DirectJobHub
Jobs · Engineering · California

Senior Site Reliability Engineer - Managed Kubernetes

Lambda · San Francisco, CA · 1 wk ago
HybridEngineering$240k–$356k/yrFull-time

About the role

Lambda is a leader in AI cloud infrastructure serving tens of thousands of customers, from AI researchers to enterprises and hyperscalers. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. 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.

Responsibilities

  • 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

Requirements

  • 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)
  • Ability to work either independently with limited direction or as part of a team
  • Ability to work with customers during incidents 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

Benefits

  • 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

Pay

Compensation range: $240K - $356K annually.

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

About Lambda: Founded in 2012, Lambda has 500+ employees and is growing fast. Our investors include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, and others. We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG. Our values are publicly available at https://lambda.ai/careers.

Similar jobs