Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API
AWS @ 3
Azure @ 3
Compliance @ 5
GCP @ 3
Go @ 6
Java @ 6
Machine Learning
Observability
Python @ 6
Rust @ 6
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- 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.
Requirements
- 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 dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
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