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Staff Kubernetes Platform Engineer, Infrastructure (GroqMetal)

Groq· Platform Eng
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Hybrid (Dallas, San Francisco, New York City)$270.4k - $365kFull-timePosted 1w ago

About the role

Senior staff Kubernetes platform engineer role building an infrastructure platform for large-scale AI training and inference workloads, focused on Kubernetes-based production-grade services and deep collaboration with multiple teams.

Responsibilities

  • Design and build core Groq platform systems: APIs, controllers, operators, reconciliation loops, and infrastructure abstractions.
  • Remain deeply hands-on: Write, review, test, debug, and operate substantial production code while providing Senior Staff technical leadership.
  • Embrace the market: Leverage Kubernetes to build a commercial product for AI infrastructure, delivering production-grade Kubernetes services for dedicated customers running large-scale AI training and inference workloads.
  • Build a system, not just deploy technology: Apply distributed-systems principles to partial failure, retries, concurrency, consistency, idempotency, availability, and recovery.
  • Design for stability and robustness: Design stable platform APIs and contracts that decouple the customer experience from changes in backend infrastructure.
  • Collaborate with a team of experts: Work across infrastructure, inference, networking, infosec, and other teams to turn ambiguous platform needs into production systems.

Qualifications

  • Experienced software engineers first: Strong experience designing, implementing, testing, shipping, and maintaining production software.
  • Deep Kubernetes platform engineering experience: Experience with operators/controllers, CRDs, admission control, node lifecycle, cluster services, and production-grade platform design.
  • Strong distributed-systems expertise: Practical experience reasoning about CAP, consensus, leader election, eventual consistency, state reconciliation, fault domains, and recovery.
  • Experience developing infrastructure software: Experience with robust SDLC, including design review, automated testing, CI/CD, staged rollout, rollback, observability, and incident learning.
  • Experience delivering Kubernetes as a Service: Practical knowledge from delivering Kubernetes or cloud infrastructure as a product is highly valued but not required.
  • Hands-on experience using coding agents: Experience with tools like Codex, Claude Code, or similar systems in substantive engineering work is highly valued.
  • Domain expertise in AI/accelerator infrastructure: Experience at a hyperscaler or neocloud supporting AI workloads and large-scale accelerator infrastructure.
  • Comfort with ambiguity: Experience with inference platforms, accelerator/GPU infrastructure, device plugins, cloud infrastructure, or customer-facing platform products.

Skills

Required:Production-grade Kubernetes platform designDistributed systemsInfrastructure software development

Benefits

  • Long-Term Incentive (LTI) Program
  • robust suite of employee benefits
  • Total Cash compensation including potential bonus value
Last updated Oct 18, 2026. Interested? Apply on the company site.
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About Groq

Groq was established in 2016 for one thing: inference.

Groq is a company focused on fast, affordable AI inference with custom silicon (LPU) for edge and data-center workloads.

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