Staff Kubernetes Platform Engineer, Infrastructure
About The Position
Mural Group is recruiting for a late-stage AI cloud company backed by NVIDIA. The company operates AI compute in data centers around the world and is building a managed Kubernetes platform that converts large fleets of bare-metal compute into dedicated, isolated clusters for customers running AI training and inference. This hands-on Staff or Senior Staff role will contribute early to the platform by writing and shipping core code and helping set its technical direction. The role is remote in the United States for now, with hybrid work planned further down the road. Candidates must be based in Dallas, San Francisco, or New York City. Compensation is listed at $270,400–$365,000 for L6 (Staff) and $341,400–$401,600 for L7 (Senior Staff). The bonus is folded into base compensation, with an equity component on top.
Requirements
- A track record of shipping and maintaining production software.
- Deep Kubernetes platform experience, including operators, CRDs, admission control, and node lifecycle.
- Practical distributed systems knowledge, including consensus, leader election, eventual consistency, and fault domains.
- A rigorous SDLC, including design reviews, CI/CD, staged rollouts, rollback, and observability.
Nice To Haves
- Experience delivering a Kubernetes or infrastructure control plane as a product.
- Hyperscaler or neocloud experience running AI or GPU workloads.
- Experience with inference platforms, accelerators, or device plugins.
- Daily use of coding agents such as Claude Code or Codex.
Responsibilities
- Design and build core platform systems, including APIs, controllers, operators, and reconciliation loops.
- Write, review, test, debug, and operate production code.
- Build a commercial Kubernetes service for dedicated customers running AI workloads.
- Design for failure handling, consistency, and recovery across distributed systems.
- Define stable platform APIs that shield customers from backend changes.
- Work closely with the infrastructure, inference, networking, and security teams.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
