Senior Software Engineer - Managed Kubernetes

Highlights

• Build managed Kubernetes platform purpose-built for AI training and inference.
• Power mission-critical GPU workloads across Lambda's global AI cloud platform.
• Work at intersection of distributed systems and GPU-accelerated computing.

What they offer

• Generous 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 (USA employees)
• Flexible paid time off plan

Ideal candidate

Systems-minded builder who owns complex infrastructure end-to-end and cares about reliability, simplicity, and enabling AI breakthroughs at massive scale.

Requirements

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