Software Engineer - Privacy & Compliance
OpenAI
- Pay
- $230k–$385k
- Workplace
- On-site
- Location
- San Francisco · California · United States
- First seen
- 10 days ago
- Last seen
- 4 hours ago
- Board
- Ashby
Summary
We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale.
- python
- rust
- java
- aws
- gcp
- azure
Posting
We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers. This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation. 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 (e.g., 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 (e.g., 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. About OpenAI OpenAI is an AI research and deployment company dedica