Software Engineer - AI Governance - TikTok Privacy and Security

You will work across product privacy, data lifecycle management, data protection and residency, privacy engineering platforms, AI governance, and privacy-preserving technologies, using techniques including automated compliance enforcement, data lineage and taxonomy, differential privacy, trusted execution environments, AI fairness, and privacy protection for generative AI. The systems you build will protect hundreds of millions of people, and the privacy decisions you make will reach every one of them.

TikTok's Privacy and Security (PNS) Data Retention team makes sure that data across the platform is kept only as long as it is needed, and is then deleted reliably and verifiably. The data covers online services, offline warehouses, logs, backups, and ML training datasets. Global privacy rules keep getting stricter, and the data estate keeps growing to exabyte scale. The team owns the policies, platforms, and technical controls that turn retention commitments into guarantees we can enforce and audit.

As a Backend Engineer - Data Retention, you will design and build scalable, reliable, high-performance systems that manage the lifecycle of data at TikTok scale. That includes finding and classifying data, applying retention policies, running deletion, and proving that deletion happened. You will turn fast-changing privacy and regulatory requirements into concrete platform capabilities. You will work closely with storage infrastructure, data platform, ML platform, product, privacy, legal, and security teams to ship solutions across thousands of services and storage systems.