Tiktok - Seattle, WA
posted 3 months ago
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a newly established subsidiary of TikTok in the U.S., created to enhance focus and governance on our data protection policies and content assurance protocols to ensure the safety of U.S. users. Our commitment is to provide oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to continue using TikTok for learning, earning, creative expression, and entertainment. The teams within USDS, which include Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions, work diligently every day to uphold this commitment. As a Site Reliability Engineer (SRE) in the data platform area, you will play a crucial role in managing the services and infrastructures of one of the largest data platforms globally. Your responsibilities will include ensuring that our data, services, and infrastructures are reliable, fault-tolerant, efficiently scalable, and cost-effective. You will also have the opportunity to design, build, and deliver various systems as a software engineer. Our organization currently follows a hybrid work schedule, requiring employees to work in the office three days a week, with flexibility as directed by their manager or department. This model is regularly reviewed, and specific requirements may change. Your key responsibilities will include establishing solid design and best engineering practices for both engineers and non-technical personnel, designing and building data transformations for various purposes such as reporting and growth analysis, and implementing reliable, scalable, and robust big data systems that support our core products and business. Our team is engaged in various projects within the data infrastructure and product area, including developing a Query Engine for ad-hoc queries, a Logging & Ingestion Infrastructure for real-time data logging, an Experimentation Platform for A/B testing, and a Workflow Management Platform for scheduling and monitoring workflows. You will also work on distributed caching solutions and various data products such as visualization tools and user behavior analysis tools.