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Staff Kubernetes Platform Engineer, Infrastructure

Role overview

Qualifications

  • 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

Responsibilities

  • 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

Key facts

Hard skills

Other skills

  • Operations

About the company

Mural Group logo

Mural Group

  • Staffing & Recruiting
  • 11–50
Mural Group is a multi-stage recruiting firm specializing in Recruitment Process Outsourcing, Contingent and Retained search. We partner with founders and executives to carefully craft teams that power industry changing, early stage, and growth stage businesses. Mural doesn't operate like most recruiting firms. We operate like in-house recruiting partners – hyper-focused on building and executing a hiring strategy that aligns with your business objectives.

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Job description

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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