Jobs / Gro***
Kubernetes Platform Engineer, Infrastructure (GroqMetal)
Gro*** · New York, NY, United States
New York, NY, United StatesFull time184,800-302,500 USD/yearlyOnsite
Remuneration
Long-Term Incentive (LTI) Program and employee benefits
Location
New York, NY, United States
Visa sponsorship
Sponsors visa
Job summary
Build and operate production software for a Kubernetes platform that delivers large-scale physical compute as a reliable, isolated product for AI training and inference workloads. Develop Kubernetes APIs, controllers, operators, automation, and platform services, owning components from design through operation while improving reliability, observability, and performance. Diagnose production issues across distributed systems, Kubernetes, networking, compute, and infrastructure.
Benefits
Long-Term Incentive (LTI) ProgramEmployee benefits
Qualifications
- Experience designing, implementing, testing, shipping, and maintaining production software.
- Experience building or operating Kubernetes-based systems.
- Experience debugging production issues across applications, Kubernetes, networking, compute, and infrastructure.
- Understanding of failure handling, retries, idempotency, consistency, reconciliation, availability, and recovery.
- Experience with code review, automated testing, CI/CD, observability, deployment, and production operations.
- Ability to solve well-scoped problems independently, clarify requirements, and contribute to architectural decisions.
Responsibilities
- Implement Kubernetes APIs, controllers, operators, automation, and platform services.
- Own platform capabilities from design and implementation through testing, deployment, operation, and improvement.
- Improve platform reliability, observability, performance, and operational efficiency.
- Diagnose and resolve production issues across software and infrastructure layers.
- Develop customer-facing platform capabilities for large-scale AI training and inference workloads.
- Identify reliability, scalability, and usability problems and deliver durable solutions.
- Collaborate with infrastructure, inference, networking, and information security teams.
Skills
KubernetesAWSAzureGCPGitHub ActionsGitLab CIGoGrafanaJenkinsOpenAPIOpenTelemetryPrometheusPythonREST
Industry
AI infrastructureCloud computing
Relocation
No