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Mural Group

Kubernetes Platform Engineer, Infrastructure

Mural Group Madison, Mississippi, United States · $185K–$302K/yr

Staffing and Recruiting · 11-50 employees

Yesterday
Remote kubernetes Senior (5-10 yrs) Full-time United States
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About the role

You will build and maintain APIs, controllers, and operators to extend the Kubernetes platform for AI compute. Additionally, you will be responsible for diagnosing production issues and ensuring the reliability and performance of the infrastructure.

What they look for

Kubernetes API Development Controllers Operators Automation Distributed Systems Observability CI/CD Cloud Infrastructure Bare-metal compute AI Infrastructure Networking Software Engineering Performance Tuning Production Systems

Requirements

Candidates must have professional software engineering experience on production systems and hands-on expertise with Kubernetes internals. Strong fundamentals in distributed systems and experience with CI/CD and observability tools are required.

Benefits

Equity component

Full 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:

  • L4: $184,800–$250,000
  • L5 (Sr.): $223,600–$302,500

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 and own components end to end, from design through running them in production.

What you'll do

  • Build the APIs, controllers, operators and automation that extend Kubernetes
  • Improve platform reliability, observability and performance
  • Diagnose production issues across the application, Kubernetes, network and compute layers
  • Handle retries, failures, concurrency and reconciliation correctly
  • Work with the infrastructure, inference, networking and security teams and contribute to design decisions

What you bring

  • Software engineering experience on production systems
  • Hands-on Kubernetes: controllers or operators, CRDs, cluster lifecycle, scheduling, networking
  • Solid distributed systems fundamentals
  • Comfort with code review, automated testing, CI/CD and observability

Nice to have: built customer-facing cloud or Kubernetes products; GPU or AI infrastructure; 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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