Backend Software Engineer (Location-Based Services), TikTok Local Service

TikTok LBS Platform's goal is to build a global high-quality LBS database and high-performance LBS services that connects TikTok users with nearby merchants and local services.

• Build a global POI (Point of Interest) database, multi source POI integration and POI nearby search service to support TikTok local services.
• Build geocoding database, geocoding service, and IP Location service to support TikTok local services and monetization product

Here, you’ll be exploring cutting-edge technology alongside experts, pushing the boundaries of imagination. Here, every line of your code will serve billions of users. Here, the team is professional and driven, with a collaborative atmosphere that is equal and relaxed.

• Participate in building an online streaming data scheduling system to ensure overall data scheduling performance and high scalability.
• Participate in constructing the entire POI (Point of Interest) data access process and the online/offline data cleansing modules.
• Engage in developing the core POI processing system, including admission, integration, and aggregation service modules, to meet daily data update requirements at the billion level.
• Continuously analyze and deeply explore system deficiencies to improve system performance and stability.
• Collaborate with AI engineers to establish efficient module update and release mechanisms and processes, enhancing the overall system development and iteration efficiency.

• Bachelor’s degree or higher in Computer Science or a related field.
• Familiarity with at least one programming language such as Java, Golang, PHP, Python, or C++, with a preference for experience in Golang or Java.

Knowledge of common internet technologies, including but not limited to Linux systems and principles, MySQL, NoSQL, RPC, MQ, caching technologies, and microservices architecture. Bonus: Experience with building high-concurrency services. Good coding and documentation, with attention to code style, familiar with fundamental design patterns and principles, with the ability to continuously monitor and optimize the projects undertaken, and coordinate various parties to drive project implementation.

Bonus: Understanding of POI data processing workflows, with practical experience in systematic construction such as admission, integration, and aggregation. Prior experience with POI ecosystem big data processing and data management is preferred.