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Staff Kubernetes Platform Engineer, Infrastructure

Mural Group

AshbyRemote
WhatsApp
Location
Remote (US); San Francisco, CA; New York, NY; Dallas, TX, United States
Type
FullTime
Salary
Salary not specified
Posted
2 Nov 2026
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 shi
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.