Responsibilities
Team Introduction: TikTok is an international short video platform covering 150 countries and regions. We hope to discover real and interesting moments through TikTok and make life better. TikTok has offices around the world, with global headquarters in Los Angeles and Singapore, and offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo. The TikTok Live R&D team aims to implement the R&D work of TikTok's live broadcast business and build and maintain industry-leading products. Join us, you will be exposed to core business scenarios including social interaction, revenue activities, anchor ecology, consumer subscription, game live broadcast, guild & operation platform, etc., to support the rapid development of products in the global track you can also be exposed to technical challenges in service architecture, large model algorithm, basic technology and other directions, to ensure that the business continues to serve users with high quality, high efficiency and security at the same time, it can also provide comprehensive technical solutions for different business scenarios, optimize various product indicators and user experience. Here, there are big cows leading the team to explore the frontier and break through the imagination space. Here, every line of your code will serve hundreds of millions of users. Here, the team is professional and pure, and the cooperative atmosphere is equal and relaxed. Currently, multiple positions are open in Beijing, Shanghai, Hangzhou, Guangzhou and Shenzhen. 1. Responsible for the quality assurance of international live broadcast data, including but not limited to data processing stability, data consistency, accuracy, standardization, and data service interface quality assurance 2. Responsible for the overall quality assurance system of product/technology/strategy/operation tracking points, formulate process specifications, and use technical means to improve the efficiency of tracking point testing 3. Participate in the construction of data quality testing process, automation, data quality testing tool capabilities, etc.
Qualifications
1. Bachelor degree or above, good computer foundation, master at least one programming language such as Python/Java/Go/PHP 2. Have client or server business testing experience, have full-link data quality assurance experience, be sensitive to data, and have complete test plan design and execution planning capabilities for more complex projects 3. Have a certain understanding of agile development and CI/CD and application experience 4. Have good logical thinking ability and communication comprehension, and be able to quickly learn new business and new technologies.
