- Themuralgroup
- United States,
- Full-Time
- 8 days ago
Staff Kubernetes Platform Engineer, Infrastructure.
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Staff Kubernetes Platform Engineer, Infrastructure: our view in 3 lines...
- The Role:This role is for an engineer who builds and ships the core software of a managed Kubernetes platform that runs dedicated clusters for AI training and inference workloads.
- The Person:The person will design and build core platform systems such as APIs, controllers, operators and reconciliation loops, write and operate production code, and define stable platform APIs that shield customers from backend changes.
- Requirements:The ideal candidate has a track record of shipping and maintaining production software, deep Kubernetes platform experience with operators, CRDs, admission control and node lifecycle, and practical distributed systems knowledge including consensus, leader election, eventual consistency and fault domains.
About the role
Location: Remote (US). Must be based in Dallas, San Francisco or New York City. Remote for now, with hybrid planned further down the road.
Pay:
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L6 (Staff): $270,400–$365,000
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L7 (Sr. Staff): $341,400–$401,600
Compensation is not an issue for the right person. The role pays nearly all cash: the bonus is folded into base, and there is an equity component on top.
A late-stage AI cloud company backed by NVIDIA, with a valuation in the billions, runs AI compute out of data centers around the world. It is now building a managed Kubernetes platform that turns large fleets of bare-metal compute into dedicated, isolated clusters for customers running AI training and inference. You'd be early on that platform in a hands-on Staff / Sr. Staff role, writing and shipping the core code and helping set its technical direction.
What you'll do
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Design and build core platform systems: APIs, controllers, operators and reconciliation loops
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Write, review, test, debug and operate production code
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Build a commercial Kubernetes service for dedicated customers running AI workloads
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Design for failure handling, consistency and recovery across distributed systems
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Define stable platform APIs that shield customers from backend changes
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Work closely with the infrastructure, inference, networking and security teams
What you bring
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A track record of shipping and maintaining production software
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Deep Kubernetes platform experience: operators, CRDs, admission control, node lifecycle
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Practical distributed systems knowledge: consensus, leader election, eventual consistency, fault domains
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A rigorous SDLC: design reviews, CI/CD, staged rollouts, rollback and observability
Nice to have: delivered a Kubernetes or infrastructure control plane as a product; hyperscaler or neocloud experience running AI or GPU workloads; inference platforms, accelerators or device plugins; daily use of coding agents like Claude Code or Codex
Mural Group is recruiting for this role on behalf of a client. Apply here and a Mural recruiter will be in touch.