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OpenAI

Software Engineer, Infrastructure, Consumer Devices

San Francisco (Remote)$325k–$440kfulltimemidAdded 1 month ago

About this role

OpenAI seeks an experienced Cloud Infrastructure Engineer to design and operate scalable platforms powering their consumer products. This hands-on technical leader role combines infrastructure architecture with strategic influence across teams, requiring deep expertise in cloud systems and proven ability to manage large-scale distributed infrastructure.

What you'll do

  • Design and build scalable, reliable, secure infrastructure platforms for OpenAI products
  • Evolve cloud abstractions to enable rapid product development across multiple teams
  • Architect systems supporting significant growth, performance, and operational complexity
  • Improve server orchestration, networking, reliability, and infrastructure security
  • Participate in on-call rotations, incident response, and production readiness
  • Mentor engineers and influence technical direction across the organization

What they're looking for

  • 8+ years large-scale infrastructure systems experience
  • Deep Kubernetes and container orchestration expertise
  • Cloud platform design (AWS, GCP, Azure, or similar)
  • Distributed systems reliability and security
  • Security engineering background preferred
  • Systems thinking and technical leadership
  • Cross-team collaboration and mentoring
  • Operating in ambiguous, fast-moving environments
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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

  • Walk us through a time you designed a cloud infrastructure abstraction or platform that enabled multiple teams to move faster. What trade-offs did you make?
  • Describe your experience operating Kubernetes at scale. What were the biggest challenges you faced and how did you solve them?
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