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OpenAIOpenAISan Francisco, CA

Software Engineer - Privacy & Compliance

Builds backend systems to enforce data privacy, automate compliance, and implement distributed authorization mechanisms. Requires 5+ years experience in backend/infrastructure with languages like Python or Go, plus familiarity with privacy regulations.

230k – 385k/yr
On-site5+ YOESecurity Engineering

About the role

What You’ll Do

  • Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections.
  • Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes.
  • Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable.
  • Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs.
  • Harden data platforms and backend services through schema-level controls and data handling constraints by default.
  • Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations.
  • Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization.

You Might Thrive in This Role If You Have

  • 5+ years of industry experience building and operating backend or infrastructure systems in production.
  • Strong software engineering fundamentals, with fluency in at least one major programming language (Python, Go, Rust, C++, Java).
  • Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines.
  • Familiarity with global privacy regulations and their architectural implications.
  • Ability to influence and collaborate with teams across legal, compliance, product, and engineering.
  • A bias toward practical, impactful solutions that balance privacy protections with product needs.

Nice to Have

  • Experience with cloud platforms (Azure, AWS, GCP) and large-scale data systems.
  • Background in security engineering, privacy engineering, or data governance.
  • Experience with control-plane or metadata-driven enforcement systems.
  • Exposure to data platforms or ML infrastructure.
  • Prior experience in a regulated or highly sensitive data environment.

Skills

PythonGoRustC++JavaRBACAclDistributed AuthorizationPolicy EnginesAWSAzureGCPEncryptionAuditabilityML Infrastructure
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