Staff Kubernetes Platform Engineer, Infrastructure
Themuralgroup · Remote · US only
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First recorded by Psst: 3 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- Senior
- Where you can live
- US only
- Skills and tools
- reconciliation, kubernetes, ci/cd
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $270K–365K/yr
- Experience
- Senior
- Employer publication date
- 2 November 2026
- First recorded by Psst
- 3 November 2026
- Last checked at the source
- 4 November 2026
About the job
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
- L6 (Staff): $270,400–$365,000
- 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
- Design and build core platform systems: 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
What you bring
- A track record of shipping and maintaining production software
- Deep Kubernetes platform experience: operators, CRDs, admission control, node lifecycle
- Practical distributed systems knowledge: consensus, leader election, eventual consistency, fault domains
- 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.
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