Senior Site Reliability Engineer, Lambda

• 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
• You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills

Desirable

• 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
• 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
• 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