The Social Graph team at TikTok is at the forefront of innovation in large-scale graph computing. We design and build the core graph infrastructure that powers TikTok's social ecosystem - processing trillions of edges and billions of vertices to deliver real-time relationship insights to billions of users worldwide. Our high-performance engine enables millisecond-level multi-hop queries, dynamic cluster and community detection, and real-time graph mining—directly powering key features such as friend recommendations, live streaming, risk control, and messaging. Here, every line of code you write will directly impact the social experience of users worldwide. Together, we will redefine how people connect globally. As a Backend Engineer on the Social Graph team, you will: - Design and implement high-performance data storage and management systems for trillion-scale social graph data, ensuring seamless integration and rapid iteration for mission-critical applications. - Develop distributed graph database engines capable of handling billions of vertices and trillions of edges, enabling millisecond-level multi-hop queries and real-time graph reasoning. - Build a real-time graph mining platform to extract social relationships, patterns, clusters, and communities, fueling product strategies and personalized recommendations. - Lead the integration of the Social Graph with core systems (., recommendation, search, risk control) to support social interactions, live-streaming, and various TikTok business use cases.

Minimum Qualifications: - Bachelor's degree or higher in Computer Science or a related technical discipline - Experienced in building backend services for large-scale consumer-facing applications - Proficient in at least one of the following languages: Go, Java, C++, Python - Deep understanding of computer architectures, data structures, and algorithms - Strong communication and teamwork skills