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 @ 4
Azure @ 4
Compliance @ 6
GCP @ 4
Go @ 7
Java @ 7
Machine Learning
Observability
Python @ 7
Rust @ 7
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 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, such as Python, Go, Rust, C++, or 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 such as Azure, AWS, or 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. The company is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.
Benefits
- $230,000–$385,000 base salary, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, and paid office closures.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
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