{"id":4295539,"url":"https://alion.io/job/lambda-engineering-manager-kubernetes-platform-lks","title":"Engineering Manager, Kubernetes Platform (LKS)","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","San Jose, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":297000,"max":440000,"currency":"USD","period":"year","gross":null,"usd_annual":440000},"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLURM","optional":false},{"name":"AWS","optional":true},{"name":"Machine Learning","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-11-13T21:16:29Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T01:03:28Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nIf you'd like to build the world's best AI cloud, join us.\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.\nAbout the Role\nLambda Kubernetes Service (LKS) is an API-first Kubernetes platform for AI training and inference on Lambda infrastructure. We’re looking for an Engineering Manager to lead the team building its customer-facing platform capabilities: cluster runtime, system components, managed add-ons, and AI workload orchestration.\nYou’ll lead the engineering team and partner with the Hosted Control Plane team and Lambda’s Compute, Networking, Storage, IAM, Security, and Product teams. The goal is a reliable, extensible Kubernetes experience from a functional vanilla cluster to vetted capabilities such as GPU and network operators, and orchestration options such as Slurm through Slinky.\nWhat You’ll Do\nBuild and lead the engineering team; hire strong engineers, develop technical leaders, and set a high bar for ownership and quality.\n\nDefine the technical strategy and roadmap for LKS platform capabilities and Kubernetes runtime.\n\nDeliver a reliable baseline cluster experience using upstream, CNCF-conformant Kubernetes.\n\nOwn the integration and lifecycle of managed add-ons, including qualification, compatibility, releases, and customer choice.\n\nBuild Kubernetes capabilities for AI workloads, starting with Slurm through Slinky and evaluating options such as Volcano and LLMD as needs grow.\n\nPartner with the Hosted Control Plane team on cluster lifecycle, upgrades, release readiness, and incident response.\n\nWork across Lambda infrastructure and product teams to deliver secure, supportable integrations.\n\nCommunicate progress, risks, and customer impact clearly to leadership and partner teams.\n\nYou\nHave 9+ years of software engineering experience, including 3+ years leading engineering teams.\n\nHave built or operated Kubernetes platforms, managed Kubernetes services, or container infrastructure.\n\nBring strong technical judgment across Kubernetes, platform APIs, operators, and cluster lifecycle.\n\nCan guide tradeoffs across extensibility, compatibility, security, reliability, and customer experience.\n\nBuild strong teams and work effectively across engineering, product, and infrastructure organizations.\n\nCommunicate clearly and turn ambiguous needs into pragmatic plans and results.\n\nHold a BS, MS, or PhD in Computer Science or a related field, or have equivalent practical experience.\n\nNice to Have\nExperience with GPU operators, AI infrastructure, or GPU-aware Kubernetes.\n\nExperience with Slurm, Slinky, Volcano, LLMD, Kueue, Ray, or similar orchestration systems.\n\nExperience with Kubernetes networking, storage, upgrades, or managed add-on catalogs.\n\nSalary Range Information\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.\nAbout Lambda\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\nLambda is an Equal Opportunity employer. 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