Senior Software Engineer - Managed Kubernetes

Highlights

• Build managed Kubernetes purpose-built for AI on bare metal.
• Power next-gen AI training and inference at global scale.
• Enable AI breakthroughs on massive-scale GPU clusters.

What they offer

• Cash and equity compensation
• Health, dental, and vision coverage for you and dependents
• Wellness and commuter stipends for select roles
• 401k plan with 2% company match
• Flexible paid time off plan

Ideal candidate

Systems-minded builder who owns complex infrastructure end-to-end and thrives on reliability at scale. You care about elegant simplicity for AI teams and turn distributed-systems complexity into dependable platforms.

Requirements

• 6+ years of experience in software engineering with ownership of significant technical scope from design through production
• Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI and extension patterns
• Solid grasp of distributed systems fundamentals including fault tolerance and failure handling at scale
• Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters
• Experience with observability at scale: Prometheus, Grafana, distributed tracing and actionable alerting
• Strong programming skills in Go and Python with ability to collaborate on shared codebases
• Solid knowledge of Linux systems, networking and containers