1 day ago
Base Salary
$185k - $303k/yr
Responsibilities
- Build production Kubernetes platform capabilities, including controllers, operators, automation, and platform services.
- Own platform components from design and implementation through testing, deployment, operation, and improvement.
- Improve platform reliability, observability, performance, scalability, usability, and operational efficiency.
- Diagnose and resolve production issues across application, Kubernetes, networking, compute, and infrastructure layers.
- Develop software that correctly handles retries, failures, concurrency, reconciliation, and changing infrastructure state.
- Collaborate with infrastructure, inference, networking, infosec, and related engineering teams.
- Contribute to design discussions, engineering practices, and technical decisions.
Requirements
- Experience designing, implementing, testing, shipping, and maintaining production software.
- Hands-on experience building or operating Kubernetes-based systems, including 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.
- Experience with code review, automated testing, deployment, observability, production operations, and CI/CD.
- Experience building customer-consumed Kubernetes, cloud infrastructure, or platform capabilities is valued but not required.
- Experience using coding agents such as Codex, Claude Code, or similar tools in substantive engineering work is valued.
- Experience with hyperscalers, neoclouds, GPUs, accelerator infrastructure, or AI workloads is valuable but not required.
- Ability to independently solve well-scoped problems, clarify ambiguous requirements, and collaborate with senior engineers on broader architectural decisions.
Benefits
- The role is based in the Dallas, San Francisco, or New York City area, with remote flexibility while a local office is being established and an expectation of transitioning onsite once the office opens.
- The company offers a Long-Term Incentive Program and a robust suite of employee benefits.
- The role offers mission-driven work on complex large-scale AI infrastructure problems.
Tech Stack
Categories
About Groq
Groq designs and operates AI inference hardware and cloud services built around its LPU architecture, aimed at developers and enterprises running large language models and other ML workloads. It generates revenue by selling processors and offering pay-as-you-go inference through its hosted platform and APIs. Founded in 2016 and headquartered in Mountain View, California, the company is privately held.