Tiktok-posted 4 months ago
San Jose, CA
5,001-10,000 employees

Our team plays a crucial role in the data ecosystem of the TikTok Recommendation System, focusing on creating offline and real-time data storage solutions for large-scale recommendation, search, and advertising businesses, serving over 1 billion users. The core goals of the team are to ensure high system reliability, uninterrupted service, and smooth data processing. We are committed to building a storage and computing infrastructure that can adapt to various data sources and meet diverse storage requirements, ultimately providing efficient, cost-effective, and user-friendly data storage and management tools for the business.

  • Design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems based on Paimon and Flink.
  • Design and implement flexible, scalable, stable, and high-performance storage systems and computing models.
  • Continuously optimize system performance to cope with the challenges brought by business growth.
  • Be responsible for troubleshooting production systems and ensuring overall stability.
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