> Markdown version of [/jobs/ext/4625896-kubernetes-platform-engineer-infrastructure-groqmetal](https://www.wearedevelopers.com/jobs/ext/4625896-kubernetes-platform-engineer-infrastructure-groqmetal). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Kubernetes Platform Engineer, Infrastructure (GroqMetal) - **Company:** Groq, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Code Review, Continuous Integration, Software Debugging, Programming Tools, Distributed Systems, Software Engineering, AI Infrastructure, Graphics Processing Unit (GPU), Claude Code, Kubernetes - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_85f2e46fe32ff3c186d19c9d55dc3d16 ## About the Role * Software engineers first: Experience designing, implementing, testing, shipping, and maintaining production software. * Hands-on Kubernetes experience: Experience building or operating Kubernetes-based systems, including areas such as controllers/operators, CRDs, cluster lifecycle, node management, scheduling, networking, or platform services. * Production infrastructure experience: Experience operating software in production and debugging problems across application, Kubernetes, networking, compute, and infrastructure layers. * Solid distributed-systems fundamentals: An understanding of failure handling, retries, idempotency, consistency, reconciliation, availability, and recovery, with an interest in developing deeper expertise. * Experience with disciplined software development: Comfortable with code review, automated testing, CI/CD, observability, deployment, and production operations. * Product-minded infrastructure engineers: Experience building Kubernetes, cloud infrastructure, or platform capabilities consumed by customers is highly valued, but not required. * Hands-on experience with modern development tools: Experience using coding agents such as Codex, Claude Code, or similar tools in substantive engineering work is valued. * Interested in the AI infrastructure domain: Experience with hyperscalers, neoclouds, GPUs, accelerator infrastructure, or AI workloads is valuable, but candidates with strong platform engineering fundamentals can develop this expertise in the role. * Comfortable growing through ambiguity: Able to independently solve well-scoped problems, ask good questions when requirements are unclear, and work with senior engineers on broader architectural decisions. ## Description * Build production Kubernetes platform capabilities: Implement APIs, controllers, operators, automation, and platform services that support the GroqMetal product by extending Kubernetes. * Own components end to end: Take responsibility for well-defined platform capabilities from design and implementation through testing, deployment, operation, and continuous improvement. * Operate what you build: Improve reliability, observability, performance, and operational efficiency, and participate in diagnosing and resolving production issues. * Build a Kubernetes platform as a commercial platform: Develop capabilities used by dedicated customers running large-scale AI training and inference workloads. * Develop distributed systems expertise: Build software that handles retries, failures, concurrency, reconciliation, and changing infrastructure state correctly. * Improve the platform: Identify reliability, scalability, and usability problems and work with the team to deliver durable solutions. * Collaboration is a core skill: Work within a team of experts to elevate the collective efforts of our team. Collaborate with engineers across infrastructure, inference, networking, infosec, and related teams to integrate platform capabilities holistically. * Grow your technical scope: Contribute to design discussions, engineering practices, and technical decisions while developing toward ownership of increasingly complex platform systems.