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OpenAI

Software Engineer, API Multicloud

San Francisco (Remote)$293k–$385kfulltimemidAdded 1 month ago

About this role

OpenAI seeks a backend engineer to extend its API platform across cloud environments like AWS. You'll build cloud-native services, SDKs, and infrastructure that enable developers to use OpenAI capabilities securely within their existing cloud deployments, collaborating across internal teams and external partners.

What you'll do

  • Design and build backend systems that port OpenAI's API platform to cloud-native environments
  • Create cloud-contained products enabling customers to use OpenAI capabilities while maintaining data locality
  • Develop infrastructure and runtime abstractions for stateful, agentic platform workloads
  • Partner with cloud providers and internal teams to translate emerging capabilities into production systems
  • Enhance reliability, scalability, observability, and operational maturity of services
  • Help shape technical direction as the team scales from early stage to larger organization

What they're looking for

  • Backend development (Python, Go, Rust, TypeScript, or similar)
  • Distributed systems design and concepts
  • Cloud infrastructure and services (AWS preferred)
  • Developer tools and API design
  • Cross-functional technical communication
  • Production service ownership and incident management
  • AI/ML infrastructure knowledge
  • Ability to translate ambiguous problems into durable systems
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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 time you built a backend service or API that needed to work across multiple deployment environments or cloud providers. What were the key architectural challenges?
  • Walk us through your experience with distributed systems concepts and cloud infrastructure primitives. How have you applied these in a production setting?
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