Site Reliability Engineer

Responsibilities

• Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management
• Build software abstractions that unify multiple clusters and present a seamless interface to training workloads
• Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale
• Improve operational metrics such as reducing cluster restart times and accelerating firmware or OS upgrade cycles
• Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure
• Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load

Requirements

• Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments
• Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads
• Proficiency in cloud infrastructure concepts (compute, networking, storage, security)
• Experience automating cluster or data center operations
• Strong programming or scripting skills in Python, Go, or similar
• Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation
• Comfort with bare-metal Linux environments, GPU hardware, and large-scale networking

Preferred Qualifications

• Background with GPU workloads
• Experience with firmware management
• Experience with high-performance computing

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.