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OpenAI

Software Engineer, Infrastructure

San Francisco$210k–$405kfulltimemidAdded today

About this role

Join OpenAI's Infrastructure team to design and operate mission-critical distributed systems supporting ChatGPT and the OpenAI API. You'll collaborate across teams to build scalable, reliable infrastructure spanning core systems, observability, reliability engineering, and cloud infrastructure.

What you'll do

  • Design, build, and maintain highly available and performant distributed systems used across the engineering organization
  • Define technical strategy, architecture, and long-term goals in collaboration with your team
  • Partner with engineers, product managers, and researchers to evolve infrastructure for emerging needs
  • Enhance internal tooling, automation, and developer experience
  • Lead incident response, postmortems, and establish best practices for system reliability and scalability

What they're looking for

  • Proficiency in Python, Go, C++, Rust, or similar languages
  • Experience designing or operating distributed systems at scale
  • Linux administration and containerization (Kubernetes)
  • Infrastructure-as-code tools (Terraform)
  • CI/CD pipeline design and implementation
  • Observability stacks (metrics, logging, tracing)
  • Systems debugging and performance optimization
  • Cross-functional communication and technical leadership
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI

Likely interview questions

  • Describe a complex distributed system you've designed or scaled—what were the key reliability and performance challenges?
  • How do you approach debugging performance bottlenecks in large-scale systems, and what tools have you found most effective?
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