Senior Site Reliability Engineer - Managed Kubernetes

Neura Market; San Francisco, Northern (CA, KY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity compensation

Health, dental and vision coverage

Wellness and commuter stipends

401k with company match

Flexible paid time off

Job summary

Lambda in San Francisco/San Jose/Bellevue seeks an experienced Site Reliability Engineer to operate, scale, and maintain bare-metal Kubernetes clusters and related control plane services. You will develop automation in Go and Python, define SLOs/SLIs, and participate in a robust on-call rotation with cross-functional teams.

You will work with HPC Ops and Datacenter Ops and assist customers during incidents, leveraging GitOps, Helm, and Kubernetes operators to improve platform reliability and

Qualifications

• 6+ years of experience in a SRE/ops role with Linux cluster management
• Strong programming skills in Go and Python; experience with GitOps (ArgoCD), Helm, and Kubernetes operators
• Proven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar) for reliability and scale
• Ability to work independently or in a team and assist customers during incidents
• Familiarity with observability tooling (Prometheus, Grafana, FluentBit) and CI/CD pipelines
• Proven experience provisioning Kubernetes using kubeadm, Cluster API, or similar

Responsibilities

• Operate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes
• Handle cluster degradation, recovery, resizing, and incident response
• Participate in a well-managed on-call rotation for critical incidents
• Assist customers with Kubernetes questions, workload integration, storage, and authentication
• Work with HPC Ops and Datacenter Ops teams on cross-functional issues
• Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes
• Develop automation for cluster lifecycle management: provisioning, upgrades, patching, deletion
• Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability
• Explore HPC clusters, AI/ML workloads, or large-scale GPU clusters as needed
• Hybrid or multi-cloud Kubernetes environment experience and CNCF contributions are a plus

Skills

Go

Python

Kubernetes

GitOps (ArgoCD)

Helm

Kubernetes operators

Prometheus

Grafana

FluentBit

Tools

kubeadm

Cluster API

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.

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: "/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.