Lambda
Senior Software Engineer - Managed Kubernetes
$230K–$346K
San Francisco Office (Fremont St) +2 · Hybrid · Senior · Full-time · Posted Sep 24, 2026
- Location
- San Francisco Office (Fremont St)
San Jose Office (First St)
Bellevue Office - Experience
- 6+ years of software engineering experience.
About the job
Build and operate Lambda’s managed Kubernetes and orchestration platform for large-scale AI training and inference workloads.
What you'll do
- Design Kubernetes control-plane services, operators, controllers, and automation for cluster lifecycle management.
- Build GPU-aware scheduling and inference platform services, collaborating on networking for AI workloads.
- Support production reliability through resilient distributed systems, observability, debugging, and on-call rotation.
What they ask for
- 6+ years of software engineering experience, including ownership of significant technical scope.
- Deep understanding of Kubernetes internals and experience operating control planes and low-level components of large-scale Kubernetes clusters.
- Strong Go and Python programming skills; solid distributed systems fundamentals.
- Knowledge of Linux systems, networking, containers, cloud infrastructure, and observability at scale.
Nice to have
- Experience building or operating managed Kubernetes services or control-plane components.
- Hands-on NVIDIA GPU/networking ecosystem experience; familiarity with HPC schedulers, AI/ML storage, or CNCF/Kubernetes contributions.
Pay
$230K – $346K • Multiple Ranges (USD; salary range; base salary or total pay not specified)
Tools
Kubernetes, Go, Python, Prometheus, Grafana, Cilium, Multus, NVIDIA
AI focus
Build infrastructure for AI training and inference, including GPU-aware orchestration, model serving, inference autoscaling, and multi-model deployment.
Model-written summary · the original posting is authoritative