The TikTok Business Risk Control Team is dedicated to building an industry-leading risk control core engine system, providing intelligent risk control solutions with high scalability, high stability, and low cost for global TikTok operations. We aim to provide the best risk engine system to empower teams at TikTok to build the best risk solutions keeping TikTok users and platform safe. We are constructing a high-performance, highly reliable risk control engine system, covering core modules such as the rule engine, data system, and real-time/near-real-time risk control processing. Our goal is to deliver agile, efficient, and stable risk control solutions for our business. The data pillar under risk engine team owns critical data systems providing key capabilities such as counting frequency, checking occurrence. We provide state-of-art solutions for risk control data collection, data transformation and data serving. Responsibilities: • Develop stable, high-performance and cost-efficient distributed data systems for risk control. • Participate in the development of day-to-day operations and driving technical excellence of systems. • Work with cross-functional partners to understand business requirements, provide the best technical solution for risk control.
Minimum Qualifications • Experience in building distributed backend systems at scale. Tracking records in solving infrastructure pain-points. • Experience with one or more general purpose programming languages including but not limited to: Go, Rust • Ability to think critically and formulate solutions to problems in a clear and concise way. • Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment. Preferred Qualifications • BS degree in Computer Science, Computer Engineering or other relevant majors. • Experience as engineer or engineering leader working on Risk related system (or known as Anti-abuse system, or Trust related domain). • Experience in building risk systems that handle large traffic in risk domain, e.g. Bot/large abusive traffic detection and defense.
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