Senior Site Reliability Engineer - Managed Kubernetes at Lambda | CA, US | Rezi

Senior Site Reliability Engineer - Managed Kubernetes at Lambda

Senior Site Reliability Engineer - Managed Kubernetes

Lambda · CA, US

1 months ago

Senior Site Reliability Engineer - Managed Kubernetes

Lambda · CA, US

a month ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Senior Site Reliability Engineer - Managed Kubernetes role.

Rezi rewrites your resume against Lambda's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Site Reliability Engineer - Managed Kubernetes posting at Lambda — free, in seconds.

About the Role

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. Join us to build the world's best AI cloud.

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 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 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

Skills

  • Go
  • Python
  • GitOps
  • ArgoCD
  • Helm
  • Kubernetes operators
  • Prometheus
  • Grafana
  • FluentBit
  • CI/CD pipelines
  • kubeadm
  • Cluster API
  • CRDs
  • CSI
  • CNI

Location

  • San Francisco
  • San Jose
  • Bellevue

Work Type

  • Hybrid

Experience Level

  • 6+ years

Salary/Compensations

  • Salary range information provided, but specific range not detailed.

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

About the Company

  • Founded in 2012, with 500+ employees, and growing fast
  • Investors 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
  • Research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Values publicly available: https://lambda.ai/careers

Equal Opportunity

  • 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.