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Software Engineer - Privacy & Compliance

OpenAI

Software Engineer - Privacy & Compliance is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $230k–$385k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$230k–$385k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale.

  • Function: Machine learning
  • Seniority: mid
  • python
  • rust
  • java
  • aws
  • gcp
  • azure

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $230k–$385k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

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

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