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Engineering Manager, Kubernetes Platform (LKS)

Lambda

San Francisco, CA · HybridFull-time$297–440K/yrPosted 1 day agoStill listed today

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At a glance

Compensation
$297–440K/yr
Location
San Francisco, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Lambda is seeking an Engineering Manager to lead the team building customer-facing capabilities for Lambda Kubernetes Service, an API-first Kubernetes platform for AI training and inference. The role sets technical strategy and roadmap, delivers a reliable Kubernetes cluster experience, and develops managed add-ons and AI workload orchestration. The manager partners with infrastructure, product, and control-plane teams to deliver secure, supportable integrations and communicate progress, risks, and customer impact.

Skills & qualifications

RequiredNice to have

Skills

Team Leadership, requiredKubernetes Platforms, requiredManaged Kubernetes Services, requiredContainer Infrastructure, requiredKubernetes, requiredPlatform APIs, requiredOperators, requiredCluster Lifecycle, requiredTechnical Judgment, requiredTradeoff Analysis, requiredCross-Functional Collaboration, requiredCommunication, requiredGPU Operators, nice to haveAI Infrastructure, nice to haveGPU-Aware Kubernetes, nice to haveSlurm, nice to haveSlinky, nice to haveVolcano, nice to haveLLMD, nice to haveKueue, nice to haveRay, nice to haveKubernetes Networking, nice to haveKubernetes Storage, nice to haveKubernetes Upgrades, nice to haveManaged Add-on Catalogs, nice to have

Qualifications

9+ Years Software Engineering Experience, required3+ Years Engineering Team Leadership, requiredBS, MS, or PhD in Computer Science or Related Field or Equivalent Practical Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job 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.

If you'd like to build the world's best AI cloud, join us.

*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.

About the Role Lambda 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. You’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.

What You’ll Do

  • Build and lead the engineering team; hire strong engineers, develop technical leaders, and set a high bar for ownership and quality.

  • Define the technical strategy and roadmap for LKS platform capabilities and Kubernetes runtime.

  • Deliver a reliable baseline cluster experience using upstream, CNCF-conformant Kubernetes.

  • Own the integration and lifecycle of managed add-ons, including qualification, compatibility, releases, and customer choice.

  • Build Kubernetes capabilities for AI workloads, starting with Slurm through Slinky and evaluating options such as Volcano and LLMD as needs grow.

  • Partner with the Hosted Control Plane team on cluster lifecycle, upgrades, release readiness, and incident response.

  • Work across Lambda infrastructure and product teams to deliver secure, supportable integrations.

  • Communicate progress, risks, and customer impact clearly to leadership and partner teams.

You

  • Have 9+ years of software engineering experience, including 3+ years leading engineering teams.

  • Have built or operated Kubernetes platforms, managed Kubernetes services, or container infrastructure.

  • Bring strong technical judgment across Kubernetes, platform APIs, operators, and cluster lifecycle.

  • Can guide tradeoffs across extensibility, compatibility, security, reliability, and customer experience.

  • Build strong teams and work effectively across engineering, product, and infrastructure organizations.

  • Communicate clearly and turn ambiguous needs into pragmatic plans and results.

  • Hold a BS, MS, or PhD in Computer Science or a related field, or have equivalent practical experience.

Nice to Have

  • Experience with GPU operators, AI infrastructure, or GPU-aware Kubernetes.

  • Experience with Slurm, Slinky, Volcano, LLMD, Kueue, Ray, or similar orchestration systems.

  • Experience with Kubernetes networking, storage, upgrades, or managed add-on catalogs.

Salary Range Information The 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.

About Lambda

  • Founded in 2012, with 500+ employees, and growing fast

  • Our 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

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Our values are publicly available: https://lambda.ai/careers

  • We offer generous cash & equity compensation

  • Health, dental, and vision coverage for you and your dependents

  • Wellness and commuter stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible paid time off plan that we all actually use

Equal Opportunity Employer Lambda 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.

How this job compares

Set against the 5,572 open Engineering Manager jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$297–440K/yr
  • California median$186–280K/yr874 salary ranges
  • US median$144–261K/yr4,614 salary ranges

This range's midpoint, $369K, is 60% above the California median midpoint ($230K) — in the top quarter of Engineering Manager salary ranges in California.

Openings
Olive Jobs lists 1,007 open Engineering Manager jobs in California and 5,572 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 9 years of experience; Engineering Manager postings that state a minimum ask for 8 years at the median (4,887 postings).
Education
2,390 of the 5,572 open Engineering Manager jobs (43%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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