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 InformationThe 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.
