Kubernetes Platform Engineer, Infrastructure (GroqMetal)

Groq•New York, NY

About The Position

Groq is building GroqMetal, an infrastructure platform that makes large-scale physical compute a reliable, isolated, customer-consumable product. The Kubernetes Platform Engineer will build and operate production software for GroqMetal, helping deliver Kubernetes as a commercial product for customers running large-scale AI training and inference workloads. The engineer will own platform components from design and implementation through testing, deployment, operation, and ongoing improvement, while building expertise in Kubernetes, distributed systems, and large-scale AI infrastructure. The role is based in the Dallas, San Francisco, or New York City area. Remote work is available while Groq establishes its local office, with an expectation that the role will transition to onsite once the office opens. The position collaborates with infrastructure, inference, networking, infosec, and related teams.

Requirements

Experience designing, implementing, testing, shipping, and maintaining production software.
Hands-on experience building or operating Kubernetes-based systems, such as controllers/operators, CRDs, cluster lifecycle, node management, scheduling, networking, or platform services.
Experience operating production software and debugging issues across application, Kubernetes, networking, compute, and infrastructure layers.
Understanding of distributed-systems concepts including failure handling, retries, idempotency, consistency, reconciliation, availability, and recovery.
Comfort with disciplined software development practices, including code review, automated testing, CI/CD, observability, deployment, and production operations.
Ability to independently solve well-scoped problems, ask questions when requirements are unclear, and work with senior engineers on broader architectural decisions.

Nice To Haves

Experience building Kubernetes, cloud infrastructure, or platform capabilities consumed by customers.
Substantive experience using coding agents such as Codex, Claude Code, or similar tools in engineering work.
Experience with hyperscalers, neoclouds, GPUs, accelerator infrastructure, or AI workloads.

Responsibilities

Implement APIs, controllers, operators, automation, and platform services that extend Kubernetes and support the GroqMetal product.
Own defined platform capabilities from design and implementation through testing, deployment, operation, and continuous improvement.
Improve the reliability, observability, performance, and operational efficiency of platform components.
Participate in diagnosing and resolving production issues.
Develop platform capabilities for dedicated customers running large-scale AI training and inference workloads.
Build software that handles retries, failures, concurrency, reconciliation, and changing infrastructure state correctly.
Identify reliability, scalability, and usability problems and work with the team to deliver durable solutions.
Collaborate with engineers across infrastructure, inference, networking, infosec, and related teams to integrate platform capabilities.
Contribute to design discussions, engineering practices, and technical decisions while growing toward ownership of more complex platform systems.