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Software Engineer - Privacy & Compliance

San Francisco💼 Full-time🗓 2025-10-17 → 2026-07-31

Core

Architect and build backend systems to enforce data privacy, automate compliance, and embed privacy-by-design into data and access layers.

Role type

Senior IC backend software engineer (privacy & compliance)

Builds

Distributed authorization services, identity-aware enforcement mechanisms, and policy-driven data access controls.

Domain

AI infrastructure, data governance, and regulatory compliance

Deliverable

production ML models | product features

Required skills

backend system design, distributed authorization, RBAC/ACL systems, encryption-based access control, policy engine implementation, global privacy regulations knowledge, API design, observability

Preferred skills

cloud platforms (Azure, AWS, GCP), security engineering, control-plane systems, metadata-driven enforcement, ML infrastructure

Technologies

Python, Go, Rust, C++, Java, Azure, AWS, GCP

Responsibilities

Design and operate backend services for policy-driven data access and lifecycle controls; Develop distributed authorization and identity-aware enforcement mechanisms; Implement auditability and enforcement observability; Partner with Security, Legal, and Compliance to convert requirements into technical designs; Harden data platforms with schema-level controls; Collaborate with infrastructure teams for consistent enforcement.

Seniority

Senior, hands-on IC

Rewrite
## 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. ## Benefits - Work at a leading AI research and deployment company. - Opportunity to shape the future of technology and AI. - Collaborate with cross-functional teams on high-impact projects. - Competitive compensation and benefits package. - Flexible work arrangements and remote options.
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