{"schemaVersion":"jobsearcher.job.v1","id":"ff8c2cc9ec8e9b4a7bbaeaa8","url":"https://jobsearcher.com/jobs/ff8c2cc9ec8e9b4a7bbaeaa8","canonicalUrl":"https://jobsearcher.com/jobs/ff8c2cc9ec8e9b4a7bbaeaa8","title":"Senior Site Reliability Engineer - Managed Kubernetes","description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nWhat You’ll Do\n\nOperate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes\n\nHandle cluster degradation, recovery, resizing, and incident response using fleet management tools\n\nParticipate in a well-managed on-call rotation for critical incidents\n\nAssist customers with Kubernetes questions, workload integration, storage, and authentication\n\nWork closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issues\n\nUse Python and Golang to create tooling and automate the validation of platform quality.\n\nDesign, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes\n\nDevelop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion.\n\nDefine and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability.\n\nYou\n\n6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systems\n\nStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators\n\nProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)\n\nCan work either independently with limited direction or as part of a team\n\nCan work with customers during incidents either via tickets, live messaging, or as part of a larger call.\n\nFamiliarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines\n\nProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar\n\nNice To Have\n\nDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience\n\nExposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters\n\nHybrid or multi-cloud Kubernetes environment experience\n\nContributions to CNCF projects or Kubernetes SIGs\n\nWhy Join Us\n\nWork on cutting-edge Managed Kubernetes platforms for AI/ML workloads\n\nInfluence the platform roadmap and help shape operations and reliability best practices\n\nCollaborate with a highly skilled engineer\n\nOpportunity to mentor and grow within a fast-growing, technology-driven environment\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\n\nCompensation Range: $240K - $356K","company":"Lambda","rawCompany":"lambda","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-17T13:12:12.801Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Site Reliability Engineer - Managed Kubernetes","description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nWhat You’ll Do\n\nOperate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes\n\nHandle cluster degradation, recovery, resizing, and incident response using fleet management tools\n\nParticipate in a well-managed on-call rotation for critical incidents\n\nAssist customers with Kubernetes questions, workload integration, storage, and authentication\n\nWork closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issues\n\nUse Python and Golang to create tooling and automate the validation of platform quality.\n\nDesign, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes\n\nDevelop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion.\n\nDefine and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability.\n\nYou\n\n6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systems\n\nStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators\n\nProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)\n\nCan work either independently with limited direction or as part of a team\n\nCan work with customers during incidents either via tickets, live messaging, or as part of a larger call.\n\nFamiliarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines\n\nProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar\n\nNice To Have\n\nDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience\n\nExposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters\n\nHybrid or multi-cloud Kubernetes environment experience\n\nContributions to CNCF projects or Kubernetes SIGs\n\nWhy Join Us\n\nWork on cutting-edge Managed Kubernetes platforms for AI/ML workloads\n\nInfluence the platform roadmap and help shape operations and reliability best practices\n\nCollaborate with a highly skilled engineer\n\nOpportunity to mentor and grow within a fast-growing, technology-driven environment\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\n\nCompensation Range: $240K - $356K","datePosted":"2026-08-17T13:12:12.801Z","dateModified":"2026-08-17T13:12:12.801Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ff8c2cc9ec8e9b4a7bbaeaa8"},"url":"https://jobsearcher.com/jobs/ff8c2cc9ec8e9b4a7bbaeaa8"}}