Team Introduction
The Recommendation Architecture Data Platform (Offline Computing) Team is Responsible for the design and development of the offline computing systems for the recommendation architectures that power products with over 1 billion users, including Douyin, Toutiao, and Xigua Video. The role focuses on ensuring system stability and high availability, abstracting general-purpose real-time computing systems, and building unified recommendation feature and sample platforms. It also involves constructing flexible and scalable high-performance storage systems and computing models, continuously addressing paradigm shifts in recommendation systems, especially in the era of large models.

Reponsibilities
1. Design and implement efficient offline computing systems for large-scale recommendation systems.
2. Design and develop flexible, scalable, stable, and high-performance storage systems and computing models.
3. Conduct troubleshooting on production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production environments.
4. Build industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems.