance-first design, embedding regulatory considerations into every product feature.\n\nWhat We’re Looking For\n\nExperience: 3–5+ years in AI/ML engineering with a track record of deploying AI into production at scale.\nTechnical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph.\nApplied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.\nDomain Awareness: Understanding of regulated industries (financial services, insurance, or similar) with the ability to design compliance-aligned models.\nCollaboration: Comfortable working with a lean, high-performing team and influencing technical direction.\nAdaptability: Excels in startup-like environments with flexible, evolving tech stacks.\n\nWhy Lumenalta is an amazing place to work at\n\nAt Lumenalta, you can expect that you will:\n\nBe 100% dedicated to one project at a time so that you can innovate and grow.\nBe a part of a team of talented and friendly senior-level developers.\nWork on projects that allow you to use leading tech.\n\nThe job is 100% Remote; please ensure you have a comfortable office set at your desired work location.\n\nSalary\n\nSalary range: CA$70,000 - CA$200,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.\n\nLocation:\n\nThis is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.\n\nBenefits\n\nIn addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:\n\nFlexible working hours in a remote environment.\nHealth insurance (medical and dental) for T4 Employees.\nA professional development fund to enhance your skills and knowledge.\n15 days of paid time off annually.\nAccess to soft-skill development courses to further your career.\n\nPosition Details\n\nThis is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.\n\nApplication Deadline\n\nApplications will be accepted until October 4th, 2026. Candidates can expect feedback by October 12th, 2026.\n\n… 更多\n\n职位发布中说明的福利\n\nMedical insurance\n\n订阅相似职位\n\nAI Engineer (Remote)，加拿大 英属哥伦比亚 温哥华\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：温哥华, BC (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "langgraph", "rag", "data quality" ], "neg": {}, "pos": [], "new": true }, { "id": "4466943272", "title": "Machine Learning Engineer", "company": "Liftoff Mobile", "location": "美国 (远程办公)", "salary_text": "", "posted": "1 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4466943272/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nLiftoff Mobile\n\nMachine Learning Engineer \n\n美国 · 已转发的时间: 1 天前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.\n\nLiftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.\n\nAs a Senior Machine Learning Engineer at Liftoff, you will:\n\nDevelop and maintain machine learning models that are integral to our production decision-making system and directly influencing business outcomes. \nAdopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)\nMonitor the latest ML research for functional ideas that the team could try. \nOptimize ML Pipelines – Build and scale efficient pipelines for real-time and batch processing. \nModel Monitoring & Improvement – Track performance, detect drift, and automate retraining. \nUse strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences\nCollaborate with a team of world-class engineers with diverse backgrounds. \nBe part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review. \n\nRequirement: \n\n3+ years of industry experience applying Machine Learning (including neural networks) to large scale problems. \nDeep knowledge of machine learning, optimization, and data analysis techniques. \nHands on experience with deep neural networks in production at scale. \nSolid engineering and coding skills. \nTrack record of well-developed execution and timely delivery of projects. \nM.S. or higher in Machine Learning, Math, Physics or similar. PhD a plus. \nExperience in ad optimization stack, e.g. targeting, ranking, bidding, is a solid plus\n\nLocation:\n\nThis role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA.\n\nWe are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.\n\nTravel Expectations:\n\nWe offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.\n\nCompensation:\n\nLiftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience\n\nSF Bay Area, Los Angeles/Orange County, NYC, Seattle: $180,000 - $245,000\nAll other cities and towns in our approved states: $165,000 - $225,000\n\n1\n\nLiftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next.\n\nLiftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.\n\nLiftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.\n\nAgency and Third Party Recruiter Notice:\n\nLiftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.\n\n… 更多", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 33, "reasons": [ "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "benchmark", "alignment" ], "neg": {}, "pos": [], "new": true }, { "id": "4472419142", "title": "Staff Deep Learning Engineer, State Estimation (R5785)", "company": "Shield AI", "location": "美国 (远程办公)", "salary_text": "", "posted": "1 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472419142/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nShield AI\n\nStaff Deep Learning Engineer, State Estimation (R5785) \n\n美国 · 的时间: 1 天前 · 14 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .\n\nJob Description:\n\nJoin Shield AI’s Hivemind SDK State Estimation & Vision team to build deep learning capabilities that help autonomous systems understand their motion and localize in the world when GPS is unavailable or unreliable.\n\nYou will work at the intersection of deep learning, 3D computer vision, and geometric estimation, developing learned components for vision-based navigation. You will own the model development pipeline—from selecting tools, defining annotation needs, and cleaning data through training, evaluation, integration support, and deployment recommendations.\n\nHands-on experience with Deep Learning and 3D computer vision and geometry is required; prior experience specifically in vision-based navigation is optional.\n\nWhat you'll do:\n\nDevelop and evaluate models for tasks such as feature detection and matching, visual correspondence, depth estimation, relative pose estimation, and image-to-map localization.\nCombine learned visual representations with geometric methods to improve localization accuracy, robustness, and recovery under challenging conditions.\nOwn data preparation and supervision strategies, including dataset curation, annotation requirements, labeling tools, automated quality checks, and coverage analysis.\nSelect and integrate deep learning tools and build reproducible training workflows, including experiment tracking, configuration management, and dataset and model versioning.\nDesign evaluations that measure both model performance and downstream localization outcomes across changes in lighting, viewpoint, altitude, terrain, weather, and sensor characteristics.\nAnalyze failures and use controlled experiments to prioritize improvements to data, supervision, models, and integration.\nPartner with state estimation engineers to integrate learned measurements and confidence estimates into VIO and terrain-relative navigation systems.\nProfile models against onboard compute, memory, and latency constraints, and work with deployment engineers on optimization and runtime validation.\nDeliver tested, documented components and interfaces for Hivemind SDK, collaborating with software, systems, and flight test teams.\n\nRequired qualifications:\n\nM.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field; minimum 4+ years of related professional work experience with an M.S. degree, or 2+ years with a Ph.D.\nHands-on experience designing, training, debugging, and evaluating models using PyTorch or an equivalent framework, including architecture selection, loss design, optimization, and augmentation that preserves geometric consistency.\nStrong foundations in camera models, coordinate transformations, projective geometry, and multi-view geometry, with practical experience in one or more fields: vision-based navigation, visual geolocation, Structure from Motion (SfM), SLAM, 3D reconstruction, depth estimation or similar fields. Expertise in every area is not required.\nStrong Python skills and experience writing maintainable, reusable software. Demonstrated ability to take a computer vision capability from problem definition and raw data through training, evaluation, and integration readiness.\nExperience building pipelines for sensor data ingestion, cleaning, filtering, deduplication, and dataset versioning.\nAbility to select and integrate development tools and build reproducible training workflows, including configuration management, experiment tracking, checkpointing, and GPU performance troubleshooting.\nExperience designing benchmarks, preventing data leakage across related sequences or locations, analyzing performance across operating conditions, and connecting model metrics to downstream geometric or localization accuracy.\nAbility to profile inference latency and memory use, document model interfaces and preprocessing, assess accuracy–compute tradeoffs, and advise deployment engineers on export, precision, and runtime optimization.\nAbility to communicate assumptions, experimental findings, and design tradeoffs clearly and translate research into working software.\n\nPreferred qualifications:\n\nExperience with aerial imagery, geospatial data, elevation maps, or matching observations across viewpoint, lighting, season, or sensor modality\nExperience with model export, quantization, TensorRT, ONNX, or deployment on embedded compute platforms.\nExperience validating perception or robotics systems on physical platforms.\nRelevant publications, open-source contributions, or demonstrated delivery of production computer vision systems, familiar with methods including:\nfeature correlation, correlation or cost volumes, and matching methods for correspondence, stereo, optical flow, or localization.\nlearning priors over scene geometry, depth, motion, or appearance to improve estimation under sparse, ambiguous, or degraded observations.\napplying diffusion models or flow matching to computer vision, geometric inference, or conditional generation.\nExperience in aerospace and / or defense industry.\n\nYou do not need every nice-to-have to succeed in this role. We welcome engineers with strong Deep Learning and 3D vision foundations who are excited to develop expertise in state estimation and navigation to apply.\n\n$200,000 - $300,000 a year\n\n#LD\n\nFull-time regular employee offer package:\n\nPay within range listed + Bonus + Benefits + Equity\n\nTemporary employee offer package:\n\nPay within range listed above + temporary benefits package (applicable after 60 days of employment)\n\nSalary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.\n\n###\n\nShield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\n\n… 更多\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнс", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "evaluation", "benchmarks" ], "neg": {}, "pos": [], "new": true }, { "id": "4463106321", "title": "Senior AI Engineer", "company": "Cadence", "location": "美国 (远程办公)", "salary_text": "", "posted": "1 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4463106321/", "queries": [ "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCadence\n\nSenior AI Engineer \n\n美国 · 已转发的时间: 1 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day.\n\nCadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week.\n\nWe operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions.\n\nThe Role\nWe're hiring a Senior AI Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians.\n\nYou will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes. You'll own the full lifecycle of AI-powered clinical workflows: retrieval, reasoning, tool use, evaluation, and safety guardrails. If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you.\n\nWhat You'll Do\n\nDesign, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations.\nOwn reliability, observability, and cost efficiency of LLM-powered workflows at scale.\nBuild and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data.\nDevelop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD.\nDesign multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths.\nCollaborate with clinical, product, and engineering teams to translate patient care needs into AI system design.\nStay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture.\n\nWhat You Need\n\nBachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience\n5+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production\nExperience in a high-growth, fast-paced environment with end-to-end ownership from design through production\nHands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs\nExperience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding\nExperience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) preferred\nFine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks preferred\nHealthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) preferred\n\nCompensation\nOur job titles may span more than one career level. The base salary for this role typically ranges between $180,000 – $245,000 annual base salary, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location.\n\nBenefits & Perks\n\nCompetitive pay & equity*\nFully remote\nComprehensive health coverage: Medical, dental & vision\nPaid time off\n401k plan + matching\nPaid parental leave\nHome office stipend\nbenefit offerings may vary depending on job profile, job level and worker type\n\nCadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. \n\nA notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence.\n\nIf you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.\n… 更多\n\n职位发布中说明的福利\n\n401(k)\n\n订阅相似职位\n\nSenior AI Engineer，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 33, "reasons": [ "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agents", "agentic", "multi-agent", "rag", "function calling", "tool use", "tool calling", "evaluation", "benchmarks", "rlhf", "guardrails" ], "neg": {}, "pos": [], "new": true }, { "id": "4472279501", "title": "Full Stack Engineer", "company": "SecondWind by Joveo", "location": "印度 (远程办公)", "salary_text": "", "posted": "1 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4472279501/", "queries": [ "Full stack engineer Python React @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSecondWind by Joveo\n\nFull Stack Engineer\n\n印度 · 的时间: 1 天前 · 超过 100 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "Role: Full Stack Engineer\nLocation: Remote\nEmployment Type: Full-time\n\nCompensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $100,000 – $160,000 (USD equivalent), plus benefits.\n\nRole Overview\n\nWe are hiring a Full Stack Engineer to build features end-to-end across our web application. The role spans frontend, backend, and the database underneath — partnering with product and design to ship things that work and scale.\n\nKey Responsibilities\n\n- Build user-facing features end-to-end, from UI through API to database\n\n- Write clean, maintainable code with appropriate test coverage\n\n- Design APIs and data models that hold up as the product grows\n\n- Conduct code reviews and contribute to engineering practices\n\n- Diagnose and resolve production issues across the stack\n\n- Partner with product and design on feasibility and trade-offs\n\nRequired Skills and Qualifications\n\n- 3+ years building production web applications end-to-end\n\n- Strong proficiency in JavaScript/TypeScript and a modern frontend framework (React, Vue, or similar)\n\n- Backend experience with Node.js, Python, Ruby, or Go\n\n- Experience with relational databases and writing efficient SQL\n\n- Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD\n\n- Solid testing discipline and Git workflow experience\n\nWhat You'll Bring\n\n- Curiosity to dig into systems and turn findings into shipped improvements\n\n- Strong written communication and ability to explain technical decisions\n\n- A test-and-learn mindset; you ship fast, measure, and iterate\n\n- Comfort working asynchronously across time zones\n\nWhat We Offer\n\n- Fully remote, flexible work hours\n\n- Performance-based bonus structure\n\n- Annual learning & development stipend\n\n- Health and wellness benefits (varies by location)\n\n- Opportunity to work on high-scale, real-world impact projects\n\nEqual Opportunity Statement\n\nThis is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.\n\n… 更多\n\n订阅相似职位\n\n全栈工程师，印度\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 93, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+15 Go语言", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [ "async明说", "书面优先" ], "new": true }, { "id": "4470390566", "title": "Industrial Tech Senior Full-Stack Engineer (100 % remote) (m/f/d)", "company": "EWOR", "location": "塞浦路斯 尼科西亚区 尼科西亚 (远程办公)", "salary_text": "", "posted": "2 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470390566/", "queries": [ "Full stack engineer Python React @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nEWOR\n\nIndustrial Tech Senior Full-Stack Engineer (100 % remote) (m/f/d)\n\n塞浦路斯 尼科西亚区 尼科西亚 · 的时间: 2 天前 · 1 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "EWOR is launching cutting-edge new initiatives, and we are looking for exceptional operators and builders to join our new department.\n\nWe are backed and led by serial entrepreneurs, including Paul Müller (founder of Adjust, €1.2B exit) and Petter Made (founder of SumUp, €8B), who have built high-impact technology and category-defining ventures from the ground up.\n\nWhat We Offer\n\nMaximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape.\nHigh-growth environment: Complete focus on achieving strong market validation and scalable traction as fast as possible. No PowerPoint presentations, no 7 layers of approval. Good ideas and fast execution are what matter.\nElite team: Report directly to the department founder and collaborate with a world-class team of engineers, researchers, and commercial leaders.\nCompetitive compensation & upside: Attractive compensation with equity upside.\n\nTasks\n\nYou will lead and execute core 0-to-1 initiatives in cutting-edge domains such as Industrial Tech.\nYou will translate high-level strategic vision into concrete execution roadmaps, driving rapid implementation from prototype to production.\nYou will architect scalable solutions and drive critical milestones to position the new department for rapid growth and potentially a spin-off to attract institutional backing.\n\nRequirements\n\nYou are based in Europe or the Americas (or open to relocate/remote arrangements).\nYou have a high-agency builder mindset, with proven domain expertise and the drive to take extreme end-to-end ownership.\nYou have excellent verbal and written communication skills in English.\n\nJoin us to build cutting-edge technology and category-defining initiatives from the ground up!\n… 更多\n\n订阅相似职位\n\n全栈工程师，塞浦路斯 尼科西亚区 尼科西亚\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：塞浦路斯 尼科西亚区 尼科西亚 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 18, "reasons": [ "+8 全栈", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": { "口语流利要求": [ "excellent verbal" ] }, "pos": [ "书面优先" ], "new": true }, { "id": "4471899186", "title": "Fullstack Engineer - HealthTech", "company": "Huzzle.com", "location": "巴基斯坦 (远程办公)", "salary_text": "", "posted": "2 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471899186/", "queries": [ "Full stack engineer Python React @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nHuzzle.com\n\nFullstack Engineer - HealthTech\n\n巴基斯坦 · 的时间: 2 天前 · 61 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "About Huzzle\n\nAt Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and HealthTech. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.\n\nAbout The Company\n\nOur client is a fast-growing HealthTech company transforming the administrative landscape for major health systems and medical groups across the United States. By blending advanced AI-driven automation with expert human coordination, the team provides a sophisticated clinical command center that handles complex front-office functions like patient intake, intelligent scheduling, and referral management. Their HIPAA-compliant platform is designed to eliminate operational bottlenecks, allowing healthcare providers to shift their focus from paperwork back to patient care.\n\nAs a scaling organization, the team prioritizes measurable impact and high-fidelity technology that integrates seamlessly with existing healthcare ecosystems. They foster a culture of innovation and empathy, focusing on building tools that amplify human judgment rather than replacing it. This is an opportunity to join a mission-driven company at the intersection of artificial intelligence and healthcare operations, dedicated to improving patient adherence and provider efficiency through smarter, more responsive technology.\n\nJob Type: Full-time\n\nJob Summary\n\nWe are seeking a high-caliber Fullstack Engineer to join a mission-driven HealthTech team dedicated to transforming patient care through intelligent automation. In this role, you will be at the forefront of building AI-enabled applications and scalable cloud infrastructure that directly impacts healthcare outcomes. We are looking for a systems-thinker who embraces modern AI-assisted development workflows to build robust, autonomous systems. If you thrive in fast-paced startup environments and are passionate about leveraging cutting-edge technology to solve complex logistical challenges in healthcare, this is the place for you.\n\nKey Responsibilities\n\nMaintain and improve existing JavaScript/React applications and cloud infrastructure\nArchitect and build new AI-enabled applications, workflows, and internal tooling\nDesign and implement scalable APIs and event-driven systems\nDevelop critical integrations with healthcare systems, telephony platforms, AI providers, and third-party services\nUtilize modern AI tooling and coding assistants to maximize development velocity and code quality\nContribute to the strategic evolution of the platform toward autonomous and intelligent workflow orchestration\n\nRequirements\n\n5+ years of professional fullstack engineering experience\nStrong written and verbal English communication skills\nAbility to work consistent EST hours to ensure team alignment\nProven ability to operate independently and take ownership in a fast-moving startup environment\nA strong problem-solving and systems-thinking mindset\nDeep experience with JavaScript/TypeScript, React, Next.js, and Node.js\nProficiency with Firestore/Firebase and REST API development\nExperience with Git-based workflows and containerized environments (Docker)\n\nNice-to-Haves\n\nExperience with Vercel, PostgreSQL, Kubernetes, and Helm\nKnowledge of Python and CI/CD pipeline management\nBackground in building event-driven architectures, microservices, or real-time systems\nHands-on experience with AI SDKs, LLM integrations, and Voice/Conversational AI platforms\nDirect experience within the Healthcare Technology sector\nFamiliarity with cloud infrastructure and observability tooling\n\nBenefits\n\n💰 Competitive salary\n\n🌎 Fully remote work environment\n\n🚀 Career growth opportunities\n\n📈 Long-term stability\n\n🤝 Collaborative and supportive team culture\n… 更多\n\n订阅相似职位\n\n全栈工程师，巴基斯坦\n\n关", "applicants": "61", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：巴基斯坦 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 114, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "alignment" ], "neg": { "口语流利要求": [ "Strong written and verbal", "verbal English" ] }, "pos": [], "new": true }, { "id": "4471847126", "title": "Forward-Deployed Full-Stack Engineer", "company": "KMC Solutions", "location": "菲律宾 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471847126/", "queries": [ "Full stack engineer Python React @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nKMC Solutions\n\nForward-Deployed Full-Stack Engineer \n\n菲律宾 · 的时间: 3 天前 · 82 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 3 项技能\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nNeil Canlas \n\n• 3度+\n\nRegional Manager for Talent Acquisition\n\n职位发布者\n\n发消息", "description": "About the Role\n\nWe are hiring a hands-on engineer to own customer pilot deployments from first technical conversation through production-ready rollout.\n\nThis role is part full-stack engineer, part deployment engineer, and part customer-facing technical lead. You will work directly with customers to understand their environment, configure deployments, write product code, test integrations, debug issues, and make sure pilots actually work in the real world.\n\nWork Setup: Full-time regular; Morning shift; Remote - Must be residing in PH\n\nResponsibilities\n\nLead technical onboarding and pilot deployment for customers\nJoin customer calls to gather requirements and translate them into implementation tasks\nBuild and maintain backend APIs, frontend features, deployment scripts, and integrations\nDeploy systems across cloud, customer-provided GPU machines, or Necora-managed infrastructure\nWork with Docker, Linux, networking, GPUs, auth, monitoring, and data pipelines\nTest pilot deployments end-to-end before customer handoff\nDebug live issues quickly and communicate clearly with customers\nWrite internal runbooks, customer setup docs, and repeatable deployment processes\nHelp turn one-off pilot work into scalable product infrastructure\n\nQualifications:\n\nAt least 5 years experience as full-stack engineer\nDeveloper experience within a data center company is highly preferred.\nPython backend experience, ideally FastAPI or similar\nReact / TypeScript frontend experience\nDocker, Linux, cloud, and deployment experience\nComfort working with customer systems, APIs, files, sensors, or data feeds\nStrong debugging and testing discipline\nClear written and verbal communication\nAbility to operate independently in an early-stage startup environment\n\n… 更多\n\n职位发布者添加的要求\n\n• 具有Python (Programming Language) 5+ 年工作经验\n\n• 具有React.js 5+ 年工作经验\n\n订阅相似职位\n\nForward-Deployed Full-Stack Engineer，菲律宾\n\n关", "applicants": "82", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：菲律宾 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 81, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+8 Docker", "+8 DevOps/CI", "+8 全栈", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": true }, { "id": "4471313135", "title": "Senior Full-Stack Engineer", "company": "Plant-A Insights Group", "location": "菲律宾 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471313135/", "queries": [ "Full stack engineer Python React @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nPlant-A Insights Group\n\nSenior Full-Stack Engineer \n\n菲律宾 · 的时间: 11 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 1 项技能\n快速申请\n保存", "description": "# Senior Full-Stack Engineer\n\nPlant-A is a research and data company based in New York City. We develop rankings and insights in partnership with major publishers, including Newsweek, USA TODAY, Business Insider, and The Independent.\n\nWe are looking for a Senior Full-Stack Engineer to build a platform that helps brands and agencies discover relevant quotes from publisher content and license them for advertising and marketing. The platform will also help publishers manage licensing, understand buyer demand, and generate revenue from their content.\n\nWe have a working prototype and are ready to build the production platform. You will own significant parts of the product and its technical architecture, working directly with Plant-A’s leadership.\n\n## What you’ll do\n\n- Build search and discovery tools for large volumes of publisher content.\n\n- Develop features that match buyer briefs to relevant quotes, including saved searches and brand alerts.\n\n- Build publisher workflows for managing quotes, rights, approvals, pricing, and licensing requests.\n\n- Create dashboards for buyer activity, leads, licensing revenue, and demand trends.\n\n- Design systems for content ingestion, accounts, permissions, payments, and reporting.\n\n- Help develop integrations for using licensed quotes in digital advertising campaigns.\n\n## What we’re looking for\n\n- At least five years of experience building and shipping full-stack products.\n\n- Strong experience with React, Next.js, and TypeScript, plus backend development in Node.js or Python.\n\n- Experience designing APIs, working with SQL databases, and deploying secure cloud applications.\n\n- The ability to turn an early prototype into reliable, intuitive software.\n\n- Sound technical judgment and the ability to work independently with a small team.\n\nExperience with search, large datasets, AI-assisted features, media, advertising technology, marketplaces, or content licensing is a plus.\n\n## Why join Plant-A\n\nYou’ll help shape a new product from an early stage and make technical decisions that have a direct impact on how it works. The role brings together product engineering, search, AI, and marketplace workflows for publishers, agencies, and brands.\n\n**To apply:** Submit your application through LinkedIn. Tell us about a product you helped build and what you personally owned.\n\n… 更多\n\n职位发布者添加的要求\n\n• 具有Agile Software Development 6+ 年工作经验\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：菲律宾 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 65, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+8 全栈", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4471896323", "title": "Fullstack Engineer - HealthTech", "company": "Huzzle.com", "location": "印度 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471896323/", "queries": [ "Full stack engineer Python React @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nHuzzle.com\n\nFullstack Engineer - HealthTech\n\n印度 · 的时间: 2 天前 · 超过 100 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "About Huzzle\n\nAt Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and HealthTech. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.\n\nAbout The Company\n\nOur client is a fast-growing HealthTech company transforming the administrative landscape for major health systems and medical groups across the United States. By blending advanced AI-driven automation with expert human coordination, the team provides a sophisticated clinical command center that handles complex front-office functions like patient intake, intelligent scheduling, and referral management. Their HIPAA-compliant platform is designed to eliminate operational bottlenecks, allowing healthcare providers to shift their focus from paperwork back to patient care.\n\nAs a scaling organization, the team prioritizes measurable impact and high-fidelity technology that integrates seamlessly with existing healthcare ecosystems. They foster a culture of innovation and empathy, focusing on building tools that amplify human judgment rather than replacing it. This is an opportunity to join a mission-driven company at the intersection of artificial intelligence and healthcare operations, dedicated to improving patient adherence and provider efficiency through smarter, more responsive technology.\n\nJob Type: Full-time\n\nJob Summary\n\nWe are seeking a high-caliber Fullstack Engineer to join a mission-driven HealthTech team dedicated to transforming patient care through intelligent automation. In this role, you will be at the forefront of building AI-enabled applications and scalable cloud infrastructure that directly impacts healthcare outcomes. We are looking for a systems-thinker who embraces modern AI-assisted development workflows to build robust, autonomous systems. If you thrive in fast-paced startup environments and are passionate about leveraging cutting-edge technology to solve complex logistical challenges in healthcare, this is the place for you.\n\nKey Responsibilities\n\nMaintain and improve existing JavaScript/React applications and cloud infrastructure\nArchitect and build new AI-enabled applications, workflows, and internal tooling\nDesign and implement scalable APIs and event-driven systems\nDevelop critical integrations with healthcare systems, telephony platforms, AI providers, and third-party services\nUtilize modern AI tooling and coding assistants to maximize development velocity and code quality\nContribute to the strategic evolution of the platform toward autonomous and intelligent workflow orchestration\n\nRequirements\n\n5+ years of professional fullstack engineering experience\nStrong written and verbal English communication skills\nAbility to work consistent EST hours to ensure team alignment\nProven ability to operate independently and take ownership in a fast-moving startup environment\nA strong problem-solving and systems-thinking mindset\nDeep experience with JavaScript/TypeScript, React, Next.js, and Node.js\nProficiency with Firestore/Firebase and REST API development\nExperience with Git-based workflows and containerized environments (Docker)\n\nNice-to-Haves\n\nExperience with Vercel, PostgreSQL, Kubernetes, and Helm\nKnowledge of Python and CI/CD pipeline management\nBackground in building event-driven architectures, microservices, or real-time systems\nHands-on experience with AI SDKs, LLM integrations, and Voice/Conversational AI platforms\nDirect experience within the Healthcare Technology sector\nFamiliarity with cloud infrastructure and observability tooling\n\nBenefits\n\n💰 Competitive salary\n\n🌎 Fully remote work environment\n\n🚀 Career growth opportunities\n\n📈 Long-term stability\n\n🤝 Collaborative and supportive team culture\n… 更多\n\n订阅相似职位\n\n全栈工程师，印度\n\n关\n想找到好工作？\n\n找简历达人帮忙\n\n获取简历修改建议\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 114, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "alignment" ], "neg": { "口语流利要求": [ "Strong written and verbal", "verbal English" ] }, "pos": [], "new": true }, { "id": "4472028590", "title": "Principal Data Platform Engineer", "company": "Atlassian", "location": "印度 卡纳塔克邦 班加罗尔 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472028590/", "queries": [ "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAtlassian\n\nPrincipal Data Platform Engineer \n\n印度 卡纳塔克邦 班加罗尔 · 的时间: 2 天前 · 85 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Overview\n\nAre you passionate about data platforms and tools? Are you an open-minded, structured thinker who is passionate about building systems at scale. Do you understand data platforms, know how to build them and want to help our users to make data actionable? If so, this role with our team at Atlassian is for you.\n\nWe are looking for a Principal Software Engineer to join our Data Platform Team to build a world class data platform that powers crucial business decisions throughout the organization.\n\nYou will partner with analytics teams, data engineers and data scientists across various initiatives and work with them to understand the gaps and bring your findings back to the team to build these capabilities.\n\nWorking at Atlassian\n\nAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.\n\nResponsibilities\n\nWe build analytical data platforms for Atlassian that serve both Engineering and Data Engineering to help them generate valuable insights from data.\n\nAs a Principal Engineer On This Team You Will\n\nOwn the long term architecture and technical direction for core platform capabilities and be accountable for their reliability, cost efficiency and adoption\nDesign and build foundational platform components that other engineering teams build on top of, across areas like ingestion, transformation, orchestration, compute and consumption\nArchitect robust multi-tenant platform standards by establishing clear cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers, while driving compute and storage efficiency across workloads\nLead cross team technical initiatives and architecture reviews, influence platform strategy with senior stakeholders and act as a technical mentor and multiplier for Senior engineers\nStay hands on. You will be in the code on the hardest problems, not just reviewing designs\n\nCompensation\n\nAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.\n\nThis role may also be eligible for benefits, bonuses, commissions, and equity.\n\nQualifications\n\nRequired\n\n12+ years of software or data engineering experience, with at least 6 years building data platform infrastructure\nYou have built a data platform or a significant component of one and operated it in production. For example an ingestion framework, a transformation framework, a compute or query layer, an orchestration layer, a metadata or lineage service or a data quality framework\nYou can describe the scale that component ran at in concrete numbers. Data volume, ingest throughput, number of pipelines or jobs, query concurrency and latency, number of onboarded teams or tenants and infrastructure cost.\nDeep understanding of big data and distributed systems challenges including partitioning, shuffle behaviour, skew, idempotency and backfills\nExperience designing both batch and streaming architectures and clear judgement on when each is the right answer\nExpert level programming skills in language such as Java, Kotlin or Python and built solutions on public cloud offerings such as Amazon Web Services\nExperience with big data processing and storage technologies such as Spark, DBT and with open table formats such as Iceberg or Delta Lake\nA track record of owning ambiguous cross team problems end to end and of influencing without authority\nDegree in Computer Science, EE or a related STEM discipline or equivalent practical experience\n\nNice to have\n\nExperience with high performance analytical or MPP databases such as StarRocks, Druid, ClickHouse or Pinot\nExperience with change data capture and event driven ingestion at high volume\nExperience building a semantic layer or metrics store and governing shared metric definitions\nExperience with the data foundations of ML platforms, such as point-in-time correct training data, online and offline feature parity or backfilling features at scale\nExperience with data governance, access control, lineage and compliance, including regulated environments such as FedRAMP\nExperience running platform components on Kubernetes\nExperience with multi region data architectures, including replication, failover and consistency tradeoffs\n\nBenefits & Perks\n\nAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .\n\nAbout Atlassian\n\nAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.\n\nWe believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.\n\nTo provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.\n\nTo learn more about our culture and hiring process, visit go.atlassian.com/crh .\n\nIn line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.\n… 更多\n\n订阅相似职位\n\n平台工程师，印度 卡纳塔克邦 班加罗尔\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 卡纳塔克邦 班加罗尔 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 86, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "data quality" ], "neg": {}, "pos": [], "new": true }, { "id": "4471465294", "title": "Sr. Staff Platform Operations Engineer", "company": "Cloudera", "location": "印度 卡纳塔克邦 班加罗尔 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471465294/", "queries": [ "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCloudera\n\nSr. Staff Platform Operations Engineer \n\n印度 卡纳塔克邦 班加罗尔 · 的时间: 3 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Business Area: \n\nSeniority Level:\n\nMid-Senior level\n\nJob Description:\n\nAt Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.\n\nThe Cloudera IT team is looking for a talented, motivated, and passionate Sr. Staff Platform Operations Engineer to join our Technical Operations organization. In this role, you will help design and run the internal platform that our engineers and business teams rely on every day, owning the deployment, reliability, and automated management of our Linux-based infrastructure and core IT services across on‑premise and cloud. As a technical leader and subject matter expert, you’ll combine deep Linux systems experience with infrastructure-as-code, automation, and security-first thinking to build a highly available, compliant, and scalable foundation for the company.\n\nAs a Sr. Staff Platform Operations Engineer you will:\n\nArchitect, deploy, and provide senior-level operational support for our on-premise and cloud-based Linux infrastructure and core IT services (e.g., virtualization, baremetal, storage, DNS), ensuring high availability and reliability.\nDevelop, maintain, and champion our Infrastructure-as-Code (IaC) and automation frameworks using tools like Terraform, Ansible, and Foreman/MaaS to manage and deploy platform services.\nImplement and automate system-level security best practices, including patching, hardening, and configuration management, ensuring compliance and resilience from the ground up.\nBuild and automate deployment pipelines for IT infrastructure services (e.g., system images, configuration, platform services) using tools like GitHub/Git, Ansible, and scripting tools.\nServe as a technical Subject Matter Expert (SME), working with IT Systems, CloudOps, Security, and Engineering teams to design and implement robust, scalable, and optimal solutions.\nParticipate in a shared on-call rotation to support mission-critical IT services (with clear documentation and runbooks provided).\nCreate and maintain accurate documentation for automation, operational audits, and compliance.\nDesign, implement, and administer enterprise storage platforms, including Dell PowerStore and Pure Storage arrays, ensuring capacity, performance, data protection, and high availability for critical workloads.\nMentor junior team members.\n\nWe are excited if you have (Required Qualifications):\n\nBachelor’s degree in Computer Science or 8+ years of equivalent experience in a large-scale enterprise environment.\nDeep, expert-level Linux systems administration experience (e.g., Red Hat, Rocky, Ubuntu) and mastery of common Command Line Interface (CLI) tools and services.\nStrong hands-on skills with Python and shell scripting, used for systems automation, tooling, and integration.\nProven experience with Infrastructure-as-Code (e.g., Terraform, Ansible) and version control (GitHub/Git).\nSolid experience managing hybrid infrastructure, with deep expertise in on-premise environments (virtualization/OpenStack, networking) and a strong understanding of core public cloud services (AWS/Azure/GCP) and containerized platforms (Kubernetes).\nHands-on experience administering enterprise storage arrays, ideally including Dell PowerStore and Pure Storage FlashArray (provisioning, performance tuning, upgrades, and troubleshooting).\nA security-first mindset and experience designing, building, and operating secure, automated infrastructure.\nStrong networking fundamentals (TCP/IP, DNS, DHCP, routing, firewalls), including public cloud equivalents.\n\nYou may also have:\n\nCertifications such as Red Hat (RHCE), Terraform, or public cloud (AWS, Azure, GCP).\nKnowledge of enterprise security principles, cryptography, PKI, and operational security practices.\nExperience operating in regulated/high-governance/compliance environments (e.g., FedRAMP, PCI, ISO27001, SOC2, etc.).\nFamiliarity with monitoring and observability tools.\nExperience with containerization (Docker) and orchestration (Kubernetes).\nProject management experience.\nPrevious experience mentoring junior team members.\n\nThis role is not eligible for immigration sponsorship.\n\nWhat you can expect from us:\n\nGenerous PTO Policy \nSupport work life balance with Unplugged Days\nFlexible WFH Policy \nMental & Physical Wellness programs \nPhone and Internet Reimbursement program \nAccess to Continued Career Development \nComprehensive Benefits and Competitive Packages \nPaid Volunteer Time\nEmployee Resource Groups\n\nEEO/VEVRAA\n\n… 更多\n\n订阅相似职位\n\n高级营运工程师，印度 卡纳塔克邦 班加罗尔\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：印度 卡纳塔克邦 班加罗尔 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 71, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4443799201", "title": "Platform Engineer (Agent Runtime)", "company": "Netskope", "location": "菲律宾 马尼拉大都会 达义市 (远程办公)", "salary_text": "", "posted": "3 天前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4443799201/", "queries": [ "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nNetskope\n\nPlatform Engineer (Agent Runtime) \n\n菲律宾 马尼拉大都会 达义市 · 已转发的时间: 3 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Join the Future of Security at Netskope\n\nNetskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.\n\nAt Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.\n\nVisit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.\n\nEvery agent on this platform runs inside its own isolated environment, and someone has to make sure that environment actually behaves the way it's supposed to under real load, not just in a clean test run. As a Senior Agent Runtime Engineer, you'll own the health of the systems agents run on: keeping sessions isolated from each other, catching the failure modes that only show up under real concurrency, and making sure a slow or expensive agent gets caught before it becomes everyone's problem. You'll work closely with the engineers building the agents themselves, since you're often the first call when something behaves strangely in a real environment but not in a test one. If you like being the person who understands a system well enough to know exactly why it's misbehaving, this is that job.\n\nSkills and competencies:\n\nOwn the health of the agent execution environment day to day — session isolation, resource limits, and catching the failure modes that only appear once real concurrency and real traffic patterns show up, not just in a clean test run. \nInvestigate and resolve cases where an agent behaves differently in production than it did in testing, working directly with the Agent Engineer or Quality Engineer who built it to figure out whether the problem is the agent's design or the environment it's running in. \nTune cold-start and concurrency settings for the platform's critical-path functions, and review them on a regular cadence as usage patterns shift rather than setting them once and forgetting them. \nUnderstand the platform's session isolation model well enough to reason about its limits — where isolation is guaranteed by the underlying compute layer, and where the platform has to add its own controls because that guarantee doesn't fully hold. \nBuild and maintain the observability that lets someone answer \"is this agent actually working correctly,\" not just \"is it technically up\" — tracing, behavioral drift detection, and quality signals sitting alongside the usual metrics and logs. \nTrack per-agent and per-session cost and efficiency, and flag agents that are burning more tokens, calling more tools, or running longer than the task should reasonably require. \nDeploy and manage runtime-layer infrastructure resources through existing CI/CD pipelines as needed — provisioned concurrency settings, runtime-specific IAM roles, observability configurations, etc. \nRun and improve the tests that validate isolation actually holds — for example, confirming that one agent's session genuinely can't reach or affect another's, not just assuming it because the platform is supposed to guarantee it. \n\nMust-Have:\n\nAt least 5 years in a platform, SRE, or infrastructure engineering role, with real production experience running serverless or containerized workloads on AWS (Lambda, Fargate, Docker, Kubernetes or equivalent) at meaningful scale. \nHands-on experience with AWS observability tooling (CloudWatch, X-Ray, or a comparable distributed tracing stack) — able to go from \"something's wrong\" to a root cause using traces and logs, not just dashboards. \nReal experience deploying and managing infrastructure through CI/CD independently — comfortable owning IaC changes (Terraform, CDK, or similar) end to end rather than handing them off to someone else. \nWorking understanding of compute isolation concepts (containers, microVMs, or similar sandboxing models) and where their guarantees actually stop, since a lot of this role is reasoning about the edges of what a platform promises versus what it might not fully cover on its own. \nComfort investigating cost and performance problems at a granular level — able to trace an unexpectedly expensive or slow workload back to a specific cause, not just flag that costs went up. \nStrong incident response instincts: staying calm and methodical while root-causing a live production issue, and following through with an actual fix rather than a workaround. \n\nStrong Advantage:\n\nDirect experience with AWS Bedrock, SageMaker, or any managed AI/agent runtime platform. \nExperience with cold-start or concurrency tuning specifically (Lambda provisioned concurrency, container warm pools, or similar). \nExposure to a security-conscious or regulated environment where infrastructure changes go through a formal review or approval process. \nFamiliarity with LLM-specific cost drivers (token pricing, tool-call volume, model tiering) even if it wasn't the primary focus of a past role. \n\nNetskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.\n\nNetskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.\n\nThe application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.\n\n… 更多\n\n订阅相似职位\n\n平台工程师，菲律宾 马尼拉大都会 达义市\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：菲律宾 马尼拉大都会 达义市 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 74, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "general", "ai_hits": [ "llm" ], "neg": {}, "pos": [], "new": true }, { "id": "4469118888", "title": "Android Software Engineer", "company": "ActAI", "location": "中国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4469118888/", "queries": [ "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nActAI\n\nAndroid Software Engineer\n\n中国 · 已转发的时间: 5 小时前 · 61 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About ActAI\n\nThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.\n\nOur product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations\n\nOur objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things.\n\nRole\n\nAs an Android Developer, AI Apps, you own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You will build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.\n\nFocus\n\nBuild and maintain production Android apps using Kotlin.\nIntegrate AI-powered features (chat, vision, voice, recommendations) via backend APIs.\nDesign UX patterns for AI interactions, including streaming responses, retries, and partial results.\nOptimize performance, memory usage, and responsiveness for AI-heavy flows.\nImplement analytics, logging, and feedback capture to support AI evaluation and iteration.\nCollaborate closely with backend and ML engineers on API contracts and system behavior.\nEnsure app stability, security, and scalability in production environments.\n\nIdeal Experiences\n\n3+ years of Android development experience using Kotlin.\nHands-on experience integrating AI features (e.g. LLM, vision, speech APIs).\nStrong understanding of asynchronous programming (Coroutines, Flow).\nFamiliarity with REST or gRPC APIs and structured data formats.\nStrong debugging and performance profiling skills.\nComfort building in environments with latency, partial failure, and non-deterministic behavior.\nExperience with MLKit or light on-device inference.\nPublished production apps on the Google Play Store.\n\nOutcomes\n\nStable, smooth, and reliable real-world use android applications.\nPerformance is optimized: responsive, low-latency, and efficient on memory and CPU.\nProduction issues are detected early, monitored effectively, and resolved with clear root-cause analysis.\n\nTech Stack\n\nKotlin / Java\nSQL / noSQL\nTensorFlow Lite (on-device inference)\n\nHow We Work\n\nThe best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product\n\nInterview process\n\nIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.\n\nApplications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.\n\nWe value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.\n\n… 更多\n\n订阅相似职位\n\nAndroid Software Engineer，中国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 38, "reasons": [ "+8 gRPC", "+15 AI/LLM/评测", "+15 全球远程" ], "tier": "eval", "ai_hits": [ "evaluation", "hallucination" ], "neg": {}, "pos": [], "new": true }, { "id": "4434624546", "title": "Linux Software Engineer - Ubuntu for Next-Gen Silicon (multiple roles and seniority levels)", "company": "Canonical", "location": "欧洲、中东和非洲 (远程办公)", "salary_text": "", "posted": "18 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4434624546/", "queries": [ "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCanonical\n\nLinux Software Engineer - Ubuntu for Next-Gen Silicon (multiple roles and seniority levels) \n\n欧洲、中东和非洲 · 已转发的时间: 19 小时前 · 77 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.\n\nThe company is founder-led, profitable, and growing.\n\nCanonical’s Partner Engineering Team is looking for open-source enthusiasts to work across the full Linux stack to ensure new silicon technologies, such as new hardware accelerators, AI stacks, confidential computing, networking, virtualization, and containerization stacks, are optimized for new silicons.\n\nPartner Engineering works closely with worldwide silicon companies to optimize Ubuntu for their new silicon, from x86, ARM, RISC-V, PowerPC and s390x architectures.\n\nLocation: This is a Globally remote role\n\nThe role entails\n\nCollaborating proactively within a distributed team\nFostering a software ecosystem with seamless user experience for all Ubuntu users\nEvaluating contributions of other engineers to maintain high-quality software standards.\nPlaying a role in shaping the future of Ubuntu via both - new ideas in your areas of interest and advising on work being done elsewhere\nCollaborating with other teams in the Ubuntu and Debian communities, with upstream projects, and commercially supported customers\nDebugging issues on open source code and team maintained code.\nHelping our our customers to integrate their apps, SDKs, build OS images, optimize applications with Ubuntu Core, Desktop and Server\nWorking with a team to maintain Ubuntu, silicon features, and silicon-optimized packages across platforms and technologies such as:\nServers, HPC and AI systems, IoT devices, PCs, SmartNICs and automotive systems\nAI stacks\nGraphics, audio and multimedia stacks\nVirtualisation and Containers\nHardware enablement stacks\nNew architectures, architecture variants and optimized toolchains \nPackage management and dependencies\nPlatform security (secure boot, FDE, Ubuntu Core, Confidential Computing)\n\nWork from home with global travel 2 to 4 weeks for internal events\n\nWhat we are looking for in you\n\nExceptional academic track record from both high school and university\nUndergraduate degree in a technical subject or a compelling narrative about your alternative chosen path\nYou love technology and working with brilliant people\nYou are curious, flexible, articulate, and accountable\nYou value soft skills and are passionate, enterprising, thoughtful, and self-motivated\nYou value building partnerships with a diverse set of internal and external groups\nStrong fundamentals in C, C++ and Python\nExperience or interest in learning Linux distribution packaging \nExperience or Interest in open source maintenance or contribution and licenses\nFundamental understanding of package management and dependency resolution\n\nAdditional Skills That You Might Also Bring\n\nExperience with one or more of the following:\nGraphics, audio, or multimedia stacks\nVirtualization and containers (Docker, OCI, Kubernetes)\nHardware enablement for platforms and devices, including SmartNICs, NVMe storage, GPUs, audio components, and sensors\nPerformance optimization\nToolchain development and maintenance\nNetworking protocols and technologies (TCP/IP, DHCP, HTTP/REST)\nSecurity best practices\nIoT and embedded systems, including board-level hardware, SoCs, BMCs, bootloaders, firmware, operating systems, applications, and services\n\nWhat we offer colleagues\n\nWe consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.\n\nDistributed work environment with twice-yearly team sprints in person\nPersonal learning and development budget of USD 2,000 per year\nAnnual compensation review\nRecognition rewards\nAnnual holiday leave\nMaternity and paternity leave\nTeam Member Assistance Program & Wellness Platform\nOpportunity to travel to new locations to meet colleagues\nPriority Pass and travel upgrades for long-haul company events\n\nAbout Canonical\n\nCanonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.\n\nCanonical is an equal opportunity employer\n\nWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.\n\n… 更多\n\n职位发布中说明的福利\n\nPaid paternity leave\n\n订阅相似职位\n\n软件工程师，欧洲、中东和非洲\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：欧洲、中东和非洲 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 71, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 Docker", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": true }, { "id": "4461470012", "title": "Sr. Director, Design Quality & Reliability – OCI Data Center Infrastructure", "company": "甲骨文", "location": "美国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4461470012/", "queries": [ "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\n甲骨文\n\nSr. Director, Design Quality & Reliability – OCI Data Center Infrastructure \n\n美国 · 已转发的时间: 22 小时前 · 60 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Job Description\n\nThe Sr. Director will partner closely with Construction, Supply Chain, Product Engineering, Operations, and strategic suppliers to ensure OCI infrastructure platforms consistently meet aggressive reliability, availability, and lifecycle performance objectives.\n\nKey Responsibilities\n\nBuild and Lead the Function\n\n Establish and scale OCI’s Design Quality & Reliability organization for AI data center infrastructure. \n Develop the strategy, operating model, governance, metrics, and execution roadmap for the function. \n Build and lead a high-performing multidisciplinary team spanning reliability engineering, supplier quality, design assurance and validation,. \n Define organizational processes and standards for quality and reliability across the infrastructure lifecycle. \n\nDesign Quality & Reliability Leadership\n\n Ensure infrastructure designs meet OCI reliability, resiliency, maintainability, and lifecycle performance requirements. \n Drive design assurance processes that validate design intent against operational requirements and long-term reliability objectives. \n Lead cross-functional design reviews focused on reliability risk reduction, failure prevention. \n Establish reliability engineering methodologies including FMEA, fault tree analysis, accelerated life testing, and design-for-reliability practices. \n\nProduct Quality & Supplier Reliability\n\n Define qualification and acceptance criteria for critical infrastructure products and systems used in OCI data centers. \n Establish product quality benchmarks and reliability performance targets, including AFR (Annualized Failure Rate), IDR, MTBF, and other key reliability indicators. \n Develop supplier quality management frameworks and collaborate with strategic suppliers to improve product reliability and manufacturing quality. \n Support root cause analysis and corrective action processes for field failures and reliability excursions. \n\nMetrics, Benchmarking & Continuous Improvement\n\n Develop KPI dashboards and measurement systems to benchmark design and product reliability performance across the OCI infrastructure portfolio. \n Analyze field performance data, warranty trends, operational incidents, and failure modes to identify systemic improvement opportunities. \n Establish data-driven processes to recommend and implement design, component, or supplier changes that improve quality, reliability, and operational efficiency. \n Benchmark OCI performance against hyperscale and industry best practices. \n\nCross-Functional Partnership\n\n Partner with Infrastructure Capacity Delivery, Operations, Supply Chain, and Product teams to ensure reliability objectives are embedded throughout the lifecycle. \n Influence strategic technology and supplier selection decisions using quality and reliability data. \n Provide executive-level reporting on reliability performance, risks, and improvement initiatives. \n\nResponsibilities\n\nRequired Experience\n\n 15+ years of experience in quality, reliability engineering, critical infrastructure, manufacturing quality, or related technical leadership roles. \n 7+ years leading large-scale engineering or quality organizations. \n Experience building or transforming quality and reliability programs in hyperscale infrastructure, cloud, semiconductor, power systems, telecom, or mission-critical environments. \n Deep expertise in reliability engineering methodologies and statistical analysis techniques. \n Proven experience with supplier quality management and complex hardware ecosystems. \n Strong understanding of critical infrastructure systems including power distribution, cooling, controls, mechanical, and electrical systems. \n\nPreferred Qualifications\n\n Experience in hyperscale data center infrastructure or cloud infrastructure environments. \n Familiarity with AFR, IDR, MTBF, and reliability growth methodologies. \n Experience with GW-scale infrastructure deployment programs. \n Demonstrated success driving measurable reliability improvements across large operational fleets. \n Advanced degree in Engineering, Reliability Engineering, Mechanical Engineering, Electrical Engineering, or related field preferred. \n\nLeadership Characteristics\n\n Strategic builder with the ability to create new functions and scale organizations. \n Data-driven decision maker with strong analytical rigor. \n Strong executive communication and influence skills. \n Bias for action and operational excellence. \n Collaborative leader capable of driving alignment across engineering, operations, and suppliers. \n Passion for quality, reliability, and continuous improvement at hyperscale. \n\nImpact\n\nThis role will directly shape the reliability foundation of OCI’s next-generation infrastructure platform. The Sr. Director will establish the systems, standards, and culture that ensure OCI data center designs and infrastructure products achieve exceptional quality, operational resilience, and lifecycle performance at unprecedented scale.\n\nTop of Form\n\nBottom of Form\n\nBottom of Form\n\nQualifications\n\nDisclaimer:\n\nCertain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.\n\nRange and benefit information provided in this posting are specific to the stated locations only\n\nUS: Hiring Range in USD from: $182,000 - $414,400 per year. May be eligible for bonus, equity, and compensation deferral.\n\nOracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.\n\nCandidates are typically placed into the range based on the preceding factors as well as internal peer equity.\n\nOracle US offers a comprehensive benefits package which includes the following:\n\n Medical, dental, and vision insurance, including expert medical opinion\n Short term disability and long term disability\n Life insurance and AD&D\n Supplemental life insurance (Employee/Spouse/Child)\n Health care and dependent care Flexible Spending Accounts\n Pre-tax commuter and parking benefits\n 401(k) Savings and Investment Plan with company match\n Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.\n 11 paid holidays\n Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.\n Paid parental leave\n Adoption assistance\n Employee Stock Purchase Plan\n Financial planning and group legal\n Voluntary benefits including auto, homeowner and pet insurance\n\nThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.\n\nCareer Level - M5\n\nAbout Us\n\nOnly Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.\n\nTrue innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement opti", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 25, "reasons": [ "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "benchmarks", "alignment" ], "neg": { "客户/演示/销售": [ "client-facing" ] }, "pos": [], "new": true }, { "id": "4259509359", "title": "Member of Technical Staff, Training Performance Engineer", "company": "Cohere", "location": "蒙特利尔, QC (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4259509359/", "queries": [ "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCohere\n\nMember of Technical Staff, Training Performance Engineer \n\n蒙特利尔, QC · 已转发的时间: 1 天前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Who are we?\n\nCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\nRole Overview\n\nAs a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization.\n\nThe team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing.\n\nNote: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.\n\nKey Responsibilities\n\nDesign and write high-performant and scalable software for training. \nUnderstand architectural modifications and design choices and their effects on training throughput and quality.\nWrite low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators.\nResearch, implement, and experiment with ideas on our supercompute and data infrastructure.\nLearn from and work with the best researchers in the field.\n\nQualifications\n\nExtremely strong software engineering skills.\nProficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.\nExperience writing kernels for GPUs using CUDA, triton, etc\nExperience using large-scale distributed training strategies.\nFamiliarity with autoregressive sequence models, such as Transformers.\n\nBonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).\n\nWorking location:\n\nThis role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.\n\nFull-Time Employees At Cohere Enjoy These Perks\n\nA weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\nFull health and dental benefits, including a separate budget for mental health.\nRRSP matching, 401K, Pension Scheme.\n100% Parental Leave top-up for up to 6 months, for either parent.\nAnnual enrichment benefits:\n\nArts & culture, fitness/wellness, quality time, and a workspace improvement credit.\n\nEducation & learning stipend for conferences, courses, and coaching.\n\n6 weeks of paid vacation (30 working days!)\nBudget for traveling to other offices if you are remote, plus an annual company offsite.\n\nHow And Where We Work\n\nCohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\nFor those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\nFor those not near an office: a co-working benefit so you can work alongside others in your city.\nEveryone receives a $500 home office stipend to set up your workspace properly.\n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply.\n\nWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.\n\nWe may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.\n\nBeware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.\n\nCompensation Range: CA$250K - CA$535K\n… 更多\n\n职位发布中说明的福利\n\n401(k)\n\n订阅相似职位\n\n性能工程师，加拿大 魁北克 蒙特利尔\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：蒙特利尔, QC (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "alignment" ], "neg": { "线下/混合办公": [ "in-office" ] }, "pos": [], "new": true }, { "id": "4471329663", "title": "DevOps Engineer AWS (m/f/d)", "company": "JustRelate", "location": "波兰 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471329663/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nJustRelate\n\nDevOps Engineer AWS (m/f/d) \n\n波兰 · 的时间: 48 分钟前 · 13 位申请者\n\n由招聘者推广 • 公司审核时间通常为 1 周\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存", "description": "At JustRelate, we help more than 4,000 organizations build outstanding digital customer experiences. Our AI-powered Customer Engagement Platform connects CRM, Marketing Automation, Web Builder, Email Builder, Analytics, CPQ, and Portals in one composable ecosystem.\n\nWith offices in France, Germany, and Poland, our 200+ experts work with enterprise customers and public institutions across Europe to deliver digital platforms that create measurable business value.\n\nYour role:\n\nYou will design, code, and debug interactive applications, and sometimes also fix what others developed.\nYou will help to migrate our software and services to AWS and utilize the AWS services ecosystem.\nYou will monitor and automate deployment tasks and be responsible for scalability and availability.\nYou will participate in our rotating on-call duty (approx. every 4 weeks)\nYou will maintain our microservice-based SaaS application in a Kubernetes environment, serving companies and organizations worldwide.\nYou will support our project development teams and communicate with colleagues.\nYou will work in an agile team.\n\nYour Skills:\n\nYou have a solid background in software development principles and working with large-scale software architectures.\nYou have experience with building software as part of a distributed test-driven agile.\nYou demonstrate the ability to build and maintain end-to-end CI/CD pipelines, automating testing, deployment, and rollbacks.\nYou have practical experience deploying and maintaining web applications within cloud services (especially AWS) and using their service-oriented offerings.\nYou have experience deploying and managing cloud infrastructure with Infrastructure as code using either AWS Cloudformation or Terraform.\nYou have working knowledge of Kubernetes orchestration. Experience installing, configuring, and managing services using Helm charts for repeatable deployments.\nYou are familiar with general web technologies (HTTP protocols, RESTful services, reverse proxies, and load balancing.).\nGood to have understanding of network infrastructure such as switches, routers, firewalls, VPN gateways, etc.\nYou actively use AI technologies for development and operations-related tasks.\nYour English language skills are at least intermediate, both written and spoken. Being able to communicate in German is a plus.\nYou have a high sense of responsibility and service awareness\nWe value strong communication skills and continuous self-improvement.\nEven if you don't have all the skills mentioned above, don't hesitate to apply.\n\nYour benefits:\n\nWork on challenging digital transformation projects for leading European organizations.\nJoin an experienced international team with offices in France, Germany, and Poland.\nFlexible remote and hybrid working options.\nContinuous learning, professional development, and language courses.\nModern equipment and collaborative working culture.\nInternational events and team activities.\nThe opportunity to shape one of Europe's leading AI-powered Customer Engagement Platforms.\n\n… 更多\n\n订阅相似职位\n\nDevOps Engineer AWS (m/f/d)，波兰\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "13", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：波兰 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 36, "reasons": [ "+10 Kubernetes", "+8 DevOps/CI", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4470842472", "title": "AI Native Founding Product and Platform Engineer", "company": "SGS", "location": "西雅图, WA (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470842472/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSGS\n\nAI Native Founding Product and Platform Engineer \n\n西雅图, WA · 的时间: 10 分钟前 · 3 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability.\n\nOur brand promise – “when you need to be sure” – underscores our commitment to trust, integrity and reliability, enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands, including Applied Technical Services, Brightsight, Bluesign and Nutrasource.\n\nJob Description\n\nWe're reimagining a legacy system from the ground up.\n\nAs the Founding Product & Platform Engineer, you'll define the architecture, tooling, engineering culture and development practices behind the next generation of SGS digital products. You'll be equally comfortable designing distributed systems, building customer-facing experiences, creating cloud platforms and writing production code.\n\nThis is not a traditional architect role. We are looking for a builder.\n\nYou'll lead by example, making key technical decisions through hands-on delivery rather than governance. You'll help create the products that drive business impact while establishing the platform capabilities, reusable services and engineering standards that allow a small team to deliver at scale.\n\nIf you're excited by greenfield environments, ambiguity, ownership and the opportunity to shape something from day one, we'd love to hear from you.\n\nThe Mission\n\nYour dual mission is to:\n\nBuild exceptional digital products:\n\nLead the architecture and delivery of our most ambitious customer-facing solutions, owning everything from frontend experiences to backend services and cloud infrastructure.\n\nBuild the engineering platform behind them:\n\nCreate the tooling, deployment pathways and reusable building blocks that allow engineers to move quickly, safely and independently.\n\nAs successful patterns emerge, you'll transform them into shared capabilities that accelerate delivery across the organisation.\n\nKey Responsibilities\n\nLead by Building: Act as the technical lead on our most important initiatives, architecting through code and setting the standard for engineering excellence. \nOwn the Full Stack: Design and develop solutions across frontend, backend, cloud infrastructure and deployment pipelines. \nBuild the Paved Road: Shape our platform (CI/CD, Kubernetes, IaC, observability) so other engineers ship faster and more safely. \nTurn Solutions into Reusable Capabilities: Identify successful patterns and convert them into shared services, frameworks, libraries and architectural standards\nMultiply Velocity: Continuously remove friction from the development lifecycle through automation, standardisation and thoughtful platform design. \nMentor and Influence: Partner with engineers, product leads and designers to raise technical standards and encourage a culture of pragmatic, high-quality delivery.\n\nQualifications\n\nWhat we’re looking for:\n\nFull Stack Mastery: Expert-level React/TypeScript on the frontend, and deep experience building distributed backends in Go, Python, or TypeScript. \nCloud & IaC: Hands-on, architectural-level experience with a major cloud (GCP, AWS) and Terraform. You don’t just use it; you architect with it. \nContainers & CI/CD: Strong knowledge of Docker, Kubernetes, and modern CI/CD pipelines built from scratch (GitHub Actions, GitLab CI). \nSystems Thinking: Proven ability to design scalable, resilient and observable systems. \nProduct Mindset: Experience working closely with Product and Design teams to deliver solutions that users genuinely value. \nObservability & Quality: Practical understanding of monitoring, tracing, testing and operational excellence, including tools such as Prometheus, Grafana and Jaeger. \n\n \n\nWho You Are\n\nYou have 10+ years of experience, with strong backgrounds in both product engineering and platform/SRE work. \nYou are a builder first. You don’t run architecture review boards; you write the code that makes them unnecessary. \nYou believe the best architecture is the simplest one that works, and that great products and great platforms are built by the same kind of mindset. \nYou measure your success by the velocity, autonomy, and pride of the engineers around you. \n\nAdditional Information\n\nWhy SGS?\n\nOpportunity to work with a global leader in inspection, verification, testing, and certification. \nCollaborative and inclusive work environment. \nCompetitive salary and benefits package. \nOpportunities for professional growth and development. \n\nJoin Us: At SGS, we are dedicated to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential.\n\n订阅相似职位\n\n平台工程师，美国 华盛顿州 西雅图\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "3", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：西雅图, WA (远程办公)，JD 未声明可全球", "salary_min": null, "score": 129, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": false }, { "id": "4471338316", "title": "Technical Leader", "company": "Alpha Bravo Development", "location": "河内首都地区 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471338316/", "queries": [ "LLM engineer @ Worldwide", "LLM engineer @ Asia", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Worldwide", "Golang backend engineer @ Asia", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAlpha Bravo Development\n\nTechnical Leader \n\n河内首都地区 · 的时间: 1 小时前 · 8 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存", "description": "About Alpha Bravo Development\n\nAlpha Bravo Development is a fast-growing US-based software development agency specializing in\n\nfully custom software solutions for service-based businesses. We help clients develop centralized\n\nplatforms that match each client’s unique workflow, giving them full ownership, customization, and\n\nlong-term cost efficiency.\n\nWith a strong reputation for quality, reliability, and innovation, we're expanding our global footprint and\n\nbuilding an elite development team in Vietnam to help drive our next phase of growth.\n\nPosition Overview\n\nWe are looking for a skilled and motivated Fullstack Developer to join our Vietnam engineering team.\n\nYou will collaborate closely with our US and international teams to build and maintain scalable, reliable,\n\nand secure infrastructure that supports our web and mobile applications.\n\nThis role is ideal for someone who is passionate about automation, thrives in a fast-paced environment,\n\nand is eager to contribute to the success of a growing global product team.\n\nKey Responsibilities\n\n• Design, develop, and maintain server-side logic, APIs, and database schemas.\n\n• Collaborate with frontend developers and project managers to implement new features.\n\n• Optimize application performance, scalability, and security.\n\n• Integrate with third-party platforms\n\n• Participate in code reviews and follow agile development practices.\n\n• Write clear documentation and maintain clean, reusable codebases.\n\n• Build responsive and dynamic frontend user interfaces using modern frameworks (React,\n\n• Next.js, etc.).\n\n• Collaborate with backend developers and designers to implement pixel-perfect features.\n\n• Optimize performance, accessibility, and cross-browser compatibility.\n\n• Maintain clean, modular code using industry best practices.\n\n• Participate in agile sprint planning, reviews, and code quality discussions.\n\n• Translate UI/UX designs into functional frontend components.\n\nRequirements\n\n● 5+ years of backend and frontend development experience (Prefer AI Engineer or Fullstack Tech Lead).\n\n● Proficiency in Node.js, Express, PostgreSQL, and MongoDB.\n\n● Strong proficiency in React.js, HTML5, CSS3, and JavaScript/TypeScript.\n\n● Experience building and documenting RESTful APIs.\n\n● Familiarity with AWS, Docker, or microservices architecture is a plus.\n\n● Strong understanding of software development life cycles and Git workflows.\n\n● Good written English communication skills.\n\nWhy Join Us\n\nLocation: Remote, Vnese and based in Vietnam. Salary range: upto 1400$ Net per month (We pay salary only. You will\n\nneed to cover your own taxes and insurance).\n\n● Work on exciting international projects with high-impact clients.\n\n● Competitive salary with performance-based bonuses.\n\n● Flexible work environment (hybrid or fully remote).\n\n● Opportunities for growth, mentorship, and career development.\n\n● Dynamic and innovative team culture.\n\nHow to Apply\n\nThis position requires working during the morning and evening shifts, with a break in the afternoon.\n\nTotal working time is around 6.5–7 hours per day. During working hours, screen recording is required,\n\nand candidates are expected to complete tasks according to the requirements.\n\nWe also have a test for this position. If you would like to proceed, please click the link below and\n\ncomplete the test within 2 hours (when you free, please complete the test) : https://shorturl.at/lHllL\n\nPlease send your updated CV back to this email after completing the test. Thank you!\n\nthu@alphabravodevelopment.com\n\n… 更多\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "8", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：河内首都地区 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 69, "reasons": [ "+15 React前端", "+12 TypeScript", "+8 Docker", "+8 MongoDB", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": "general", "ai_hits": [ "ai engineer" ], "neg": {}, "pos": [], "new": false }, { "id": "4472494178", "title": "Artificial Intelligence Engineer", "company": "Yara AI", "location": "美国 (远程办公)", "salary_text": "", "posted": "2 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472494178/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nYara AI\n\nArtificial Intelligence Engineer\n\n美国 · 的时间: 3 小时前 · 14 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n150K USD/yr - 400K USD/yr\n远程办公\n全职\n申请\n保存", "description": "About Yara\n\nYara is building the future of finding work. Most hiring tools are stuck in the 90s and AI is making it worse, not better. More spam, more noise, more generic outreach that wastes everyone's time. We're reworking how people find their next role with one profile that actually shows your work, smart matching that puts you in front of the right companies, and a real person on the other side who cares about getting it right.\n\nWe work with companies across AI, developer tools, consumer, fintech, and health tech, ranging from teams that have raised $1B+ with 3,000+ employees to earlier stage companies at $50M+ with 100+ employees. We've helped talent from Google, Apple, Palantir, Uber, and Ramp connect with companies like Vercel, Paraform, Abridge, and Parallel.\n\nAbout this role\n\nEvery company in the Yara Network is building with LLMs, and engineers who can take agents to production are the most requested profile we have. If you've built with models beyond the demo stage, with tools, evals, retrieval, and real users, this pipeline moves fast.\n\nWho this is for\n\nYou've shipped something LLM-powered that real people used, at work or on your own.\nYou know the difference between a wrapper and a system, because you've had to fix the wrapper.\nYou keep up. New models, new patterns, new tooling, weekly.\nYour agent work sits on real engineering fundamentals, and interviews confirm it.\nYou want to work at the companies defining this wave, from seed to scale.\n\nYou may be a good fit if you have\n\nProduction LLM integration: tool-calling, RAG, evals, observability\nStrong software fundamentals in TypeScript, Python, or Go\nShipped agentic products or serious agentic side projects\nExperience at a startup or high-bar engineering org is a plus\nLinks to anything agentic you've built\n\nIf we don't move forward together, you can still use your Yara to list your work, browse millions of roles, manage your job search, and stay in our network for when something new comes up.\n\nThis is a Yara Network Application. Apply once and get matched across our partner companies.\n\n… 更多", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 70, "reasons": [ "+20 Python后端", "+12 TypeScript", "+15 Go语言", "+8 DevOps/CI", "+15 AI/LLM/评测" ], "tier": "agent", "ai_hits": [ "agentic", "rag", "evals" ], "neg": {}, "pos": [], "new": false }, { "id": "4471322327", "title": "Python Techlead (AI-Augmented Development)", "company": "NSC Software", "location": "越南 (远程办公)", "salary_text": "", "posted": "", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471322327/", "queries": [ "LLM engineer @ Worldwide", "LLM engineer @ Asia", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Worldwide", "Golang backend engineer @ Asia", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nNSC Software\n\nPython Techlead (AI-Augmented Development)\n\n越南 · 的时间: 3 小时前 · 13 位申请者\n\n公司审核时间通常为 1 周\n\n远程办公\n全职\n快速申请\n保存", "description": "Job Description \n\nResponsibilities \n\nAs a Senior Python Backend Engineer at NSC, you will have the opportunity to work remotely, with fixed working hours from 3PM to 11PM Vietnam time (the rest is flexible). \n\nWe are looking for a Senior Python Backend Engineer to join the development of a modern enterprise platform. You will build new product features, modernize an existing Python codebase, and collaborate closely with architects to deliver scalable, secure, and maintainable backend solutions.\n\nThis role is ideal for engineers who enjoy solving complex technical challenges, improving software architecture, and leveraging AI tools to enhance development productivity.\n\nMain responsibilities \n\n1. Product Development\n\nDesign and develop new backend modules from technical specifications through production deployment.\nTranslate business requirements into technical solutions, including APIs, data models, workflows, and permission models.\nDevelop RESTful services following clean architecture principles and engineering best practices.\nCollaborate with frontend and platform teams to deliver end-to-end product features.\n\n2. Platform Modernization\n\nRefactor and modernize an existing Python/Flask application into a scalable, maintainable architecture.\nImprove code quality by reducing technical debt, simplifying legacy components, and strengthening automated test coverage.\nDeliver large-scale refactoring safely through regression testing and incremental releases.\n\n3. Quality & Security\n\nReview application code, including AI-generated code, to ensure quality, security, and architectural consistency.\nDesign secure authentication, authorization, and session management solutions.\nPrepare technical documentation, deployment notes, and architecture documentation.\nWork closely with engineering teams to ensure reliable deployments and operational stability.\n\nJob Requirements \n\n8+ years of backend software development experience with strong expertise in Python.\nHands-on experience with Flask or similar Python web frameworks.\nStrong knowledge of:\n\n - RESTful API design and development\n\n - Authentication, authorization, and web security\n\n - Relational databases and ORM\n\n - Background job processing (Celery or equivalent)\n\n - Software architecture, clean architecture, dependency injection, and design patterns\n\n - Automated testing, code review, and large-scale refactoring\n\nExperience with PostgreSQL, Redis, Docker, and Kubernetes.\nFamiliarity with AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or similar, with the ability to review and validate AI-generated code.\nStrong problem-solving skills with the ability to translate business requirements into scalable technical solutions.\nExperience working on complex enterprise systems with a strong focus on code quality, maintainability, and security.\n\nNice-to-have\n\nExperience modernizing legacy enterprise applications.\nExperience collaborating with Solution Architects or Technical Leads.\nStrong understanding of secure software development practices.\nExperience working in Agile environments and cross-functional teams.\n\nBenefits \n\nCompetitive salary of up to 3000 USD/month (negotiable)\nAttractive Benefits: social insurance from probation period, private healthcare insurance, quarterly bonding, summer trip, company trip,...\nRemote work arrangement, allowing for flexibility and comfort. \nChance to enhance English language skills through interaction with native speakers.\nOpportunity to work within a professional and multicultural environment.\n… 更多\n\n订阅相似职位\n\n开发专员，越南\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "13", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：越南 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 75, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 Docker", "+6 Redis", "+6 消息队列", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "copilot" ], "neg": {}, "pos": [], "new": false }, { "id": "4472485386", "title": "AI Quality Engineer", "company": "Dealstitch AI", "location": "美国 (远程办公)", "salary_text": "", "posted": "3 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472485386/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nDealstitch AI\n\nAI Quality Engineer\n\n美国 · 的时间: 3 小时前 · 46 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About The Role\n\nAn agent that demos well is not the same as an agent that works in production, so every agent we ship is backed by evals. We're hiring an AI Quality Engineer to own that system. You'll run and extend the evaluation pipelines that prove our agents work, both in client engagements and across our own internal agent fleet, and keep them honest as the agents, models, and data underneath them change.\n\nWhat you'll do\n\nOwn the evaluation pipelines that gate every change we ship, keeping them automated and running in CI/CD rather than leaning on manual spot-checks.\nKeep agents scored at the step level, not just the final answer, across tool selection, planning and reasoning chains, and retrieval quality, so subtle regressions surface before clients do.\nExtend the eval toolkit as new failure modes appear: LLM-as-a-judge, RAG faithfulness and relevance, hallucination detection, prompt and agent regression suites, and red-teaming for safety.\nMaintain the golden datasets that mirror real production inputs and the tracing and observability that watch our agents once they are live.\nOwn the quality bar for what ships and raise it over time with the rest of the engineering team.\n\nWhat we're looking for\n\nStrong software engineering with Python, and a feel for testing non-deterministic systems, where classic assertion-based tests are not enough.\nExperience evaluating LLM and agent systems: agent graphs (e.g. LangGraph), eval frameworks (DeepEval, RAGAS, G-Eval, LangSmith, or similar), and LLM-as-a-judge methods.\nFluency with RAG and retrieval quality, plus observability and tracing for agents in production.\nA bias for measurement: you define what \"good\" means, then build the harness that proves it.\nBonus: data-pipeline testing experience, or exposure to private markets, financial services, or enterprise data.\n\nWhy Dealstitch\n\nWe're a senior team with 40+ years of combined private-market technology experience. You'll work on problems that matter, with direct access to decision-makers, and see the impact of your work in weeks, not quarters.\n… 更多\n\n订阅相似职位\n\n质量工程师，美国\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "langgraph", "rag", "evals", "evaluation", "red-teaming", "hallucination" ], "neg": {}, "pos": [], "new": false }, { "id": "4466101093", "title": "Architect, Cybersecurity, Identity Security - Remote", "company": "Stryker", "location": "美国 (远程办公)", "salary_text": "", "posted": "3 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4466101093/", "queries": [ "LLM engineer @ Worldwide", "AI agent engineer @ Worldwide", "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nStryker\n\nArchitect, Cybersecurity, Identity Security - Remote \n\n美国 · 已转发的时间: 3 小时前 · 超过 100 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\nPoonam Rana \n\n• 3度+\n\nDirector, Workplace Practices APAC | Stryker\n\n来自腾讯的前公司同事\n\n加为好友", "description": "Preference will be given to candidates residing in the Eastern or Central time zones.\n\nAs an Identity Security Architect, you will design and govern enterprise identity and access management solutions that protect organizational assets while enabling secure access to business systems and applications. You will serve as the technical authority for identity security and partner with cybersecurity, infrastructure, cloud, application, enterprise architecture, security operations, and business teams across on-premises and cloud environments.\n\nWhat you will do:\n\nTechnical Responsibilities:\n\nDesign and maintain enterprise identity security architecture, standards, and reference designs.\n\nDevelop identity strategies that support Zero Trust Architecture and enterprise digital transformation.\n\nArchitect authentication, authorization, federation, single sign-on (SSO), multi-factor authentication (MFA), and identity lifecycle management solutions.\n\nLead architecture reviews for IAM projects, cloud implementations, and business applications.\n\nDesign and govern Privileged Access Management (PAM) solutions and privileged identity controls.\n\nIntegrate identity security controls with Infrastructure, Cloud Engineering, Enterprise Architecture, Application Development, and Security Operations teams.\n\nDevelop identity governance processes for role-based access control (RBAC), least privilege, segregation of duties (SoD), and access certification.\n\nConduct identity threat modeling, architecture risk assessments, and security design reviews.\n\nEvaluate emerging identity technologies and recommend architectural improvements.\n\nSupport compliance with NIST CSF, ISO 27001, HIPAA, SOX, FDA Cybersecurity Guidance, and applicable regulatory requirements.\n\nDevelop architecture documentation, technical standards, implementation guidance, and operating procedures.\n\nLeadership & People Management Responsibilities:\n\nProvide technical leadership and mentorship to engineering teams implementing identity security capabilities.\n\nKnowledge and Capabilities:\n\nAnalyze complex identity security challenges and translate findings into practical architecture decisions.\n\nDesign enterprise identity architectures that connect security requirements, business needs, and technology capabilities.\n\nCommunicate identity architecture standards, risks, and implementation guidance to technical and business partners.\n\nWhat You Need:\n\nRequired Qualifications\n\nBachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or a related discipline.\nMinimum 8 years of experience in cybersecurity or identity management.\nMinimum 3 years of experience designing enterprise IAM architectures.\nExperience implementing SSO, MFA, PAM, Identity Governance and Administration (IGA), and directory services.\nExperience with Microsoft Entra ID, Active Directory, Okta, Ping Identity, SailPoint, CyberArk, Delinea, or similar technologies, including cloud identity security across Azure, AWS, or Google Cloud.\n\nPosted Date: 09/14/2026 This role will be posted for a minimum of 3 days.\n\nUnited States of America Pay Ranges:\n\nUSN: $135,600 - $225,900 USD Annual\nUS5: $142,400 - $237,200 USD Annual\nUS10: $149,200 - $248,500 USD Annual\nUS15: $155,900 - $259,800 USD Annual\nUS20: $162,700 - $271,100 USD Annual\nUS30: $176,300 - $293,700 USD Annual\n\nView the U.S. work location and transparency guide to find the pay range for your location.\n\nHealth benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.\n\n… 更多\n\n职位发布中说明的福利\n\nVision insurance, Dental insurance, 401(k), Disability insurance\n\n订阅相似职位\n\nArchitect, Cybersecurity, Identity Security - Remote，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 10, "reasons": [ "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4471314764", "title": "Remote Devops (Kubernetes, Linux) | tiếng anh tốt", "company": "Hunt-INN", "location": "河内首都地区 (远程办公)", "salary_text": "", "posted": "", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471314764/", "queries": [ "LLM engineer @ Worldwide", "LLM engineer @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nHunt-INN\n\nRemote Devops (Kubernetes, Linux) | tiếng anh tốt\n\n河内首都地区 · 的时间: 4 小时前 · 5 位申请者\n\n公司审核时间通常为 1 周\n\n远程办公\n全职\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nNhung Nguyen (Jade) \n\n• 3度+\n\nUrgent, IT global job| Technical Recruiter\n\n职位发布者\n\n发消息", "description": "DevOps Engineer | 45M gross\n\nMind Supernova | Remote | Full-time / Contract\n\nType working: Remote Fulltime (8am - 5pm) | Minimum 4 hours AEST overlap\n\nDomain: telecom _ Australia \n\nInterview processing: 2Rounds | Internal Interviewing - Client checking\n\nRequired: English Fluent (~7.0)\n\nAbout the Role\n\nMind Supernova is looking for a DevOps Engineer to join our engineering team and support the reliability and observability of a large-scale, consolidated on-premise Kubernetes platform in an Australian telecommunications environment.\n\nThis role is strongly focused on SRE, platform reliability, monitoring, observability, and uptime, rather than traditional CI/CD-only DevOps work.\n\nKey Responsibilities\nEnsure high availability, reliability, and performance of Linux and Kubernetes platforms.\nBuild and manage monitoring, logging, alerting, and observability solutions.\nImplement Prometheus, Grafana, ELK/EFK, or similar observability stacks.\nMonitor platform health, capacity, performance, and reliability.\nWork closely with Platform Engineers to troubleshoot infrastructure and Kubernetes issues.\nAutomate operational tasks and reduce manual operational toil using SRE practices.\nSupport incident response, root-cause analysis, and reliability improvements.\nMaintain CI/CD pipelines and infrastructure automation where required.\nImplement infrastructure security hardening and operational best practices.\nTechnical RequirementsMust Have\n3+ years of hands-on Linux system administration in production.\nStrong experience with Linux environments such as RHEL, CentOS, Debian, Ubuntu.\nProduction experience with Docker.\nExperience deploying and operating Kubernetes clusters in production.\nStrong understanding of Kubernetes networking and troubleshooting.\nExperience with Kubernetes monitoring, logging, and observability.\nStrong knowledge of Prometheus, Grafana, ELK/EFK, or similar tools.\nExperience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI.\nExperience with Terraform or similar Infrastructure-as-Code tools.\nStrong understanding of infrastructure security and production operations.\nNice to Have\nExperience with SUSE Linux and on-premise Kubernetes.\nExperience with Kubernetes ingress controllers, service meshes, and network policies.\nExperience with distributed tracing and advanced observability.\nExperience with AWS environments and network segmentation.\nExperience with firewalls, VPNs, WAF, and network security.\nExperience implementing automated testing within CI/CD pipelines.\nExperience with SRE practices, SLIs, SLOs, SLAs, and error budgets.\nPre-Screening Questions\nAre you available to start within the next 4 weeks?\nCan you work with at least 4 hours overlap with AEST?\nDo you have 3+ years of production Linux administration experience?\nHave you managed the full Linux server lifecycle, including provisioning, patching, and decommissioning?\nDo you have 2+ years of production Docker experience?\nHave you deployed and managed production Kubernetes clusters?\nDo you have experience with Kubernetes networking and observability?\nHave you built monitoring stacks using Prometheus, Grafana, ELK/EFK, or similar?\nHave you managed CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar?\nDo you have hands-on experience with Terraform or other IaC tools?\nDo you have experience with infrastructure security hardening, firewalls, VPNs, or WAF?\nHave you worked with on-premise Linux/Kubernetes environments?\nHave you applied SRE principles to improve platform reliability and reduce operational toil?\nIdeal Candidate\n\nWe are looking for a DevOps/SRE engineer who is highly focused on production reliability rather than simply building deployment pipelines.\n\nThe ideal candidate can operate Linux and Kubernetes platforms, build strong observability systems, troubleshoot production incidents, automate operational work, and work closely with infrastructure engineers to maintain a highly available platform\n… 更多\n\n订阅相似职位\n\nDevOps专员，河内首都地区\n\n关", "applicants": "5", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：河内首都地区 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 34, "reasons": [ "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+8 分布式/微服务" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4471326224", "title": "Machine Learning or Generative AI Engineer [English Fluent]", "company": "VMO", "location": "越南 (远程办公)", "salary_text": "", "posted": "", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471326224/", "queries": [ "LLM engineer @ Worldwide", "LLM engineer @ Asia", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Worldwide", "Golang backend engineer @ Asia", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nVMO\n\nMachine Learning or Generative AI Engineer [English Fluent] \n\n越南 · 的时间: 4 小时前 · 19 位申请者\n\n尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nQuốc Trần (Kelvin) \n\n• 3度+\n\nTalent Acquisition Specialist | Hiring IT (Frontend, Backend, Fullstack,...) and Non-IT (Sales ITO, AM...) | Embracing new challenges\n\n职位发布者\n\n发消息", "description": "Location: Hanoi, Vietnam\n\nWorking Mode: Hybrid or Full-time in Office\n\nEnglish: Fluent communication\n\nAbout the Role\n\nWe are looking for Data Scientists specialized in Machine Learning and Generative AI to join an international Health Technology & Analytics environment.\nYou will work with large-scale financial, clinical, operational, and behavioral data to develop data-driven solutions that support better healthcare outcomes, business decisions, and operational efficiency across Asia.\n\nWe are currently hiring for two Data Scientist tracks:\n\n1. Data Scientist – Machine Learning\n\nKey Responsibilities\n\nDevelop end-to-end ML models using traditional Machine Learning, Time Series, and Deep Learning techniques.\nAnalyze complex datasets and translate business problems into practical AI/DS solutions.\nBuild and optimize production-grade models.\nEvaluate model performance and translate results into actionable business insights.\nCollaborate with business and technical stakeholders throughout the solution lifecycle.\nExplore the use of Agentic AI to enhance data science workflows, such as EDA Agents, Insights Agents, and Model Monitoring Agents.\n\nRequirements\n\n5+ years of experience in Data Science / Machine Learning.\nStrong experience in Machine Learning, Predictive Analytics, Time Series, and/or Deep Learning.\nExcellent Python and PySpark skills.\nExperience developing production-grade ML models.\nStrong business understanding and problem-solving skills.\nAbility to communicate complex technical concepts clearly to business and technical stakeholders.\nExperience with vibe coding / AI-assisted development is a plus.\nHealthcare experience is highly desirable.\n\n2. Data Scientist – Generative AI\n\nKey Responsibilities\n\nDevelop end-to-end Generative AI solutions and workflows.\nApply Prompt Engineering, LLM, RAG, NLP, and Agentic AI to business problems.\nDevelop and apply NLP, Transformer, and Deep Learning models.\nBuild production-grade AI solutions and evaluate their business impact.\nWork with business and technical stakeholders to translate complex requirements into practical AI solutions.\nIndependently drive GenAI use cases from development to real-world application.\n\nRequirements\n\n3+ years of experience in Data Science / AI and 2+ years of hands-on experience with Generative AI, including Prompt Engineering and end-to-end GenAI workflows.\nStrong background in NLP, Transformers, and Deep Learning.\nExcellent Python and PySpark skills.\nPractical experience with LLM, RAG, GenAI, Agentic AI, or NLP solutions.\nStrong business understanding and problem-solving skills.\nAbility to clearly communicate technical concepts to business and technical stakeholders.\nHealthcare experience is highly desirable.\nNice to HaveExperience with Azure / Azure AI / Azure OpenAI.\nExperience working with large-scale, database-oriented systems.\nExperience applying AI/ML to real-world business environments.\nExperience in Healthcare, Insurance, or Wellness domains.\n\nBenefits\n\nSalary open to nego upto 60M\nReview salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year\nPolicy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.\nHoliday travel mode (package 5-7 million/person), team building,...\nFull participation in social insurance, as well as a yearly health checkup at a reputable hospital.\nComprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.\nThe football club, cycling car, badminton, ... are just a few of the sports and cultural activities available.\nAllowance for classes and training awards: Learning Star of the Month,\nA chance to be the face of the year's study, the royalties\n\nIf you're looking for a new Job, please do not hesitate to contact to me:\n\nMail: quoctp@vmogroup.com\nPhone/ Call/ Zalo: 0386710976\n… 更多\n\n订阅相似职位\n\nMachine Learning or Generative AI Engineer [English Fluent]，越南\n\n关", "applicants": "19", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：越南 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 35, "reasons": [ "+20 Python后端", "+15 AI/LLM/评测" ], "tier": "agent", "ai_hits": [ "agentic", "rag" ], "neg": { "线下/混合办公": [ "in Office" ] }, "pos": [], "new": false }, { "id": "4422890623", "title": "Quantitative Developer - Crypto / Market Making / DeFi", "company": "PancakeSwap", "location": "香港特别行政区 (远程办公)", "salary_text": "", "posted": "", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4422890623/", "queries": [ "LLM engineer @ Worldwide", "LLM engineer @ Asia", "AI agent engineer @ Asia", "AI infrastructure engineer @ Worldwide", "AI infrastructure engineer @ Asia", "AI agent engineer @ Worldwide", "Python backend engineer @ Asia", "MCP agent @ Asia", "Platform engineer Kubernetes @ Worldwide", "AI evaluation engineer @ Asia", "Golang backend engineer @ Asia", "AI evaluation engineer @ Worldwide", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia", "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nPancakeSwap\n\nQuantitative Developer - Crypto / Market Making / DeFi\n\n香港特别行政区 · 已转发的时间: 5 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 7 项技能\n快速申请\n保存\n人脉推荐\n\nYixiang Ning\n\n• 3度+\n\nweb3 Backed developer\n\n来自腾讯的前公司同事\n\n加为好友", "description": "About Us\n\nPancakeSwap is the world’s #1 decentralized exchange, having processed more than $2 trillion in trading volume, with over 35 million unique users across 10 blockchains. It enables users to swap crypto tokens, provide liquidity to earn fees, stake, and participate in yield farming without a centralized intermediary.\n\nRole Overview\n\nWe are looking for a Quant Developer with experience in AMM liquidity provision and crypto market making to design and implement trading and risk strategies behind our PropAMM system.\n\nThis role sits at the intersection of quantitative research, DeFi protocol design, and trading infrastructure, helping connect on-chain liquidity with other exchange markets.\n\nResponsibilities\n\nDesign and implement pricing and liquidity strategies for PropAMM pools\nDevelop spread models, liquidity depth allocation, and volatility-based adjustments\nBuild inventory management frameworks to control token exposure\nDesign delta-neutral hedging strategies\nIntegrate real-time order book data into pricing models\nBacktest liquidity strategies and simulate trading performance\nOptimize pricing and liquidity to maximize volume while minimizing risk\n\nRequirements\n\n4+ years of experience in quant trading, crypto market making, or DeFi liquidity provision\nStrong understanding of AMM mechanics, arbitrage dynamics, and liquidity pools\nExperience with CEX hedging strategies and DEX liquidity provision\nStrong programming skills in Python, Rust, or C++\nExperience building real-time trading or market data systems\n\nNice to Have\n\nBackground in DeFi market making or crypto trading firms\nFamiliarity with aggregator routing and on-chain trading mechanics\n… 更多\n\n订阅相似职位\n\n量化开发师，香港特别行政区\n\n关", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：香港特别行政区 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 35, "reasons": [ "+20 Python后端", "+15 AI/LLM/评测" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4471302989", "title": "Senior Software Engineer (Go)", "company": "Megaport", "location": "Australia and New Zealand (远程办公)", "salary_text": "", "posted": "5 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471302989/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nMegaport\n\nSenior Software Engineer (Go) \n\nAustralia and New Zealand · 的时间: 5 小时前 · 4 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n0 项技能匹配，共 8 项技能\n申请\n保存\n人脉推荐\n\n了解招聘团队\n\nStella Boomert \n\n• 3度+\n\nTalent Acquisition Specialist @ Megaport (ASX:MP1) | People Enthusiast\n\n职位发布者\n\n发消息", "description": "Your Role \n\nCome join us as a key contributor in improving Megaport’s internal developer experience. Sitting within the Platform Engineering team, as a Go developer, you will design, develop, and maintain the tools and APIs that power our engineering organization.\n\nYou will focus on building robust, Go-based backend services and CLI tooling that automate operational workflows, streamline access management, and ensure our systems adhere to global engineering standards at scale.\n\nOnly candidates residing in Australia or New Zealand will be considered for this role.\n\nAbout Megaport\n\nWe’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.\n\nOur Team Culture\n\nWe’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.\n\nWe’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.\n\nWhat You'll Be Doing\n\nDevelop Internal Developer Tooling: Build high-performance Go-based APIs, microservices, and CLI tools that reduce friction, automate manual processes, and enhance productivity for our engineering teams.\nEngineer Scalable Automation: Design and implement systems that orchestrate workflows between our systems of record, SaaS platforms, and internal infrastructure.\nImplement Governance-as-Code: Design and maintain automated systems for repository and service oversight, ensuring our engineering ecosystem remains consistent, secure, and aligned with organizational standards as we scale.\nBuild Self-Service Infrastructure: Create and maintain the automated interfaces and abstractions that allow teams to request and manage infrastructure resources securely without Platform team intervention.\nOperate and Optimize: Collaborate with cross-functional teams to design, deploy, and maintain reliable, Go-based backend systems hosted on Kubernetes/EKS. Take ownership of performance profiling and tuning to ensure platform responsiveness and reliability.\n\nWhat We Are Looking For\n\nProven professional experience as a Backend Engineer using Go.\nBachelor's degree in Computer Science, Engineering, or equivalent professional experience.\nDemonstrated experience with building services on top of Kubernetes.\nSolid knowledge of scalable web service development, including RESTful APIs, microservices architecture, and distributed systems.\nStrong proficiency in designing and consuming APIs, including managing authentication and authorization protocols.\nProficiency in database management, with hands-on experience in optimizing database performance, designing schemas, and query optimization.\nStrong problem-solving skills and ability to deliver high-quality code in a fast-paced environment.\nExperience with performance profiling and debugging tools to optimize system performance.\nExperience managing infrastructure on AWS and working with GitHub as a core platform.\nSolid understanding of version control systems (Git) and continuous integration/delivery.\nExcellent communication and collaboration skills to work effectively in a team-oriented environment.\nExperience building internal developer-facing tools or CLI applications.\nPassion for 'Platform as a Product'—you enjoy identifying bottlenecks in the developer lifecycle and building automated solutions to solve them.\n\nWhat We Offer\n\nFlexible working environment – a remote-first culture with coworking options available\nGenerous leave plans – including, parental leave, birthday leave, and a purchased annual leave program\nHealth and wellness support – through a wellness allowance and employee wellbeing initiatives\nComprehensive learning support – generous study and training allowance plus paid study leave\nCreative, modern workspaces – designed to inspire when you're not working remotely, plus access to coworking spaces via our global WeWork membership if you work remotely, but like to get out of the house sometimes\nMotivated, inclusive team – work alongside industry experts and fresh talent\nRecognition programs – celebrate achievements with our Legend and Kudos award\n\nIf you have any questions, please reach out to Megaport's Talent Acquisition Team at Careers@megaport.com\n\nNOTE: All Megaport business correspondence is conducted via our business email accounts (@megaport.com). If you have any concerns, please reach out to Megaport's careers team careers@megaport.com directly and we will verify the legitimacy of any communication. Megaport will not ask you to create an account via Microsoft teams, and does not associate with any email accounts under \"@megaportau.com\".\n\nAll applications will be treated in confidence.\n\nPlease see Part 2 of our Privacy Policy to see what information Megaport collects from job applicants, why, and how we store and use it. Note that you’re entitled to know what personal data of yours Megaport holds, to request updates, rectification, and in some circumstances restriction or deletion thereof if you object (you being entitled to withdraw your consent to our holding your information at any time). Please see Part 5 of our Privacy Policy for more details on this and how to contact Megaport's data protection officer if you have any further privacy-related questions. Candidates who meet the selection criteria will be invited to attend an interview. Strictly no Recruitment Agencies.\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\n\n… 更多\n\n订阅相似职位\n\nSenior Software Engineer (Go)，Australia and New Zealand\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：Australia and New Zealand (远程办公)，JD 未声明可全球", "salary_min": null, "score": 58, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4472288489", "title": "Staff AI Compiler Engineer (Hybrid-2 days office/3 days -home)", "company": "EnCharge AI", "location": "班加罗尔地区 (远程办公)", "salary_text": "", "posted": "", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4472288489/", "queries": [ "LLM engineer @ Worldwide", "AI agent engineer @ Asia", "AI agent engineer @ Worldwide", "MCP agent @ Asia", "AI evaluation engineer @ Asia", "Golang backend engineer @ Asia", "AI evaluation engineer @ Worldwide", "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nEnCharge AI\n\nStaff AI Compiler Engineer (Hybrid-2 days office/3 days -home) \n\n班加罗尔地区 · 已转发的时间: 6 小时前 · 44 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nUday Bhaskar \n\n• 3度+\n\nCEO at Mulya Technologies | Best Hiring Partner for intel (India) in 2021\n\n职位发布者\n\n发消息", "description": "www.enchargeai.com\n\nAI Compiler Engineer-Staff/Principal\n\nLocations: Bangalore (Hybrid) Staff AI Compiler Engineer (Hybrid-2 days office/3 days -home)/Remote\n\nThe 10 Hottest Semiconductor Startups Of 2025 (So Far)\n\nhttps://www.crn.com/news/components-peripherals/2025/the-10-hottest-semiconductor-startups-of-2025-so-far?page=11\n\nhttps://www.enchargeai.com/blog/the-efficiency-imperative-energy-will-define-ais-next-chapter\n\nAbout EnCharge AI:\n\nAI Compiler Engineer\n\nEnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.\n\nAbout the Role\n\nEnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators.\n\nResponsibilities\n\nArchitect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization.\nWork closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges.\nWork on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations.\nDevelop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR).\nImplement parsing, semantic analysis, and IR generation for deep learning frameworks.\nResearch and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers.\nProvide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations.\n\nQualifications\n\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (Ph.D. preferred).\n7-10 years in compiler development, with a strong focus on AI or ML graph compilers.\nProficiency in AI graph compiler frameworks (e.g., MLIR, Torch-FX)\nSolid background in hardware architectures (e.g., GPUs, TPUs, ASICs) and optimization techniques such as fusion, quantization, and tiling.\nFamiliarity with neural networks operators and code generation.\nStrong understanding of intermediate representations, code parsing, and semantic analysis in compiler design.\nProficiency in C++, Python, or other programming languages commonly used in compiler development.\nOpen-source contributions to AI software frameworks and libraries is a plus\nDemonstrated experience leading and mentoring engineering teams with successful project delivery\n\nskills\nMLIR\nPytorch\ncompilers\n\"graph compilers\"\nTorch-Fx\n\"hardware Architecture\"\nGPU\nTPU\nNPU\n\"Neural networks\"\ntensorflow\nAI\nML\nDL\n\nContact:\n\nUday\n\nMulya Technologies\n\nmuday_bhaskar@yahoo.com\n\n\"Mining The Knowledge Community\"\n\n… 更多", "applicants": "44", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：班加罗尔地区 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 30, "reasons": [ "+20 Python后端", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": { "线下/混合办公": [ "标题: Staff AI Compiler Engineer (Hybrid-2 day" ] }, "pos": [], "new": false }, { "id": "4471096937", "title": "Senior Software Engineer", "company": "Haystack", "location": "德国 (远程办公)", "salary_text": "", "posted": "7 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471096937/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nHaystack\n\nSenior Software Engineer \n\n德国 · 的时间: 8 小时前 · 9 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "We're hiring on behalf of a Haystack partner!\n\nThe Role\n\n• Spend approximately 70% of your time on hands-on development in production code.\n\n• Dedicate the remaining time to team leadership, including code reviews, pairing, and unblocking team members.\n\n• Drive the establishment of team standards, processes, documentation, and a robust review culture.\n\n• Ensure predictable delivery and high-quality output within the team.\n\n• Support two developers transitioning to PHP backend development.\n\n• Collaborate closely with the CTO/Architect on architecture and project direction.\n\nWhat You'll Need\n\n• Several years of production experience with a strong senior developer background.\n\n• Proficient in at least one backend language, with a willingness to work with PHP.\n\n• Proven ability to lead technically through mentorship and example, rather than authority.\n\n• Desire to grow into a technical lead role; prior lead experience is a plus.\n\n• Fluency in German (B2/C1 level) is mandatory for team collaboration.\n\n• Experience with event-driven systems (Kafka/Redis Streams) and Linux/NixOS is beneficial.\n\nWhat's On Offer\n\n• Competitive salary.\n\n• Significant impact in a small, visible team where your standards shape development practices.\n\n• Opportunity to grow into a lead role, influencing team processes and quality.\n\n• Collaboration with a CTO/Architect and a diverse engineering team.\n\nApply via Haystack today!\n\n… 更多\n\n订阅相似职位\n\n软件工程师，德国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 16, "reasons": [ "+6 Redis", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4470812848", "title": "SENIOR MACHINE LEARNING ENGINEER AT CARBON MAPPER (REMOTE)", "company": "Women in Cleantech and Sustainability", "location": "美国 (远程办公)", "salary_text": "", "posted": "9 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470812848/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nWomen in Cleantech and Sustainability\n\nSENIOR MACHINE LEARNING ENGINEER AT CARBON MAPPER (REMOTE)\n\n美国 · 的时间: 9 小时前 · 37 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Senior Machine Learning Engineer | Carbon Mapper | Remote\n\nAs a Senior Machine Learning Engineer on our Data Operations team, you’ll help ensure our core data products meet a reliable baseline of quality, latency, and cost as we scale. You’ll use operational metrics to pinpoint bottlenecks and quality gaps, then partner with peer teams to fix them through machine learning, automation, and process improvement. You’ll bring deep ML expertise to a domain-heavy problem space (remote sensing, plume detection, and infrastructure mapping) and connect that expertise directly to the operational outcomes our data products depend on.\n\nEssential Duties And Responsibilities\n\nDesign, develop, and deploy deep learning and machine learning models for remote sensing imagery analysis, classification, and segmentation. Applications include plume detection, hyperspectral data processing, and infrastructure mapping.\nIdentify and integrate remote sensing and other spatial datasets (RGB imagery, basemaps, weather data, GIS inventories) to develop and improve models, using AI-assisted tooling to accelerate data exploration and profiling.\nBring current best practices in remote sensing and machine learning to cross-functional discussions on product design and implementation.\nMentor and provide technical guidance to less experienced team members, fostering skill development in ML, data engineering, and remote sensing across the Data Operations team.\nLead significant data-quality initiatives end-to-end, from problem definition through deployment, collaborating with members of the Data Operations, Science, and Engineering teams.\nDesign and build automation and tooling that reduce manual effort and improve the consistency and throughput of core data products.\n\nLearn more and apply\n… 更多\n\n订阅相似职位\n\n机器学习工程师，美国\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 10, "reasons": [ "+10 高级职位" ], "tier": "general", "ai_hits": [ "machine learning" ], "neg": {}, "pos": [], "new": false }, { "id": "4470841462", "title": "AI Native Founding Product and Platform Engineer", "company": "SGS", "location": "海沃德, CA (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470841462/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSGS\n\nAI Native Founding Product and Platform Engineer \n\n海沃德, CA · 的时间: 55 分钟前 · 2 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability.\n\nOur brand promise – “when you need to be sure” – underscores our commitment to trust, integrity and reliability, enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands, including Applied Technical Services, Brightsight, Bluesign and Nutrasource.\n\nJob Description\n\nWe're reimagining a legacy system from the ground up.\n\nAs the Founding Product & Platform Engineer, you'll define the architecture, tooling, engineering culture and development practices behind the next generation of SGS digital products. You'll be equally comfortable designing distributed systems, building customer-facing experiences, creating cloud platforms and writing production code.\n\nThis is not a traditional architect role. We are looking for a builder.\n\nYou'll lead by example, making key technical decisions through hands-on delivery rather than governance. You'll help create the products that drive business impact while establishing the platform capabilities, reusable services and engineering standards that allow a small team to deliver at scale.\n\nIf you're excited by greenfield environments, ambiguity, ownership and the opportunity to shape something from day one, we'd love to hear from you.\n\nThe Mission\n\nYour dual mission is to:\n\nBuild exceptional digital products:\n\nLead the architecture and delivery of our most ambitious customer-facing solutions, owning everything from frontend experiences to backend services and cloud infrastructure.\n\nBuild the engineering platform behind them:\n\nCreate the tooling, deployment pathways and reusable building blocks that allow engineers to move quickly, safely and independently.\n\nAs successful patterns emerge, you'll transform them into shared capabilities that accelerate delivery across the organisation.\n\nKey Responsibilities\n\nLead by Building: Act as the technical lead on our most important initiatives, architecting through code and setting the standard for engineering excellence. \nOwn the Full Stack: Design and develop solutions across frontend, backend, cloud infrastructure and deployment pipelines. \nBuild the Paved Road: Shape our platform (CI/CD, Kubernetes, IaC, observability) so other engineers ship faster and more safely. \nTurn Solutions into Reusable Capabilities: Identify successful patterns and convert them into shared services, frameworks, libraries and architectural standards\nMultiply Velocity: Continuously remove friction from the development lifecycle through automation, standardisation and thoughtful platform design. \nMentor and Influence: Partner with engineers, product leads and designers to raise technical standards and encourage a culture of pragmatic, high-quality delivery.\n\nQualifications\n\nWhat we’re looking for:\n\nFull Stack Mastery: Expert-level React/TypeScript on the frontend, and deep experience building distributed backends in Go, Python, or TypeScript. \nCloud & IaC: Hands-on, architectural-level experience with a major cloud (GCP, AWS) and Terraform. You don’t just use it; you architect with it. \nContainers & CI/CD: Strong knowledge of Docker, Kubernetes, and modern CI/CD pipelines built from scratch (GitHub Actions, GitLab CI). \nSystems Thinking: Proven ability to design scalable, resilient and observable systems. \nProduct Mindset: Experience working closely with Product and Design teams to deliver solutions that users genuinely value. \nObservability & Quality: Practical understanding of monitoring, tracing, testing and operational excellence, including tools such as Prometheus, Grafana and Jaeger. \n\n \n\nWho You Are\n\nYou have 10+ years of experience, with strong backgrounds in both product engineering and platform/SRE work. \nYou are a builder first. You don’t run architecture review boards; you write the code that makes them unnecessary. \nYou believe the best architecture is the simplest one that works, and that great products and great platforms are built by the same kind of mindset. \nYou measure your success by the velocity, autonomy, and pride of the engineers around you. \n\nAdditional Information\n\nWhy SGS?\n\nOpportunity to work with a global leader in inspection, verification, testing, and certification. \nCollaborative and inclusive work environment. \nCompetitive salary and benefits package. \nOpportunities for professional growth and development. \n\nJoin Us: At SGS, we are dedicated to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential.\n\n… 更多\n\n订阅相似职位\n\n平台工程师，美国 加利福尼亚 海沃德\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "2", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：海沃德, CA (远程办公)，JD 未声明可全球", "salary_min": null, "score": 129, "reasons": [ "+20 Python后端", "+15 React前端", "+12 TypeScript", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 全栈", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": false }, { "id": "4472492235", "title": "Artificial Intelligence Engineer", "company": "Yara AI", "location": "美国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472492235/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nYara AI\n\nArtificial Intelligence Engineer\n\n美国 · 的时间: 3 小时前 · 10 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n150K USD/yr - 400K USD/yr\n远程办公\n全职\n申请\n保存", "description": "About Yara\n\nYara is building the future of finding work. Most hiring tools are stuck in the 90s and AI is making it worse, not better. More spam, more noise, more generic outreach that wastes everyone's time. We're reworking how people find their next role with one profile that actually shows your work, smart matching that puts you in front of the right companies, and a real person on the other side who cares about getting it right.\n\nWe work with companies across AI, developer tools, consumer, fintech, and health tech, ranging from teams that have raised $1B+ with 3,000+ employees to earlier stage companies at $50M+ with 100+ employees. We've helped talent from Google, Apple, Palantir, Uber, and Ramp connect with companies like Vercel, Paraform, Abridge, and Parallel.\n\nAbout this role\n\nEvery company in the Yara Network is building with LLMs, and engineers who can take agents to production are the most requested profile we have. If you've built with models beyond the demo stage, with tools, evals, retrieval, and real users, this pipeline moves fast.\n\nWho this is for\n\nYou've shipped something LLM-powered that real people used, at work or on your own.\nYou know the difference between a wrapper and a system, because you've had to fix the wrapper.\nYou keep up. New models, new patterns, new tooling, weekly.\nYour agent work sits on real engineering fundamentals, and interviews confirm it.\nYou want to work at the companies defining this wave, from seed to scale.\n\nYou may be a good fit if you have\n\nProduction LLM integration: tool-calling, RAG, evals, observability\nStrong software fundamentals in TypeScript, Python, or Go\nShipped agentic products or serious agentic side projects\nExperience at a startup or high-bar engineering org is a plus\nLinks to anything agentic you've built\n\nIf we don't move forward together, you can still use your Yara to list your work, browse millions of roles, manage your job search, and stay in our network for when something new comes up.\n\nThis is a Yara Network Application. Apply once and get matched across our partner companies.\n\n订阅相似职位\n\nArtificial Intelligence Engineer，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 70, "reasons": [ "+20 Python后端", "+12 TypeScript", "+15 Go语言", "+8 DevOps/CI", "+15 AI/LLM/评测" ], "tier": "agent", "ai_hits": [ "agentic", "rag", "evals" ], "neg": {}, "pos": [], "new": false }, { "id": "4472489040", "title": "Frontend Engineer", "company": "ActAI", "location": "新加坡 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472489040/", "queries": [ "LLM engineer @ Worldwide", "AI agent engineer @ Asia", "AI infrastructure engineer @ Worldwide", "AI infrastructure engineer @ Asia", "AI agent engineer @ Worldwide", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Worldwide", "AI evaluation engineer @ Asia", "Golang backend engineer @ Asia", "AI evaluation engineer @ Worldwide", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nActAI\n\nFrontend Engineer\n\n新加坡 · 的时间: 5 小时前 · 57 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About ActAI\n\nThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our application focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations\n\nOur objective is to organise anyone's life.\n\nRole\n\nAs a Web Frontend Engineer, you will build the core web experiences, including Chat, Notes, Calendar, Docs and Sheets.\n\nYou will own complex, highly interactive product surfaces from architecture through implementation, working closely with product, design, backend and AI engineers to make AI a native part of how users communicate, write, organise and work.\n\nWhat You'll Own\n\nBuild major web experiences across Chat, Notes, Calendar, Docs, and Sheets.\nDevelop complex interactions including real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets.\nBuild reusable frontend architecture and components that work consistently across ActAI applications.\nIntegrate streaming AI responses, proactive actions, and model-driven experiences directly into product workflows.\nOwn frontend performance, responsiveness, reliability and accessibility across browsers and devices.\nWork closely with product and design to take ideas from prototype to production quickly.\n\nWhat We're Looking For\n\nStrong experience building complex, production web applications using React, TypeScript and modern frontend technologies.\nDeep understanding of frontend architecture, state management, browser APIs, and performance.\nExperience building highly interactive products such as chat, collaboration, productivity, document editing, calendars, or workspaces.\nExperience with real-time systems, WebSockets, streaming APIs, or collaborative interfaces.\nStrong product and UI judgment with attention to interaction details.\nAble to independently own features from technical design through production.\n\nOutcomes\n\nUsers can communicate, write, organise and collaborate seamlessly across Chat, Notes, Calendar, Docs and Sheets.\nComplex interactions such as group messaging, editing, scheduling and collaboration feel fast and reliable.\nAI capabilities are integrated naturally into product workflows rather than added as separate chatbot experiences.\nFrontend architecture remains fast, maintainable and reusable as ActAI expands into new applications and workflows.\n\nTech Stack\n\nTypeScript\nReact.js / Next.js\nHTML / CSS\nWebSockets / streaming APIs\nNode.js\nREST / GraphQL APIs\n\nHow We Work\n\nThe best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively and move at rapid speed, striking a balance between shipping high-quality work and learning.\n\nJoining our team requires the ability to bring structure, exercise judgment and execute independently. Our goal is to put in the hands of our users a truly magical product.\n\nInterview Process\n\nIf there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews.\n\nApplications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.\n\nWe value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us and help bring practical AI benefits to billions of users globally.\n\n订阅相似职位\n\nFrontend Engineer，新加坡\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：新加坡 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 27, "reasons": [ "+15 React前端", "+12 TypeScript" ], "tier": "eval", "ai_hits": [ "hallucination" ], "neg": {}, "pos": [], "new": false }, { "id": "4463985013", "title": "Senior ML Engineer", "company": "Wave Group", "location": "德国 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4463985013/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nWave Group\n\nSenior ML Engineer \n\n德国 · 已转发的时间: 10 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 积极审核申请者\n\n90K EUR/yr - 200K EUR/yr\n远程办公\n全职\n0 项技能匹配，共 11 项技能\n快速申请\n保存", "description": "💻 Job Title: Senior ML Engineer\n\n💰 Salary: ideally up to €120k but would consider exceptional candidates up to ~€200k\n\n📈 Equity: VERY generous - 100% of your salary (vesting over 4 years)\n\n🌍 Location: fully remote anywhere in Europe (proximity to Berlin preferred)\n\n🔐 Company: AI Agents for Construction\n\n👥 Employees: 100+\n\n💸 Funding: €45m+ (Series B)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 25, "reasons": [ "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "ai agents" ], "neg": {}, "pos": [], "new": false }, { "id": "4471315054", "title": "AI Engineer, Mid Level", "company": "Jobright.ai", "location": "美国 (远程办公)", "salary_text": "", "posted": "10 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471315054/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI agent engineer @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nJobright.ai\n\nAI Engineer, Mid Level \n\n美国 · 的时间: 10 小时前 · 11 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Jobright is a personal AI job search agent that helps people navigate job searching more efficiently with expert-guided support. The AI Engineer builds and maintains AI-powered product features, focusing on language-model and retrieval integrations, evaluation and quality assurance, API and workflow development, and production performance and reliability.\n\nWhy Join Us\n\n• Build real, production AI agents used by real users\n\n• High ownership and impact\n\n• Work at the intersection of AI, agents, and product\n\n• Shape how people experience AI-driven job search\n\nResponsibilities\n\n• Build AI product features that integrate language models, retrieval, and application services\n\n• Create evaluation datasets and automated checks for output quality and failure modes\n\n• Implement APIs, retrieval workflows, and model integrations with clear interfaces\n\n• Monitor and improve response quality, latency, reliability, and inference cost\n\n• Collaborate with product and engineering teams to document behavior and maintain production features\n\nQualification\n\nRequired\n\n• Practical experience developing software features that use machine learning or language models\n\n• Strong Python skills, API development experience, and software testing fundamentals\n\n• Understanding of retrieval, model evaluation, prompt design, and common model limitations\n\n• Ability to diagnose failures across application, data, and model components\n\n• Clear communication and the ability to deliver scoped work independently in a remote team\n\nPreferred\n\n• Experience with vector search, structured model outputs, or tool-enabled applications\n\n• Familiarity with production AI monitoring and systematic evaluation of model changes\n\n… 更多\n\n订阅相似职位\n\nAI Engineer, Mid Level，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 35, "reasons": [ "+20 Python后端", "+15 AI/LLM/评测" ], "tier": "agent", "ai_hits": [ "ai agents", "evaluation", "model evaluation" ], "neg": {}, "pos": [], "new": false }, { "id": "4471310194", "title": "Machine Learning Engineer", "company": "ArrowFin Global (ArrowFin)", "location": "美国 (远程办公)", "salary_text": "", "posted": "12 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4471310194/", "queries": [ "LLM engineer @ Worldwide", "AI agent engineer @ Worldwide", "AI evaluation engineer @ Worldwide" ], "top_card": "跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nArrowFin Global (ArrowFin)\n\nMachine Learning Engineer\n\n美国 · 的时间: 13 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nMorad Askar \n\n• 3度+\n\nFintech Founder & CEO | Building Intelligent Trading Platforms, Risk Systems & Brokerage Infrastructure | Expert in Futures Markets, RegTech & Financial Software Innovation\n\n职位发布者\n\n发消息", "description": "Position: Machine Learning - Risk Intelligence - Fintech\n\nLocation: Worldwide\n\nSchedule: Remote\n\nType: Full-Time\n\nArrowFin Global builds real time risk intelligence for the futures trading industry, systems that detect when a trader is heading toward a blowup before it happens. This is applied ML: deep reasoning about trading data and behavior matters more here than novel model architecture.\n\nYou'll own the ML and modeling work behind our behavioral scoring and trader profiling systems, reporting to our Technical Program Lead and Principal Data Engineer, who owns the overall risk intelligence platform.\n\nWhat you'll do\n\n🔹 Design and build behavioral models using real trading data spanning hundreds of millions of fills\n\n🔹 Design labeling strategies and build high quality labeled datasets with clear, reproducible methodology\n\n🔹 Define rigorous evaluation frameworks and guard against leakage, sampling bias, and overfitting\n\n🔹 Take models from research notebooks into production Python services, typed contracts, tests, fixtures\n\n🔹 Validate models under noisy, live trading conditions and ensure production matches research results\n\n🔹 Present your work regularly to both technical and non-technical stakeholders, including executives\n\nWhat you bring (required)\n\n✅ 4+ years building and shipping ML/data products in industry, not academia only, with strong production Python\n\n✅ Comfortable working independently from ambiguous problem statements, a question and a database, not a spec\n\n✅ Strong SQL and experience with large, messy real world datasets, PostgreSQL/Timescale a plus\n\n✅ Able to explain models in plain English to non-ML audiences; interviews include presenting a past project\n\n✅ Effective with AI coding tools; you must be able to explain every line you ship\n\n✅ Conversational English and comfort engaging directly with stakeholders and executives\n\n✅ Minimum 4 hours of overlap with US Central time working hours\n\nNice to have\n\n➕ Trading or futures domain knowledge, genuine curiosity about markets counts\n\n➕ LLM/RAG experience\n\nContract type: Remote, long term contract\n\nTo apply: Apply on LinkedIn with a short summary of your production ML experience and why you're interested in this role\n\nWhy Join ArrowFin Colombia?\n\nMassive Impact: You are building a platform that manages millions in transactional volume across three distinct products, not just maintaining a single pipeline of data.\nReal Breadth: We are building high-performance, highly-available applications and direct exchange connectivity that are consumed by 10s of thousands of customers. This is your opportunity to get into the massive fintech and capital markets space. We use data to provide support and optimize the traders' experience on our platforms.\nCode-Forward Leadership: Influence architecture and standards while continuing to ship code.\nTrue Stability: You are a core employee, not an outsourced contractor. We are building our own products for the long term.\nPremium Benefits: Enjoy private insurance, education reimbursement, a supportive local culture, and a stable career path designed for multi-year growth.\n\nCompensation: Competitive compensation based on experience level.\n\n… 更多\n\n订阅相似职位\n\n机器学习工程师，美国\n\n关", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "rag", "evaluation" ], "neg": { "强制重叠工时": [ "4 hours of overlap" ] }, "pos": [], "new": false }, { "id": "4471094591", "title": "MLOps Engineer", "company": "Evlo AI", "location": "西雅图, WA (远程办公)", "salary_text": "", "posted": "14 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471094591/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nEvlo AI\n\nMLOps Engineer\n\n西雅图, WA · 的时间: 14 小时前 · 32 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About The Role\n\nThe MLOps Engineer will build and operate the infrastructure that moves machine learning models from experimentation into reliable production services. The role covers training pipelines, model registry, deployment automation, observability, and the cloud systems required to serve models at scale.\n\nWorking closely with ML engineers, data scientists, and platform engineers, this role will improve release velocity without compromising reliability, security, or model quality. The team supports workloads across batch inference, real-time APIs, and LLM-enabled applications.\n\nKey Responsibilities\n\nBuild and maintain end-to-end ML pipelines using Kubeflow, Airflow, or equivalent orchestration frameworks for training, validation, and deployment\nAutomate model packaging and release workflows with Docker, Kubernetes, Helm, and GitHub Actions or GitLab CI\nOperate model serving infrastructure on AWS, GCP, or Azure using platforms such as SageMaker, Vertex AI, KServe, or NVIDIA Triton\nImplement model and data observability for latency, throughput, drift, feature quality, cost, and production performance using tools such as Prometheus, Grafana, and MLflow\nManage experiment tracking, model versioning, artifact storage, and promotion workflows across development, staging, and production environments\nImprove platform reliability through infrastructure as code, automated testing, incident response, capacity planning, and documented runbooks\nPartner with ML and backend engineers to optimize inference performance, GPU utilization, deployment safety, and rollback procedures\n\nWhat We Are Looking For\n\n3–8 years of experience in MLOps, ML platform engineering, DevOps, or a closely related software engineering discipline, including experience supporting production ML workloads\nStrong Python and Linux skills, with the ability to write maintainable automation, services, and deployment tooling\nHands-on experience with Kubernetes, Docker, CI/CD, and infrastructure as code using Terraform, Pulumi, or equivalent tools\nProduction experience with at least one major cloud platform: AWS, GCP, or Azure, including networking, IAM, storage, and compute services\nWorking knowledge of ML lifecycle systems such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or comparable platforms\nUnderstanding of model serving patterns, feature and training data pipelines, monitoring, security, and reliability engineering principles\nBonus: experience with GPU scheduling, distributed training, LLM inference, Ray, KServe, NVIDIA Triton, service meshes, or a degree in computer science, engineering, mathematics, or a related technical field\n… 更多\n\n订阅相似职位\n\n工程师，美国 华盛顿州 西雅图\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：西雅图, WA (远程办公)，JD 未声明可全球", "salary_min": null, "score": 69, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务" ], "tier": "general", "ai_hits": [ "llm", "machine learning", "ml engineer" ], "neg": {}, "pos": [], "new": false }, { "id": "4434174541", "title": "R&D Engineer", "company": "Ultralytics", "location": "中国 广东省 深圳 (远程办公)", "salary_text": "", "posted": "15 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4434174541/", "queries": [ "LLM engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nUltralytics\n\nR&D Engineer\n\n中国 广东省 深圳 · 已转发的时间: 15 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "About Ultralytics:\n\nAt Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.\n\n⚡ Who we are\n\nAt Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading open-source YOLO models and the popular Ultralytics GitHub repository, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications.\n\nFollowing our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality.\n\nWe move fast. We build boldly. We execute with purpose. And we do it together.\n\n💼 About the role\n\nAs an R&D Engineer focused on neural network architectures for YOLO, you'll design and develop the neural network architectures at the core of how YOLO is built. Your work will directly shape the open-source models used by millions of developers across detection, segmentation, pose, and emerging vision tasks.\n\nYou'll operate at the intersection of research and production, turning ideas from papers into performant architectures, rigorous experiments, and production-ready model designs. Working closely with our cross-disciplinary R&D team, you'll help define future releases across the Ultralytics ecosystem and contribute to the technical foundations documented in our docs and guides.\n\nThis role is ideal for a hands-on researcher who thrives on first-principles thinking, rapid experimentation, and high ownership. You bring deep architectural intuition, strong PyTorch skills, and the drive to build original models that advance the state of the art.\n\n🚀 What you'll do\n\nResearch & architecture design\n\nResearch, design, and build novel neural network architectures for next-generation YOLO models. \nDevelop core components including backbones, necks, heads, attention modules, and efficient building blocks. \nRead, reproduce, and extend cutting-edge papers into working model architectures from scratch. \n\nExperimentation & optimization\n\nRun rigorous ablation studies and large-scale architecture experiments across standard benchmarks. \nImprove accuracy, latency, and scaling through distillation, pruning, and quantization-aware design. \nBuild training recipes and evaluation pipelines for detection, segmentation, pose, and new vision tasks. \n\nCollaboration & ownership\n\nPartner with R&D and engineering teams to turn research ideas into production-ready open-source models. \nContribute to foundational model initiatives that support future YOLO and broader vision systems. \nTake ownership of assigned R&D tasks beyond architecture work and solve problems efficiently and correctly. \n\n🧠 Skills and experience\n\nCore Requirements\n\n5+ years of hands-on experience in computer vision and deep learning with architecture design expertise. \nProven success building models from the ground up, not just fine-tuning pretrained checkpoints. \nExpert-level Python and deep proficiency in PyTorch, including custom layers, modules, and training loops. \nStrong command of convolutions, attention, normalization, optimization, and loss design fundamentals. \nAbility to read a research paper and implement it faithfully and efficiently from scratch. \nExperience with efficiency research such as quantization, pruning, distillation, or neural architecture search. \nStrong portfolio of research contributions through papers, preprints, open-source code, or original model work. \nHigh ownership, adaptability, and comfort operating in a fast-moving research environment. \n\nNice to have\n\nPublished research at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. \nExperience with distributed training, mixed precision, CUDA profiling, or model deployment constraints. \nActive open-source presence with architecture-focused repositories and meaningful community adoption. \nFamiliarity with the Ultralytics Python package, documentation, or community forum. \nHistory of taking original research from prototype to models others actually use. \n\n🌟 Cultural fit\n\nAt Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact.\n\nYou'll thrive here if you:\n\nTake ownership and deliver results with focus and accountability. \nCombine deep technical thinking with hands-on execution. \nValue excellence, grit, and creativity in equal measure. \nSee collaboration as the foundation for meaningful progress. \n\nOur culture is built around our core values:\n\nRelentless progress: Constant evolution and improvement. \nStrive for excellence: Perseverance and attention to detail. \nActions, not words: Focus on delivering meaningful results. \nAct with urgency: Seize fleeting opportunities. \nOpen access to all: Transparent communication and collaboration. \n\nLearn more in our Ultralytics Handbook and Mission & Values.\n\n💰 Compensation And Benefits\n\nWe reward excellence and impact — not just tenure or title.\n\nCompetitive salary: Reflecting your experience and contribution. \nEquity packages: We want our success to be yours too. \nGlobal collaboration: Work with passionate builders across our global team. \nFlexible working hours: We value results over routines. \nGenerous time off: 24 vacation days, your birthday off, plus local holidays. \nTech & tools: Work on cutting-edge AI projects that power millions of devices. \nGear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3. \nLearning & development: Dedicated budget for personal and professional growth. \nHigh impact: Your work will shape the future of vision AI. \n\n🌎 Where and how you can work\n\nThis is a remote role.\n\n👉 Check out ultralytics.com/careers for more about our culture, values, and teams.\n\nWhat we offer:\n\nCutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.\n\nImpactful Work: Shape the future of AI-powered solutions that transform industries.\n\nCollaborative Culture: Join a talented and passionate team that values open communication and innovation.\n\nUltralytics Handbook\n\nComprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.\n\nLink: https://handbook.ultralytics.com/\n\nUltralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.\n\n… 更多\n\n订阅相似职位\n\n研发工程师，中国 广东省 深圳\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "可申请·中国境内", "bad_words": [], "region_note": "", "salary_min": null, "score": 76, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位", "+15 全球远程" ], "tier": "eval", "ai_hits": [ "evaluation", "benchmarks" ], "neg": {}, "pos": [], "new": false }, { "id": "4471083994", "title": "Applied AI Engineer (Python/AI)", "company": "RemoteHunter", "location": "美国 (远程办公)", "salary_text": "", "posted": "15 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4471083994/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nRemoteHunter\n\nApplied AI Engineer (Python/AI)\n\n美国 · 的时间: 16 小时前 · 39 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n0 项技能匹配，共 3 项技能\n申请\n保存", "description": "1. About Our Client:\n\nThe organization operates in the financial wellness industry, offering a global solution that addresses employees' financial health throughout various life stages. It supports HR teams in improving the employee experience to attract, retain, and engage talent. The company is a remote-first software provider developing AI-powered tools aimed at delivering practical improvements in financial outcomes for users.\n\n2. About the Opportunity:\n\nThe Applied AI Engineer role focuses on building and expanding AI-driven features within a production SaaS platform, particularly enhancing the AI Coach experience. The position involves practical application of generative AI, working alongside product managers and engineers to develop user-facing AI functionalities. This role contributes to delivering impactful AI features in a fintech environment and emphasizes thoughtful use of AI to improve development and product reliability.\n\n3. Responsibilities:\n\n• Develop and enhance AI-powered product features collaboratively with product and engineering teams\n\n• Design and refine prompts to optimize AI response quality and feature performance\n\n• Create Python-based services and APIs to support AI workflows\n\n• Manage structured data in PostgreSQL and vector-based systems underpinning AI applications\n\n• Implement features within FastAPI-based systems\n\n• Utilize AI-assisted development tools to boost engineering productivity and refine implementations\n\n• Engage in technical discussions on feature design and implementation\n\n4. Requirements:\n\n• Minimum 3 years of software engineering experience\n\n• Strong proficiency in Python development\n\n• Experience with AI-powered coding tools (preference for Anthropic's Claude Code)\n\n• Background in building backend services or APIs\n\n• Familiarity with LLM APIs, generative AI services, or AI-enabled application capabilities\n\n• Strong problem-solving and debugging skills\n\n• Effective collaboration in cross-functional teams\n\nNice to Have:\n\n• Experience with FastAPI or similar frameworks\n\n• Knowledge of prompt evaluation or LLM testing methods\n\n• Experience integrating AI into production SaaS platforms\n\n• Background in fintech or B2B SaaS\n\n5. Pay Range and Compensation Package:\n\n• Estimated annual base salary range: $125,000 to $155,000, dependent on qualifications, experience, and location\n\n• Eligibility for annual performance bonus\n\n• Equity participation\n\n• Comprehensive benefits package\n\n6. Benefits & Perks:\n\n• Medical, dental, and vision insurance\n\n• 401(k) with company contribution\n\n• Annual performance bonus\n\n• Paid time off\n\n• Life insurance\n\nEqual Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.\n\nNote:\n\nRemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.\n\n… 更多\n\n职位发布中说明的福利\n\nVision insurance, Medical insurance, Dental insurance, 401(k)\n\n订阅相似职位\n\nApplied AI Engineer (Python/AI)，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 45, "reasons": [ "+20 Python后端", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "evaluation" ], "neg": {}, "pos": [], "new": false }, { "id": "4354823549", "title": "Site Reliability Engineer, Inference Infrastructure", "company": "Cohere", "location": "蒙特利尔, QC (远程办公)", "salary_text": "", "posted": "15 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4354823549/", "queries": [ "LLM engineer @ Worldwide", "AI evaluation engineer @ Worldwide", "MCP agent @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nCohere\n\nSite Reliability Engineer, Inference Infrastructure \n\n蒙特利尔, QC · 已转发的时间: 16 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存\n人脉推荐\n\n腾讯的前同事\n\n显示全部", "description": "Who are we?\n\nCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\nWhy this role?\n\nAre you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.\n\nAs a Site Reliability Engineer You Will\n\nBuild self-service systems that automate managing, deploying and operating services.\nThis includes our custom Kubernetes operators that support language model deployments.\nAutomate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.\nTake steps required to ensure we hit defined SLOs, including participation in an on-call rotation.\nBuild strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback.\nDevelop our team through knowledge sharing and an active review process.\n\nYou May Be a Good Fit If You Have\n\n5+ years of engineering experience running production infrastructure at a large scale\nExperience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters\nExperience with Kubernetes dev and production coding and support\nExperience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving\nExperience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments\nExperience in compute/storage/network resource and cost management\nExcellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork\nThe grit and adaptability to solve complex technical challenges that evolve day to day\nFamiliarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.\nStrong understanding or working experience with distributed systems.\nExperience in Golang, C++ or other languages designed for high-performance scalable servers).\n\nFull-Time Employees At Cohere Enjoy These Perks\n\nA weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\nFull health and dental benefits, including a separate budget for mental health.\nRRSP matching, 401K, Pension Scheme.\n100% Parental Leave top-up for up to 6 months, for either parent.\nAnnual enrichment benefits:\n\nArts & culture, fitness/wellness, quality time, and a workspace improvement credit.\n\nEducation & learning stipend for conferences, courses, and coaching.\n\n6 weeks of paid vacation (30 working days!)\nBudget for traveling to other offices if you are remote, plus an annual company offsite.\n\nHow And Where We Work\n\nCohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\nFor those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\nFor those not near an office: a co-working benefit so you can work alongside others in your city.\nEveryone receives a $500 home office stipend to set up your workspace properly.\n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply.\n\nWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.\n\nWe may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.\n\nBeware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.\n\nCompensation Range: $160K - $260K\n… 更多\n\n职位发布中说明的福利\n\n401(k)\n\n订阅相似职位\n\n现场可靠性工程师，加拿大 魁北克 蒙特利尔\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：蒙特利尔, QC (远程办公)，JD 未声明可全球", "salary_min": null, "score": 58, "reasons": [ "+15 Go语言", "+10 Kubernetes", "+15 AI/LLM/评测", "+8 分布式/微服务", "+10 高级职位" ], "tier": "general", "ai_hits": [ "large language model", "machine learning" ], "neg": {}, "pos": [], "new": false }, { "id": "4406758566", "title": "Solutions Support Engineer, (Cloud Security & AI)", "company": "Wiz", "location": "日本 Tokyo (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4406758566/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide", "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia", "Golang backend engineer @ Asia", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nWiz\n\nSolutions Support Engineer, (Cloud Security & AI) \n\n日本 Tokyo · 已转发的时间: 17 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation.\n\nOur Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun!\n\nMinimum qualifications:\n\nFluency in Japanese and Business level English.\n\n5+ years of hands-on, technical experience in customer support, technical support, system administration, or related customer-facing role.\n\nA minimum of 2+ years of experience with Cloud technologies (Azure, AWS, GCP).\n\nExperience reading or debugging code in one or more of the following: Java, Python, Shell, JavaScript, JSON.\n\nProficiency with command-line tools and Linux operating system environments.\n\nExperience with Kubernetes, system virtualization, on-prem and/or hybrid cloud computing, cloud identity and security systems, cloud monitoring and logging, as well as local and cloud storage.\n\nPreferred qualifications:\n\nExperience with DevOps technologies.\n\nFamiliarity with REST APIs or GraphQL.\n\nKnowledge of basic web technologies (e.g., HTTP, HTML, DNS).\n\nUnderstanding of networking fundamentals (e.g., TCP/IP, Routing, VPNs, VLANs, Peering, Load Balancing).\n\nUnderstanding of relational databases.\n\nFamiliarity with security frameworks or tools.\n\nExcellent organizational and project management skills.\n\nFast learner, natural curiosity, and love of technology.\n\nAbout the Job:\n\nAs a Solutions Support Engineer, you will be a part of a global team responsible for providing outstanding technical support experience. In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, creating solutions for customers while scaling our support offering using coding and scripting.\n\nResponsibilities:\n\nResponsible for technical customer support experience within the Wiz product.\n\nOwn, troubleshoot and solve customer technical issues, using collaboration, troubleshooting best practices and transparency within and across teams.\n\nIdentify cases that require escalation (either technically or strategically).\n\nCreate, maintain, and coordinate incident management requests to product or engineering.\n\nDesign and implement solutions that scale the support offering through automations.\n\nParticipate in on-call rotation for after-hours, holiday, weekend support coverage.\n\nApplicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.\n\nWiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. \n\nBy submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.\n\n… 更多\n\n订阅相似职位\n\nSolutions Support Engineer, (Cloud Security & AI)，日本 Tokyo\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：日本 Tokyo (远程办公)，JD 未声明可全球", "salary_min": null, "score": 63, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": { "客户/演示/销售": [ "customer-facing" ] }, "pos": [], "new": false }, { "id": "4470801570", "title": "Cyber Security Engineer", "company": "fram^", "location": "越南 胡志明市 (远程办公)", "salary_text": "", "posted": "17 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4470801570/", "queries": [ "LLM engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nfram^\n\nCyber Security Engineer \n\n越南 胡志明市 · 的时间: 18 小时前 · 16 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存", "description": "About the Role\n\nWe are looking for a Cybersecurity Engineer to help organizations strengthen their security posture and build secure technology environments. You will work across different security areas, advise on technical solutions, and collaborate with both customers and engineering teams to turn security requirements into real-world implementations.\n\nWhat You’ll Do\n\nAssess customers’ security environments and identify risks, gaps, and improvement opportunities.\nDevelop security solutions covering cloud, IAM, networks, endpoints, data, and security operations.\nAnalyze business and technical requirements and recommend appropriate security approaches.\nParticipate in customer meetings, technical discussions, and security workshops.\nPrepare solution proposals, technical documentation, and presentations for customer engagements.\nPartner with engineering and delivery teams throughout implementation to address security requirements.\nHelp define security standards, guidelines, and reusable solutions for future projects.\nKeep up with new cybersecurity technologies, threats, and industry practices.\n\nWhat We’re Looking For\n\n4+ years of experience in cybersecurity, information security, or security consulting.\nHands-on knowledge of multiple security domains such as IAM, cloud, network, endpoint, data security, or SOC.\nExperience working with AWS, Azure, and/or GCP environments.\nStrong understanding of common security frameworks and practices.\nAbility to understand complex environments and turn security challenges into practical solutions.\nExperience communicating with technical teams as well as business or customer stakeholders.\nStrong presentation and documentation skills.\nGood English communication skills.\n\nYou’ll love working here!\n\nCompetitive salary package.\nMon-Fri, flexible remote working.\n12 days of annual leave and 3 additional special holidays (Swedish National Day, Christmas Eve & your Birthday).\nAnnual leave increases with loyalty.\nPremium health care package for employees & family members.\nEnglish, professional working environment.\nOpportunities to gain hands-on experience in cutting-edge technologies.\n… 更多\n\n订阅相似职位\n\nCyber Security Engineer，越南 胡志明市\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "16", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：越南 胡志明市 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 0, "reasons": [], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4406703775", "title": "Staff AI Engineer - AI Product", "company": "ClickUp", "location": "美国 (远程办公)", "salary_text": "", "posted": "17 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4406703775/", "queries": [ "LLM engineer @ Worldwide", "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nClickUp\n\nStaff AI Engineer - AI Product \n\n美国 · 已转发的时间: 18 小时前 · 超过 100 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n250K USD/yr - 300K USD/yr\n远程办公\n全职\n申请\n保存", "description": "At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀\n\nRole Overview:\n\nWe are seeking a highly skilled Staff AI Engineer – AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications.\n\nKey Responsibilities:\n\nLead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users. \nCollaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions. \nIntegrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences. \nPrototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement. \nEnsure the reliability, scalability, and performance of AI-powered features in production environments. \nStay at the forefront of AI research and product trends, incorporating the latest advancements into ClickUp’s product roadmap. \nAddress AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications. \nMentor and guide other engineers in best practices for building AI-powered products. \n\nQualifications:\n\nProven experience building and shipping AI-powered features or products in a production environment. \nDeep understanding of LLMs and AI models, including their strengths, limitations, and integration strategies. \nExperience working with orchestration frameworks and integrating multiple AI models to deliver cohesive user experiences. \nExperience developing evaluation frameworks and metrics for AI features, with a focus on user impact and business value. \nFamiliarity with AI privacy, security, and compliance best practices. \n5+ years of backend and/or full-stack engineering experience, with proficiency in Python, JavaScript/TypeScript, or similar languages. \n5+ years of experience with PostgresDB, MySQL, or other related DBs. \n5+ years of experience with Elasticsearch or other related technologies. \nExperience setting up production-ready observability and logging. \nDemonstrated ability to collaborate cross-functionally and translate product requirements into technical solutions. \nPassion for staying updated with the latest AI research and applying it to solve real-world user problems. \nExcellent communication and mentorship skills, with a track record of influencing product direction and engineering best practices. \n\nEqual Opportunity Employer \n\nClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.\n\nPrivacy Notice\n\nClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice.\n\nIf you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.\n\nVisa Sponsorship\n\nPlease note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.\n\nFraud Alert\n\nClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.\n\nAI Processing Notice\n\nClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.\n\nCompensation Range: $250K - $300K\n\n… 更多\n\n订阅相似职位\n\nStaff AI Engineer - AI Product，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 65, "reasons": [ "+20 Python后端", "+12 TypeScript", "+15 AI/LLM/评测", "+8 全栈", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "evaluation" ], "neg": {}, "pos": [], "new": false }, { "id": "4472494521", "title": "Statistical Programmer / Data Scientist (Digital Health Validation)", "company": "Billennium", "location": "波兰 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472494521/", "queries": [ "Golang backend engineer @ Worldwide", "Python backend engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nBillennium\n\nStatistical Programmer / Data Scientist (Digital Health Validation) \n\n波兰 · 的时间: 42 分钟前 · 1 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n0 项技能匹配，共 8 项技能\n申请\n保存", "description": "At Billennium, we have been helping organizations deliver technology projects and digital transformation initiatives for over 20 years. Currently, we are looking for a Statistical Programmer / Data Scientist to join a global healthcare and life sciences organization developing innovative Digital Health Technologies (DHTs) used in clinical research.\n\nThis is an exciting opportunity for a professional who combines strong statistical expertise with hands-on programming skills and enjoys working at the intersection of Data Science, clinical research, digital biomarkers, and regulatory science.\n\nB2B | 100% Remote | Global Healthcare & Life Sciences\n\nAbout the Project\n\nYou will become part of an international team working on innovative digital solutions used to monitor disease progression and treatment effectiveness in clinical studies.\n\nThe focus of this role is the statistical validation of Digital Health Technologies (DHTs) and digital biomarkers, helping ensure they meet the rigorous standards required for use in clinical trials and regulatory submissions.\n\nYou will work closely with Clinical, Regulatory, Engineering, and Data Science teams, contributing to analytical validation, clinical validation, and preparation of evidence supporting regulatory acceptance of innovative healthcare technologies.\n\nYour Responsibilities\n\nAuthor and execute Statistical Analysis Plans (SAPs) for Analytical Validation (AV) and Clinical Validation (CV) activities.\nDesign and implement statistical methodologies assessing device reliability, agreement, accuracy, and clinical relevance.\nDevelop validated, regulatory-grade statistical analyses and generate Tables, Listings, and Figures (TLFs).\nPerform statistical programming and analysis supporting validation activities for Digital Health Technologies.\nPrepare and transform clinical data according to CDISC SDTM and ADaM standards.\nEnsure compliance with regulatory requirements, including FDA, EMA, GCP, and 21 CFR Part 11.\nPrepare validation reports, statistical documentation, and regulatory evidence packages.\nCollaborate with Clinical, Regulatory, Engineering, and Data Science teams as the statistical subject matter expert.\nSupport regulatory submissions and responses related to statistical validation activities.\nMaintain high standards of code quality, reproducibility, and documentation.\n\nWhat We're Looking For\n\nMust Have\n\nMSc or PhD degree in Statistics, Biostatistics, Data Science, Mathematics, Computer Science, or another quantitative discipline.\nMinimum 4 years of professional experience in statistical programming, biostatistics, clinical analytics, or Data Science within pharmaceutical companies, MedTech organizations, CRO environments, or other healthcare-related industries.\nProven experience authoring Statistical Analysis Plans (SAPs).\nExperience supporting FDA and/or EMA submissions.\nStrong understanding of Analytical Validation, Clinical Validation, clinical trial methodologies, and statistical validation frameworks.\nExperience working in regulated environments following GCP, 21 CFR Part 11, and other regulatory compliance standards.\nAdvanced programming skills in Python.\nStrong knowledge of statistical methods including Bland-Altman Analysis, Intraclass Correlation Coefficient (ICC), Lin’s Concordance Correlation Coefficient (CCC), Kappa Statistics, Limits of Agreement, Regression Models, Mixed-Effects Models, and Psychometric Validation Methods.\nHands-on experience with Pandas, NumPy, SciPy, Statsmodels, and Scikit-Learn.\nExperience working with CDISC SDTM and ADaM data standards.\nExperience preparing SAPs, Tables, Listings and Figures (TLFs), Validation Reports, and Regulatory Submission Packages.\nStrong understanding of software development best practices, including Git, GitHub, unit testing, code reviews, and SDLC processes.\nExcellent English communication skills.\n\nNice to Have\n\nExperience with R and related statistical packages.\nExperience working with Digital Health Technologies (DHTs).\nExperience validating digital biomarkers.\nKnowledge of wearable device data and digital endpoint methodologies.\nExperience working in international and cross-functional teams.\nFamiliarity with machine learning techniques applied to healthcare, clinical research, or digital health products.\n\nWho Are We Looking For?\n\nWe are looking for someone who:\n\nHas a strong analytical and scientific mindset.\nIs passionate about applying statistics to real-world healthcare challenges.\nCan balance methodological rigor with practical business and regulatory requirements.\nPays close attention to detail and data quality.\nCommunicates complex statistical concepts clearly to both technical and non-technical audiences.\nWorks effectively in multidisciplinary environments.\nTakes ownership of deliverables and drives initiatives to completion.\nEnjoys collaborating with experts across clinical, regulatory, engineering, and data science domains.\n\nWhat We Offer\n\nCooperation in a B2B model.\nBenefits package for contractors (private healthcare, Multisport card, life insurance, language courses, and access to online learning platforms).\n100% remote work.\nOpportunity to contribute to cutting-edge Digital Health Technologies used in clinical research.\nParticipation in projects that directly influence the future of healthcare and drug development.\nCollaboration with international teams of Data Scientists, Statisticians, Clinical Experts, Regulatory Specialists, and Engineers.\nExposure to innovative digital biomarker and validation initiatives.\nLong-term cooperation in a highly innovative, science-driven environment.\nA culture that values collaboration, scientific excellence, continuous learning, and professional growth.\n\n… 更多\n\n订阅相似职位\n\nStatistical Programmer / Data Scientist (Digital Health Validation)，波兰\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：波兰 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 20, "reasons": [ "+20 Python后端" ], "tier": "eval", "ai_hits": [ "data quality" ], "neg": {}, "pos": [], "new": false }, { "id": "4460272830", "title": "Senior Data Analytics Engineer", "company": "MariaDB", "location": "保加利亚 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4460272830/", "queries": [ "Golang backend engineer @ Worldwide", "Python backend engineer @ Worldwide", "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nMariaDB\n\nSenior Data Analytics Engineer \n\n保加利亚 · 已转发的时间: 47 分钟前 · 27 位会员点击了申请\n\n由招聘者推广 • 领英站外管理的回复\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n申请\n保存", "description": "MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.\n\nAbout the Role\n\nWe're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.\n\nDay to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.\n\nCommunication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.\n\nKey Responsibilities\n\nDesign, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB\nWrite sophisticated, performant SQL to extract insights from large-scale datasets\nLeverage AI and machine learning features to augment analytics workflows and deliver smarter outputs\nUse AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level\nDevelop internal tooling and automation using Python, FastAPI, and modern frameworks\nCommunicate findings clearly to technical and non-technical stakeholders-translate data into action\nUnderstand and document data architecture, lineage, and how information flows across systems\nCollaborate on business process analysis and process design improvements driven by data\nProactively identify opportunities for deeper analysis, better tooling, and operational improvements\n\nRequirements & Qualifications\n\n7+ years of professional experience in data analytics engineering, data engineering, or a related field\nExpert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred\nStrong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts\njs experience - ability to build data-facing web applications and internal dashboards\nDeep understanding of data architecture - how databases are structured, how data flows, how schemas evolve\nHands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically\nProficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch\nExcellent communication skills - you can explain complex analysis to anyone in the room\nSelf-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next\nAmbitious and continuously improving - you seek out new skills, tools, and techniques on your own\nA public GitHub profile with examples of your work (personal projects, contributions, experiments)\n\nNice to Have\n\nFastAPI experience for building internal APIs and services\nBackground in business process design or operational analytics\nExposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo\nUnderstanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus\n\nLocation – Bulgaria (Hybrid, Sofia)\n\nTravel - As required for the job (minimal).\n\nWhat's in it for you?\n\nImpact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. \n\nYou’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.\n\nSalaries for candidates outside the U.S. will vary based on local compensation structures.\n\nCompensation\n\nSalary Range: 30,000 - 38,500 Euro per annum (gross salary) \n\nPlease note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework.\n\nHow to Apply\n\nIf you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.\n\nAt MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.\nMariaDB does not sponsor work visas or relocation.\nMariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.\nMariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.\n\n… 更多\n\n订阅相似职位\n\nSenior Data Analytics Engineer，保加利亚\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：保加利亚 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 71, "reasons": [ "+20 Python后端", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "alignment" ], "neg": {}, "pos": [], "new": false }, { "id": "4470836618", "title": "Data Engineer", "company": "AppGreat", "location": "保加利亚 (远程办公)", "salary_text": "", "posted": "", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4470836618/", "queries": [ "AI infrastructure engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide", "Full stack engineer Python React @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nAppGreat\n\nData Engineer \n\n保加利亚 · 的时间: 51 分钟前 · 9 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n0 项技能匹配，共 10 项技能\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nKristina Petrakieva \n\n• 3度+\n\nHR Specialist 🌱 IT Talent Acquisition @ AppGreat | Program Coordinator @ Mentor the Young 💛 Психологическо консултиране 🧠 Управление на конфликти\n\n职位发布者\n\n发消息", "description": "AppGreat is one of the fastest growing global IT companies, supporting the highest tech organizations in the world with 6 offices: 1 in Sofia, 1 in Skopje, 1 in Bucharest, 1 in Tel Aviv, 1 in Chisinau and 1 in Warsaw.\n\nWe are working with top talents and highly experienced management to ensure the world's leading technology companies meet all the business challenges that the future holds.\n\nWe are AppGreat! We are a young and ambitious company like no other!\n\nWHY JOIN OUR DREAM TEAM?\n\nThe most important part of AppGreat is the team. From our founders to the last person, we are committed to creating a pleasant environment and a place where everybody feels like they belong.\n\nWe invest in them in any way we can, starting from the amazing atmosphere in the office, unique benefits and career growth opportunities.\n\nWe are looking for a Data Engineer to help build, maintain, and scale our data and analytics platform. In this hands-on role, you will work closely with analytics, product, and game teams to turn raw game and product data into reliable, well-modeled datasets that support decision-making across the company.\n\nYOUR MISSION: \n\nDecompose tricky problems, turn raw game and product data into reliable datasets, and work towards clean solutions by yourself or with teammates.\nResponsible for building and maintaining production ELT data pipelines for game and product data.\nResponsible for developing, testing, and documenting dbt models following analytics engineering best practices.\nWork extensively with Google BigQuery for analytics, query optimization, and cost efficiency.\nWrite clean, maintainable Python for data processing, transformations, and automation.\nIdentify downstream implications, ensuring data quality, reliability, and consistency across datasets.\nMonitor pipelines, troubleshoot issues, and take end-to-end ownership of fixes in a fast-paced environment.\nCollaborate closely with analytics, product, and game teams, clearly communicating requirements, assumptions, and outcomes.\nContribute to data architecture decisions in a fast-paced startup environment.\n\nWHAT YOU WILL BRING TO THE COMPANY:\n\n2+ years of experience as a Data Engineer; We’re open to mid, as well as senior professionals.\nHands-on experience with dbt (models, tests, documentation).\nExperience working with Google BigQuery.\nSolid Python skills for data engineering use cases.\nStrong SQL skills and understanding of data modeling concepts.\nExperience building and maintaining production data pipelines.\nFamiliarity with Git and collaborative development workflows.\nStrong English — written and verbal.\nGood communication skills and the ability to work effectively with cross-functional teams.\nA serious, responsible mindset — taking ownership and accountability.\nHigh motivation to succeed, learn, and grow in a startup environment.\n\nNICE TO HAVE/ADVANTAGE: \n\nExperience in the gaming industry (mobile, F2P, online, or real-time analytics).\nUnderstanding of event-based data, funnels, retention, cohorts, and LTV.\nExperience with data orchestration tools (Airflow, Prefect, Dagster).\nFamiliarity with data ingestion tools (Fivetran, Airbyte, or similar).\nExposure to GCP beyond BigQuery.\nExperience working in a startup or fast-paced environment.\n\nOUR COMMITMENT TO YOU:\n\nAttractive remuneration package.\nWorking style - Remote or Hybrid (depending on the location).\nFlexible Working Hours: We care about results, not when you clock in, depending on the team working schedule.\nComprehensive Private Medical Insurance: Your health matters to us (UNIQA) / Medical Subscription Regina Maria (Premium Package).\nAnnual leave starting with 20 days up to 25 days (depending on the relevant experience).\nMultisport Card: Stay active with a subsidized membership, courtesy of AppGreat.\nNetflix or Spotify Subscription: Your choice, fully covered by us for your entertainment and relaxation\nMonthly Food Vouchers.\neMAG birthday gift voucher: A little extra something to celebrate your special day\nChildbirth gift: A thoughtful gift to support and celebrate one of life’s most important moments\nOffice Snacks & Treats: Fresh fruits, nuts, coffee, sweets, and protein bars always stocked.\nTeam Events & Offsites: Regular team buildings and company events to keep the good vibes going.\nLearning & Development: Access to training programs to boost your skills and career.\nCareer Growth Opportunities: Grow with a fast-scaling, innovation-driven company.\nSupportive Culture: Work with a young, motivated, and close-knit team.\nModern Office in Prime Location: Our office is right next to Paradise Mall in Sofia — easily accessible and surrounded by great spots.\n\nWe believe great work starts with great people. If this feels like the right place for you, we’d love to connect.\n\nWe appreciate every application we receive. Please note that only candidates selected for the next stage of the recruitment process will be contacted. If your profile matches the role, our Talent Acquisition team will reach out to you directly.\n\n… 更多\n\n职位发布中说明的福利\n\nMedical insurance\n\n职位发布者添加的要求\n\n• 具有Python (Programming Language) 2+ 年工作经验\n\n订阅相似职位\n\n数据工程师，保加利亚\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "9", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：保加利亚 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 38, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+10 高级职位" ], "tier": "eval", "ai_hits": [ "data quality" ], "neg": {}, "pos": [], "new": false }, { "id": "4460987435", "title": "Systems Engineer | Robotic Kitchen Operations (all genders)", "company": "goodBytz", "location": "德国 汉堡 汉堡 (远程办公)", "salary_text": "", "posted": "1 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4460987435/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\ngoodBytz\n\nSystems Engineer | Robotic Kitchen Operations (all genders) \n\n德国 汉堡 汉堡 · 已转发的时间: 1 小时前 · 48 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "Deine Rolle\n\nFreshly cooked food. Everywhere. All the time.\n\nMit unseren Robotern verändern wir, wie die Welt kocht, isst und genießt. Durch Technologie, die Gastronomien entlastet, automatisiert frisches Essen zubereitet und kulinarische Qualität auf ein neues, skalierbares Level hebt. Zugänglich für alle. Überall und jederzeit. Dafür geben wir alles. Auf allen Ebenen, in jedem Team und in jeder Funktion.\n\nAls Systems Engineer stellst du den stabilen Betrieb unserer Kochroboter sicher. Du erkennst technische Probleme früh, koordinierst die Lösungsfindung und hältst Prozesse schlank und effizient. So sorgst du dafür, dass unsere Roboter jederzeit zuverlässig laufen.\n\nDiese Aufgaben Übernimmst Du\n\nSystembetrieb & Monitoring: Du überwachst unsere Robotersysteme remote von unserem Hamburger Standort aus, analysierst Alerts und Systemzustände und erkennst technische Auffälligkeiten frühzeitig.\nIncident Management: Du identifizierst Störungen proaktiv, nimmst Fehlermeldungen telefonisch an und führst strukturierte Fehleranalysen durch. In enger Zusammenarbeit mit Engineering und Field Operations koordinierst du die Problembehebung.\nDokumentation: Du dokumentierst Systemdaten, Incidents und Lösungswege klar und nachvollziehbar, stellst reibungslose Übergaben zwischen Schichten sicher und entwickelst Playbooks für wiederkehrende Szenarien.\nAutomatisierung & Prozessoptimierung: Du entwickelst neue Automatisierungen, Workflows oder interne Tools und verbesserst bestehende Monitoring-, Support- und Betriebsprozesse kontinuierlich.\nKommunikation & Zusammenarbeit: Du agierst als Schnittstelle zwischen Kunden, Field Operations und internen Teams. Dabei kommunizierst du klar, lösungsorientiert und auf Augenhöhe.\n\nDein Profil\n\nDu brennst für innovative Technologien, begeisterst dich für die Rolle und willst gemeinsam mit uns die Welten von Tech & Kulinarik weiter revolutionieren? Let’s get cooking!\n\nDiese Eigenschaften Bringst Du Idealerweise Mit\n\nEinschlägiger IT-Background: Du bringst mehrere Jahre Erfahrung in der IT oder einem vergleichbaren technischen Umfeld mit und findest dich in modernen, komplexen Technologieumgebungen schnell zurecht.\nErfahrung im technischen Support: Du hast technische Störungen bereits eigenverantwortlich bearbeitet – insbesondere im telefonischen Support, von der strukturierten Aufnahme und Priorisierung bis zur nachhaltigen Lösung.\nSicher in der direkten Kommunikation: Du behältst in kritischen Situationen stets die Ruhe und kommunizierst stets technisch klar, souverän und lösungsorientiert.\nLernbereit & wissbegierig: Du willst verstehen, wie Systeme wirklich funktionieren, entwickelst dich kontinuierlich weiter und setzt moderne Tools und KI gezielt ein, um effizienter zu arbeiten.\nDeutsch- und Englischkenntnisse: Du sprichst sehr gutes Deutsch (mind. C1) und bist auch im Englischen sicher – für klare, professionelle Zusammenarbeit in internationalen Teams.\nBereitschaft zum Schichtdienst: Selbstverständlich mit entsprechendem Ausgleich.\nInfrastruktur-Know-how als Plus: Erfahrung mit Netzwerktechnik, Servern, Virtualisierung oder moderner Infrastruktur ist ein Plus, aber keine Bedingung.\nNeugier auf KI & Automatisierung: Interesse an KI-Modellen und/oder erste Erfahrung mit Workflow-Tools wie n8n runden dein Profil ab.\n\nÜber uns\n\nBei goodBytz bist du mehr als nur ein Teil eines Teams – du wirst eine wichtige Mitgestalterin bzw. ein wichtiger Mitgestalter sein.\n\nWir suchen Kolleg:innen, die nicht nur mitdenken, sondern auch den Mut haben, kritische Gedanken zu äußern. Denn Respekt, Vertrauen und ein offener Austausch sind für uns die Basis für Erfolg und Zufriedenheit.\n\nEs Erwarten Dich\n\ngoodBytz Culineers Canteen:\n\nUnser Demo-Roboter felix versorgt dich rund um die Uhr mit frischen Mahlzeiten zu einem vergünstigten Mitarbeiterpreis.\n\nMental Health Matters\n\nZugang zur Mental-Health-Plattform OpenUp, auf der du vertrauliche 1:1-Sessions mit zertifizierten Psycholog*innen, Gesundheits- und Finanzexpert*innen buchen kannst – wann immer du sie brauchst. Bis zu zwei Familienmitglieder erhalten ebenfalls einen personalisierten Zugang.\n\nBikeleasing\n\nDein neues Fahrrad wartet schon auf dich! Nach bestandener Probezeit kannst du unser Bike-Leasing-Angebot nutzen und dir dein Traumrad aussuchen.\n\nFlexible Arbeitszeiten\n\nDie Möglichkeit, remote zu arbeiten (soweit die Position es zulässt) und flexible Arbeitszeitgestaltung für eine gute Work-Life-Balance sind für uns selbstverständlich.\n\nDein persönliches Benefit – du hast die Wahl\n\nBei goodBytz weißt du selbst am besten, was zu dir passt. Deshalb hast du die Wahl zwischen:\n\nZuschuss zur Urban Sports Club Mitgliedschaft \nZuschuss zum Deutschlandticket (hvv Jobticket Premium)\nEdenred City Karte\n\nUnsere Mission\n\ngoodBytz entwickelt intelligente Kochroboter. Diese ermöglichen es professionellen Köch:innen, ihre Kochkunst qualitativ hochwertig skalierbar und reproduzierbar zu machen. Gleichzeitig liefern wir kulinarischen Ideengeber:innen aus der ganzen Welt eine umfassende Lösung basierend auf Robotern, AI und Big Data Tools, so dass unserer Gesellschaft eine nachhaltigere Produktion und Zubereitung von Lebensmitteln ermöglicht wird. Zeitgleich wird hochqualitatives, nachhaltiges und leckeres Essen der Breite zugänglich gemacht. Unsere Roboterküchen sind in der Lage, alle Prozesse des Kochens, beginnend beim Portionieren der Zutaten bis hin zum Waschen von Töpfen durchzuführen. Die integrierte Sensorik ermöglicht eine präzise Überwachung und Steuerung der Kochprozesse, wodurch kontinuierlich eine hohe Qualität erreicht wird.\n\nUnsere Werte \n\nBei goodBytz möchten wir, dass all unsere Mitarbeiter:innen ihre Leidenschaft, Kreativität und Individualität in die Arbeit einbringen können. Mit einem hohen Maß an Autonomie und Transparenz in allen Arbeitsbereichen wird Jede:r in die Lage versetzt, schnelle und unabhängige Entscheidungen zu treffen. Wir glauben, dass großartige Teams aus unterschiedlichen Perspektiven, Erfahrungen und Hintergründen entstehen. Bei goodBytz sind alle Menschen willkommen - unabhängig von Geschlecht, Geschlechtsidentität, Herkunft, Nationalität, Religion, Alter, sexueller Orientierung oder Behinderung. Wenn du im Bewerbungsprozess individuelle Anpassungen oder Unterstützung benötigst, sag uns einfach Bescheid - wir kümmern uns gerne darum. Schließe dich unserer Mission an, und demokratisiere gemeinsam mit uns gesundes, nachhaltiges und leckeres Essen.\n\nDein neuer Arbeitsplatz ist mehr als nur ein Job – er ist eine Chance, Teil von etwas Großem zu sein. Werde Teil von goodBytz und lass uns gemeinsam die Zukunft gestalten!\n… 更多\n\n订阅相似职位\n\n系统工程师，德国 汉堡 汉堡\n\n关", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 汉堡 汉堡 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 0, "reasons": [], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4452589501", "title": "Senior Full-Stack Engineer - Platform Team (Czechia)", "company": "GeoEdge", "location": "捷克 (远程办公)", "salary_text": "", "posted": "1 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4452589501/", "queries": [ "AI infrastructure engineer @ Worldwide", "Platform engineer Kubernetes @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nGeoEdge\n\nSenior Full-Stack Engineer - Platform Team (Czechia) \n\n捷克 · 已转发的时间: 1 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 积极审核申请者\n\n远程办公\n全职\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nJulia Jawetz Kirjner \n\n• 3度+\n\nTalent Acquisition Partner\n\n职位发布者\n\n发消息", "description": "About GeoEdge\n\nGeoEdge's ad-quality and security platform screens billions of ad impressions a day for malicious and low-quality content. It's an adversarial problem that never stays solved — the threats evolve, and so do we.\n\nAbout The Position\n\nWe're hiring a Senior Full-Stack Engineer for our Platform team, which owns every application in the company: the products our customers use and the internal tools we run on. This is a remote position.\n\nWide surface, small team, real say in what gets built. You'll own features end to end — refinement with Product and QA, Angular front end, Node services, AWS pipelines, deploy, and production afterwards.\n\nThis is a remote role for residents of Czechia. \n\nResponsibilities\n\nOwn features end to end, from refinement with Product and QA through to production\nBuild and maintain Angular front ends, including shared components used across multiple applications\nDevelop back-end services in Node (NestJS or equivalent)\nDesign and build AWS data and processing pipelines\nOwn deployment and production — monitoring, debugging, and improving what you ship\nBuild and maintain CI/CD, and automate the repetitive parts of the work\nDesign solutions that scale, and keep documentation accurate as you go\n\nRequirements:\n\n5+ years of full-stack experience with genuine depth on both sides\nDeep JavaScript and TypeScript fundamentals, and real client-side knowledge — not just a framework\nStrong Angular at current versions, plus a shared component library or design system you've built across more than one app\nStrong back end — NestJS or equivalent\nReal AWS skill: Lambda, Step Functions, SQS, MongoDB, Redis, OpenSearch, Athena\nExperience with monorepos and CI/CD you've built yourself\nAt home in production\nExcellent English and the confidence to talk to anyone on the team\nExcellent with AI tooling — using it at every stage of the work, automating the repetitive parts, and keeping documentation accurate as a by-product.\nReact — nice to have\n… 更多\n\n订阅相似职位\n\n全栈工程师，捷克\n\n关", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：捷克 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 82, "reasons": [ "+15 React前端", "+12 TypeScript", "+15 Go语言", "+8 DevOps/CI", "+8 MongoDB", "+6 Redis", "+8 全栈", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4459748137", "title": "SRE / Infrastructure Engineer", "company": "PeopleX Inc. Active Connector Group", "location": "日本 Tokyo (远程办公)", "salary_text": "", "posted": "", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4459748137/", "queries": [ "AI infrastructure engineer @ Worldwide", "AI infrastructure engineer @ Asia", "Python backend engineer @ Asia", "Platform engineer Kubernetes @ Worldwide", "Golang backend engineer @ Asia", "Full stack engineer Python React @ Asia", "Platform engineer Kubernetes @ Asia" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nPeopleX Inc. Active Connector Group\n\nSRE / Infrastructure Engineer \n\n日本 Tokyo · 已转发的时间: 2 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 积极审核申请者\n\n远程办公\n全职\n0 项技能匹配，共 8 项技能\n快速申请\n保存", "description": "Job ID: 08072\n\nSRE / Infrastructure Engineer, ML Platform\n\nLocation: Tokyo, Japan\n\nWork Style: Hybrid / Remote Work Available\n\nSalary: ¥7,008,000 - ¥11,000,000\n\nAbout the Role\n\nOur client is looking for an SRE / Infrastructure Engineer to take ownership of infrastructure supporting its ML Ops Platform, Digital Bank, and fintech products.\n\nYou will play a key role in preparing the infrastructure for the company's planned Digital Bank launch, with a strong focus on reliability, security, observability, and high availability.\n\nThis is an opportunity to own infrastructure end to end while working closely with application engineers, ML engineers, data teams, and other SREs.\n\nResponsibilities\n\nDesign, build, and operate AWS infrastructure using Terraform\nBuild reliable infrastructure for serving interfaces, data pipelines, and ML platforms\nDesign secure network architectures using VPC, PrivateLink, VPC Peering, TLS/mTLS\nEstablish monitoring, alerting, SLOs/SLA and incident response processes\nImprove observability using CloudWatch\nSupport integration between Databricks and the ML Ops Platform\nOptimize CI/CD pipelines and container-based deployments\nCollaborate with data, product, ML, and SRE teams across the group\n\nTech Stack\n\nAWS, ECS Fargate, API Gateway, VPC, PrivateLink, SageMaker, S3, Glue, CloudWatch, Databricks, Terraform, GitHub Actions, Docker, Python, Shell, SQL\n\nThe team also actively uses AI development tools such as Claude Code.\n\nRequirements\n\nMust Have:\n\nAround 5+ years of experience as an SRE or Infrastructure Engineer\nHands-on AWS experience with services such as ECS, API Gateway, VPC, and IAM\nProfessional experience using Terraform for IaC and automation\nExperience with networking and security, including VPC Peering, AWS PrivateLink, TLS/mTLS\nExperience building and operating cloud observability and monitoring systems\nExperience with CI/CD and Docker\nBusiness-level Japanese\nBasic business-level English (TOEIC 700+ equivalent)\n\nNice to Have:\n\nInfrastructure experience supporting MLOps or data platforms\nExperience with SageMaker, Databricks, or Airflow\nExperience establishing SLO/SLA, on-call, and incident response processes\nFinancial services or payments security/audit experience\nExperience building shared platforms across multiple teams or organizations\n\nWhy Join?\n\nOwn infrastructure supporting a major Digital Bank and fintech initiative\nWork with modern AWS, MLOps, cloud security, and observability technologies\nStrong ownership and autonomy over infrastructure\nCollaborate closely with ML, application, data, and product engineers\nOpportunity to shape architecture and operational processes from an early stage\nWork in an environment actively adopting AI development tools\n\nWe also have several other software engineering, SRE, infrastructure, data, and AI roles available, so if this position isn't the right fit, we'd be happy to explore other opportunities with you.\n\n… 更多\n\n订阅相似职位\n\nSRE / Infrastructure Engineer，日本 Tokyo\n\n关\n想找到好工作？\n\n找简历达人帮忙\n\n获取简历修改建议\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：日本 Tokyo (远程办公)，JD 未声明可全球", "salary_min": null, "score": 36, "reasons": [ "+20 Python后端", "+8 Docker", "+8 DevOps/CI" ], "tier": "general", "ai_hits": [ "ml engineer" ], "neg": {}, "pos": [], "new": false }, { "id": "4472479194", "title": "ML Infrastructure Engineer", "company": "DocVerify", "location": "美国 (远程办公)", "salary_text": "", "posted": "8 小时前", "easy_apply": false, "url": "https://www.linkedin.com/jobs/view/4472479194/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nDocVerify\n\nML Infrastructure Engineer\n\n美国 · 的时间: 8 小时前 · 46 位会员点击了申请\n\n领英站外管理的回复\n\n远程办公\n全职\n申请\n保存", "description": "01About the role\n\nOur forensic engine runs multiple vision models per request — ELA analysis, compression artifact detection, font consistency checks, and transformer-based fraud classifiers. As an ML Infrastructure Engineer, you'll own the systems that train, version, deploy, and serve these models at scale. You'll ensure every API call returns in under 200ms while maintaining full auditability and zero-downtime deployments.\n\n02What you'll do\n\n>Build and maintain the model serving infrastructure on GCP (Cloud Run, GKE, or Vertex AI).\n>Design the CI/CD pipeline for model training, evaluation, and promotion to production.\n>Implement model versioning, canary deployments, and A/B testing frameworks.\n>Optimize inference latency through batching, quantization, and hardware-aware compilation.\n>Build monitoring and alerting for model performance, drift detection, and throughput.\n>Manage GPU/TPU resource allocation and cost optimization across training and serving.\n\n03What we're looking for\n\n>3+ years in ML infrastructure, MLOps, or backend systems engineering.\n>Strong experience with Kubernetes, Docker, and cloud-native deployments on GCP or AWS.\n>Hands-on experience with model serving frameworks (Triton, TorchServe, TF Serving, or similar).\n>Proficiency in Python and at least one systems language (Go, Rust, or C++).\n>Experience with CI/CD pipelines for ML (MLflow, Kubeflow, or custom).\n>Understanding of GPU inference optimization (TensorRT, ONNX Runtime).\n\n04Nice to have\n\n+Experience with Vertex AI or SageMaker in production.\n+Background in real-time serving systems with strict latency SLAs (\n+Familiarity with cost modeling for GPU workloads.\n+Experience with distributed training across multiple GPUs/nodes.\n+Terraform or Pulumi for infrastructure-as-code.\n… 更多\n\n订阅相似职位\n\n基础设施工程师，美国\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：美国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 69, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI", "+8 分布式/微服务" ], "tier": "eval", "ai_hits": [ "evaluation" ], "neg": {}, "pos": [], "new": false }, { "id": "4472467073", "title": "Site Reliability Engineer", "company": "SecondWind by Joveo", "location": "英国 (远程办公)", "salary_text": "", "posted": "12 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4472467073/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nSecondWind by Joveo\n\nSite Reliability Engineer\n\n英国 · 的时间: 13 小时前 · 67 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nShubham Singh Chandel \n\n• 3度+\n\nChief Strategic Initiatives & Global Supply Officer | AI Labs Delivery | Startup Advisor\n\n职位发布者\n\n发消息", "description": "Role: Site Reliability Engineer\nLocation: Remote\nEmployment Type: Full-time\n\nCompensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $130,000 – $200,000 (USD equivalent), plus benefits.\n\nRole Overview\n\nWe are hiring a Site Reliability Engineer to keep production reliable, observable, and fast. The role combines software engineering with operations — automating away toil and treating reliability as a first-class engineering problem.\n\nKey Responsibilities\n\n- Design and operate systems for high availability and performance\n\n- Build and maintain observability tooling (logging, metrics, tracing)\n\n- Define and track SLOs, SLIs, and error budgets\n\n- Lead incident response and post-mortem reviews\n\n- Automate operational toil through tooling and platform improvements\n\n- Partner with application teams on production readiness\n\nRequired Skills and Qualifications\n\n- 4+ years in SRE, DevOps, or infrastructure engineering\n\n- Strong scripting and software engineering skills (Python, Go, or similar)\n\n- Deep experience with cloud platforms (AWS, GCP, Azure)\n\n- Hands-on with Kubernetes, Terraform, and observability platforms\n\n- Experience leading incident response in production environments\n\n- Strong understanding of distributed systems\n\nWhat You'll Bring\n\n- Curiosity to dig into systems and turn findings into shipped improvements\n\n- Strong written communication and ability to explain technical decisions\n\n- A test-and-learn mindset; you ship fast, measure, and iterate\n\n- Comfort working asynchronously across time zones\n\nWhat We Offer\n\n- Fully remote, flexible work hours\n\n- Performance-based bonus structure\n\n- Annual learning & development stipend\n\n- Health and wellness benefits (varies by location)\n\n- Opportunity to work on high-scale, real-world impact projects\n\nEqual Opportunity Statement\n\nThis is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.\n\n… 更多\n\n订阅相似职位\n\n现场可靠性工程师，英国\n\n关", "applicants": "67", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：英国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 71, "reasons": [ "+20 Python后端", "+15 Go语言", "+10 Kubernetes", "+8 DevOps/CI", "+8 分布式/微服务", "+10 高级职位" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [ "async明说", "书面优先" ], "new": false }, { "id": "4472444976", "title": "DevOps / Platform Engineer (m/w/d)", "company": "WertFels GmbH", "location": "德国 (远程办公)", "salary_text": "", "posted": "13 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4472444976/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nWertFels GmbH\n\nDevOps / Platform Engineer (m/w/d) \n\n德国 · 的时间: 13 小时前 · 48 位申请者\n\n由招聘者推广 • 尚无可用回复洞察\n\n远程办公\n全职\n快速申请\n保存\n人脉推荐\n\n了解招聘团队\n\nParsa J. \n\n• 3度+\n\nCISSP | Founder & CEO @ WertFels | Identity Security for Banks, Insurers and Regulated Companies | IAM, PAM, Identity Governance, AI Agent Identity\n\n职位发布者\n\n发消息", "description": "Bei WertFels bauen wir unabhängige IAM und PAM Beratung für Banken, Versicherungen und die Automobilbranche auf. Wir arbeiten für Kunden wie MAN, apoBank und Toyota und wachsen als junges Beratungshaus stetig weiter. Als DevOps beziehungsweise Platform Engineer gestalten Sie von Anfang an mit, wie wir Infrastruktur und Betrieb für unsere IAM Projekte aufbauen.\n\nIhre Aufgaben\n\nAufbau und Pflege von CI/CD Pipelines für unsere Projektumgebungen\nBetrieb und Automatisierung von Cloud Infrastruktur, unter anderem Azure\nContainerisierung und Orchestrierung mit Docker und Kubernetes\nInfrastructure as Code mit Terraform oder vergleichbaren Werkzeugen\nAbsicherung der Betriebsumgebungen inklusive Umgang mit Secrets und Zugriffskontrollen\nEnge Zusammenarbeit mit unseren IAM und PAM Beraterinnen und Beratern\n\nIhr Profil\n\nMehrjährige Erfahrung im DevOps oder Platform Engineering Umfeld\nFundierte Kenntnisse in Cloud Infrastruktur, Kubernetes und Infrastructure as Code\nVerhandlungssicheres Deutsch\nInteresse an Identity und Access Management sowie an Themen wie Non Human Identities und agentischer KI\nSelbstständige, strukturierte Arbeitsweise\n\nVon Vorteil\n\nZertifizierungen wie Certified Kubernetes Administrator oder Terraform Associate\nErfahrung mit Microsoft Azure oder AWS\nErste Berührungspunkte mit IAM oder PAM Projekten\n\nWir bieten\n\nUnbefristete Festanstellung\nRemote in Deutschland und Österreich\nIndividuelle Weiterbildung\nFlache Hierarchien und kurze Entscheidungswege\n\nMehr zur Rolle unter wertfels.com/karriere/devops-platform-engineer\n\nBewerbung direkt über LinkedIn oder an info@wertfels.com.\n\n… 更多\n\n订阅相似职位\n\n平台工程师，德国\n\n关", "applicants": "48", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 26, "reasons": [ "+10 Kubernetes", "+8 Docker", "+8 DevOps/CI" ], "tier": null, "ai_hits": [], "neg": {}, "pos": [], "new": false }, { "id": "4433196297", "title": "Senior Software Engineer - AI/ML", "company": "Mitratech", "location": "德国 拜恩 慕尼黑 (远程办公)", "salary_text": "", "posted": "19 小时前", "easy_apply": true, "url": "https://www.linkedin.com/jobs/view/4433196297/", "queries": [ "AI infrastructure engineer @ Worldwide" ], "top_card": "0 个通知\n跳到主要内容\n跳到主要内容\n跳到旁栏\n跳到页脚\n主页\n1\n人脉\n职位\n1\n消息\n7\n通知\n我\n对于 Business\n\nMitratech\n\nSenior Software Engineer - AI/ML \n\n德国 拜恩 慕尼黑 · 已转发的时间: 19 小时前 · 超过 100 位申请者\n\n由招聘者推广 • 积极审核申请者\n\n远程办公\n全职\n快速申请\n保存", "description": "At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.For over 35 years, the experts at Mitratech have been focused on solving complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!\n\n \n\nGiven our continued growth, we always have room for more intellect, energy, and enthusiasm - join our global team and see why it's so special to be a part of Mitratech!\n\nJob Overview \n\nWe are seeking a highly skilled Senior Software Engineer specialising in Generative AI and Large Language Models, with a strong focus on agentic systems, Retrieval-Augmented Generation, and AI evaluations, to join our dynamic team. The ideal candidate will play a pivotal role in architecting and delivering production-grade AI solutions that meet complex business objectives effectively. This position requires a blend of expertise in modern AI technologies and software engineering, along with a passion for staying at the forefront of  advancements.\n\nEssential Duties & Responsibilities:\n\nDesign, build, and operate multi-agent workflows and tool-enabled agents, implementing orchestration logic, state management, safety guardrails, and fallback strategies for resilient production pipelines.\nArchitect and maintain end-to-end RAG systems, covering document ingestion, chunking, embedding, vector retrieval, reranking, and answer synthesis with a focus on quality, attribution, and latency.\nEvaluate and integrate LLMs and GenAI services across cost, performance, and privacy dimensions, selecting the right mix of managed and in-house models.\nDevelop, version, and optimise prompting strategies; implement automated prompt testing and regression tracking to maintain output quality and reliability.\nDefine and own evaluation frameworks for generative outputs, including automated metrics, LLM-as-judge approaches, human evaluation protocols, hallucination detection, and drift monitoring.\nApply classical NLP techniques where appropriate and maintain awareness of data distribution shifts that could impact model behaviour in production.\nBuild and operate scalable, secure AI infrastructure on AWS (Bedrock, SageMaker, Lambda, OpenSearch), following well architected principles and infrastructure-as-code practices.\nOwn the full deployment lifecycle: CI/CD for models and agents, testing strategies, observability, and rollback procedures.\nEnsure data quality through rigorous validation and augmentation, and proactively source datasets for training, fine-tuning, and evaluation.\n\nRequirements & Skills:\n\nAgent Orchestration: Production experience designing multi-agent systems with tool use, memory/state management, and fault-tolerant routing. Familiarity with LangChain, LangGraph, AutoGen, or custom orchestrators.\nRAG & Retrieval: Hands-on experience building RAG pipelines end-to-end: chunking, embedding models, vector databases, retrieval tuning, and answer synthesis at production scale.\nEvaluations: Strong experience defining and running evaluation pipelines for generative AI — automated scoring, human evaluation design, hallucination mitigation, and drift monitoring. LLM-as-judge patterns are a plus.\nLLMs & GenAI: Demonstrated experience with foundation models and GenAI providers (AWS Bedrock, OpenAI, Anthropic, Meta). Comfortable with fine-tuning, instruction tuning, and prompt engineering at scale.\nTraditional NLP: Solid grounding in classical NLP techniques (NER, text classification, intent detection, topic modelling) and good judgement on when to apply them alongside or instead of LLMs.\nAWS Bedrock: Hands-on experience with Amazon Bedrock: foundation model APIs, Bedrock Agents, Knowledge Bases, and Guardrails. Experience with Bedrock Model Evaluation is a plus.\nAWS Ecosystem: Proficiency with SageMaker, Lambda, ECS/EKS, S3, OpenSearch, IAM, CloudWatch, and VPC networking.\nMLOps & CI/CD: Familiarity with model registries, CI/CD for ML, feature stores, canary deployments, monitoring, and rollback.\nIaC: Experience with Terraform or AWS CDK for reproducible infrastructure provisioning.\nPython: Production-quality Python: packaging, testing (pytest), type hints, async programming, and clean ML pipeline abstractions.\nML Frameworks: Familiarity with traditional ML frameworks and fine-tuning workflows.\nExperiment Tracking: Experience with Langfuse, Arize or Langsmith, or equivalent for tracking runs, metrics, and artefacts.\nAbility to translate ambiguous business goals into concrete technical solutions and communicate tradeoffs to non-technical stakeholders.\nStrong collaborative instincts — comfortable working across engineering, product, and data teams.\nA rigorous, evidence-driven mindset: you ship with confidence because you measure, test, and monitor thoroughly.\n\nEducation:                         \n\nA Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.\n\nWe are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.\n\n… 更多\n\n订阅相似职位\n\nSenior Software Engineer - AI/ML，德国 拜恩 慕尼黑\n\n关\n\n在招人？\n\n立即发布职位\n\n关于\n\n无障碍模式\n\n人才解决方案\n\n社区准则\n\n招聘专版\n\n营销解决方案 \n\n隐私政策和条款\n\n广告设置\n\n广告\n\n销售解决方案\n\n移动端\n\n小型企业\n\n安全中心\n\nLinkedIn Corporation © 2026 年\n\n需要咨询？\n\n欢迎访问帮助中心。\n\n管理帐号和隐私\n\n前往设置。\n\n推荐透明度\n\n详细了解推荐内容。\n\n选择语言\n\nالعربية (阿拉伯语)\nবাংলা (孟加拉语)\nČeština (捷克语)\nDansk (丹麦语)\nDeutsch (德语)\nΕλληνικά (希腊语)\nEnglish (英语)\nEspañol (西班牙语)\nفارسی (波斯语)\nSuomi (芬兰语)\nFrançais (法语)\nहिंदी (印地语)\nMagyar (匈牙利语)\nBahasa Indonesia (印尼语)\nItaliano (意大利语)\nעברית (希伯来语)\n日本語 (日语)\n한국어 (韩语)\nमराठी (马拉地语)\nBahasa Malaysia (马来语)\nNederlands (荷兰语)\nNorsk (挪威语)\nਪੰਜਾਬੀ (旁遮普语)\nPolski (波兰语)\nPortuguês (葡萄牙语)\nRomână (罗马尼亚语)\nРусский (俄语)\nSvenska (瑞典语)\nతెలుగు (泰卢固语)\nภาษาไทย (泰语)\nTagalog (他加禄语)\nTürkçe (土耳其语)\nУкраїнська (乌克兰语)\nTiếng Việt (越南语)\n简体中文 (简体中文)\n正體中文 (繁体中文)", "applicants": "100", "region": "地区受限", "bad_words": [], "region_note": "按国家招聘：德国 拜恩 慕尼黑 (远程办公)，JD 未声明可全球", "salary_min": null, "score": 53, "reasons": [ "+20 Python后端", "+8 DevOps/CI", "+15 AI/LLM/评测", "+10 高级职位" ], "tier": "agent", "ai_hits": [ "agentic", "multi-agent", "langchain", "langgraph", "rag", "retrieval-augmented", "tool use", "evaluations", "model evaluation", "guardrails", "hallucination", "data quality" ], "neg": {}, "pos": [], "new": false } ]