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OpenAI

Software Engineer - Privacy & Compliance

San Francisco$230k–$385kfulltimemidAdded 1 month ago

About this role

OpenAI seeks an experienced Software Engineer to design and operate backend systems that enforce data privacy and automate compliance at scale. You'll architect privacy-by-design solutions, develop distributed authorization mechanisms, and collaborate across security, legal, and product teams to protect user data while enabling innovation.

What you'll do

  • Design and build backend services enforcing policy-driven data access, lifecycle controls, and privacy protections
  • Develop distributed authorization and identity-aware enforcement integrated into data services
  • Implement auditability and observability mechanisms for continuous compliance verification
  • Partner with Security, Legal, and Compliance teams to translate requirements into scalable technical designs
  • Harden data platforms through schema-level controls and data handling constraints
  • Create patterns, libraries, and educational materials to promote trustworthy data access practices organization-wide

What they're looking for

  • Backend or infrastructure systems development and operations (5+ years)
  • Fluency in Python, Go, Rust, C++, Java, or similar languages
  • Distributed authorization, RBAC/ACL, encryption-based access, or policy engines
  • Knowledge of global privacy regulations and architectural implications
  • Cross-functional collaboration with legal, compliance, and product teams
  • Cloud platforms (AWS, Azure, GCP)
  • Security or privacy engineering background
  • Data governance or metadata-driven enforcement 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.

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Likely interview questions

  • Walk us through a backend system you've designed that enforces access control or authorization at scale. How did you handle policy changes and auditability?
  • Describe your experience with distributed authorization systems (RBAC, ACL, or policy engines). What were the key challenges in implementation?
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