Primary record

Software Engineer - Privacy & Compliance

OpenAI Indexed employerSan Francisco · Seattle
Source-hosted applyChecked 4h ago$230K–$385K/yrFull-Time
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Workplace

On-site

Employment

Full-Time

Published

Oct 17, 2025

Closes

No date supplied

The role

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. N

Requirements

Department: Applied AI; Team: Applied AI Infrastructure