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MABASA / INDEED

Staff Kubernetes Platform Engineer, Infrastructure

Mural Group

Location
Dallas, TX, USA
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert
Advertised salary
USD 270,400-401,600

Job description from the source

**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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