Lambda Logo

Lambda

Senior Site Reliability Engineer - Managed Kubernetes

Sorry, this job was removed at 01:16 p.m. (PST) on Thursday, Oct 15, 2026
Remote or Hybrid
2 Locations
240K-356K Annually
Senior level
Remote or Hybrid
2 Locations
240K-356K Annually
Senior level

Similar Jobs

13 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
115K-194K Annually
Senior level
115K-194K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Own the technical strategy for GitLab’s strategic technology partnerships, translating partner roadmaps into integrations, architecture, and product opportunities. Evaluate AI models and agents, build prototypes, facilitate technical workshops, develop business cases, and influence product roadmaps. Coordinate Engineering, Product, Finance, FinOps, Sales, Marketing, R&D, and partner teams through delivery while tracking cloud, AI, and DevSecOps developments. The role is remote and requires quarterly travel with EMEA-overlapping hours.
Top Skills: Agent FrameworksAi Model Evaluation FrameworksAmazon Web Services (Aws)Ci/CdDevsecopsFinopsGitlabGCPLarge Language Model (Llm) ApisAzureModel Context Protocol (Mcp)
23 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
80K-150K Annually
Mid level
80K-150K Annually
Mid level
Fintech • Mobile • Software • Financial Services
Manage strategic sourcing and procurement projects across financial services categories, including RFPs, renewals, supplier negotiations, benchmarking, spend analysis, and cost-saving initiatives. Partner with Legal, Finance, Risk, Compliance, Information Security, and business stakeholders to evaluate suppliers, negotiate commercial terms, manage contracts, monitor supplier performance, and ensure procurement governance. Prepare financial analyses, business cases, savings forecasts, and executive recommendations while managing multiple cross-functional projects.
Top Skills: Contract-Management SystemsCoupaExcelGoogle SheetsIroncladProcurement SystemsVenminderWorkday
28 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
195K-230K Annually
Senior level
195K-230K Annually
Senior level
Artificial Intelligence • Fintech • Software • Travel
Own go-to-market strategy and execution for Engine’s OBT+ TMC partnership channel. Prospect, negotiate, and close strategic TMC agreements; develop commercial models, pricing inputs, ROI cases, and launch plans; influence product roadmaps; coordinate with Product, Engineering, Supply, Implementation, Legal, Finance, and Marketing; and represent Engine at corporate travel events and executive meetings.
Top Skills: AmadeusGdsSabreTravelport
Operate and scale bare-metal Kubernetes clusters to thousands of nodes, manage incidents and on-call rotation, support customers, collaborate with HPC/datacenter teams, build automation and tooling in Go/Python, create control-plane services/operators, automate cluster lifecycle, and define SLOs/SLIs for platform reliability.
The summary above was generated by AI

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.


Engineering 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.


What You’ll Do

  • Operate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes

  • Handle cluster degradation, recovery, resizing, and incident response using fleet management tools

  • Participate in a well-managed on-call rotation for critical incidents

  • Assist customers with Kubernetes questions, workload integration, storage, and authentication

  • Work closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issues

  • Use Python and Golang to create tooling and automate the validation of platform quality.

  • Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes

  • Develop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion.

  • Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability.

You

  • 6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systems

  • Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators

  • Proven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)

  • Can work either independently with limited direction or as part of a team

  • Can work with customers during incidents either via tickets, live messaging, or as part of a larger call.

  • Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines

  • Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar

Nice To Have

  • Deep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience

  • Exposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters

  • Hybrid or multi-cloud Kubernetes environment experience

  • Contributions to CNCF projects or Kubernetes SIGs

Why Join Us

  • Work on cutting-edge Managed Kubernetes platforms for AI/ML workloads

  • Influence the platform roadmap and help shape operations and reliability best practices

  • Collaborate with a highly skilled engineer

  • Opportunity to mentor and grow within a fast-growing, technology-driven environment

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.

HQ

Lambda San Francisco, California, USA Office

San Francisco, CA, United States, 94107

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account