# Senior Software Engineer - Managed Kubernetes at Lambda Labs

- Company: Lambda Labs
- What the company does: Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and and more GPUs. Launch on-demand instances or reserve a cluster. Get started.
- Company website: https://lambda.ai
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco Office (Fremont St)
- Work setup: Remote
- Pay: $230K to $346K base salary per year (USD)
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://jobs.ashbyhq.com/lambda/c349334c-6329-4399-a034-93a68a51c925
- Page: https://www.1752.vc/careers/jobs/lambda-labs-senior-software-engineer-managed-kubernetes/

## About the role

We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.

## What they're looking for

- Have 6+ years of experience in software engineering, with a track record of owning significant technical scope within a team (e.g., driving a project from design through production, or acting as a de facto tech lead on a workstream)
- Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful
- Solid grasp of distributed systems fundamentals — fault tolerance, graceful degradation, and failure handling in large-scale environments
- Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters
- Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems
- Strong programming skills in Go and Python, ability to collaborate effectively on shared codebases

Tags: Data Center Business