Site Reliability Engineer, Data Platform- 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.

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed services and infrastructures. As a site reliability engineer in the data platform area, you will have the opportunity to manage the services and infrastructures in one of the largest dataplaforms in the world. You'll need to ensure the data, services and infrastructures are reliable, fault-tolerant, efficiently scalable and cost-effective. You'll also have the opportunity to design, build and deliver all kinds of systems as a software engineer.

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.

• Ensure reliable, fault-tolerant, efficiently scalable and cost-effective data, services and infrastructures
• Establish solid design and best engineering practice for engineers as well as non-technical people
• Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
• Our team are working on various directions in the data infra and data product area. Don't hesitate to contact us if you're interested
- Query Engine that support adhoc/interactive queries and batch pipelines
- Logging & Ingestion Infra that logs and ingests large amount of data in realtime
- Experimentation Platform that supports the A/B testing for all product and feature launches
- Workflow Management Platform that programmatically authors, schedules and monitors workflows such as streaming and batch tasks
- Distributed Cache that accelerates compute
- Various data products such as data visualization tool, user behaviour analysis tool, user profiling tool
- Data Engineering that support business products
- More..