- Themuralgroup
- United States,
- Full-Time
- 7 days ago
Kubernetes Platform Engineer, Infrastructure.
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Kubernetes Platform Engineer, Infrastructure: our view in 3 lines...
- The Role:This role is for an engineer who builds and maintains the software that extends Kubernetes into a managed platform providing dedicated compute clusters.
- The Person:The person will build APIs, controllers, operators and automation that extend Kubernetes, improve platform reliability, observability and performance, diagnose production issues across several layers, and handle retries, failures, concurrency and reconciliation.
- Requirements:The ideal candidate has software engineering experience on production systems, hands-on Kubernetes including controllers or operators, CRDs, cluster lifecycle, scheduling and networking, solid distributed systems fundamentals, and comfort with code review, automated testing, CI/CD and observability.
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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L4: $184,800–$250,000
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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
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Build the APIs, controllers, operators and automation that extend Kubernetes
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Improve platform reliability, observability and performance
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Diagnose production issues across the application, Kubernetes, network and compute layers
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Handle retries, failures, concurrency and reconciliation correctly
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Work with the infrastructure, inference, networking and security teams and contribute to design decisions
What you bring
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Software engineering experience on production systems
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Hands-on Kubernetes: controllers or operators, CRDs, cluster lifecycle, scheduling, networking
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Solid distributed systems fundamentals
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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.