Site Reliability Engineer, Trust & Safety - USDS

About TikTok U.S.Data Security

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.



Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.



The Trust and Safety(TnS) engineering team of US Tech Service department at TikTok is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve trust and safety system using the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.



In our team, you’ll have the opportunity to manage the complex challenges of scale, while using expertise in coding, algorithms, complexity analysis, and large-scale system design. We embrace a culture of diversity, intellectual curiosity, openness, and problem-solving. We encourage close collaboration while promoting self-direction.



In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.



Responsibilities - What You'II Do

- Manage day-to-day operations of data service, realtime/batch data pipelines, such as SLA management, system deployment, performance tuning and trouble shooting

- Create tools and automation to improve system administration and operation efficiency

- Participate in regular on-call duties

- Engage in and improve the whole lifecycle of services from inception and design, throughout development, capacity planning, and launch reviews, to deployment, operation, and refinement

- Scale systems sustainably through mechanisms such as automation; evolve systems reliability, efficiency, and velocity by pushing for changes

- Practice sustainable user support, incident response, and postmortems