📋 Description

• 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
• Develop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion
• Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability

• 6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of
• Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and
• Proven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or
• 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
• Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines

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