Senior Software Development Engineer-Data Insights-Trust and Safety

The Trust and Safety(TnS) engineering team is responsible for protecting our users from harmful content and abusive behaviors. With the continuous efforts of our trust and safety engineering team, TikTok can provide the best user experience and bring joy to everyone in the world. Our team is responsible for achieving goals by building content moderation process systems, rule engine, strategy systems, feature engine, moderation platforms, data platforms, risk insight systems and all kinds of supportive platforms across TnS organization.

Responsibilities - Participate in the overall architecture design and implementation of the data application platforms of the TnS, formulating data application architecture specifications and leading the team to implement them; - Participate in optimizing the data application architecture, continuously improving the stability and efficiency of the system, and continuously reducing the complexity and cost of storage, calculation, and service architecture;

- Design and implement systematic support for data integration, offline development, real-time development, data governance, and BI analysis; - Establish good technical influence inside and outside the department, cultivate talents, effectively coach the team, and improve R&D capabilities;

Qualifications

Minimum Qualifications

• Bachelor or above degree in computer science or a related technical discipline;

5 years of industrial experience;

• Experience with software development in at least one of the following programming languages: C++, Python, Go, Java;
• Be proficient in the technology stack of the server(rpc, message queue, link tracking and service governance, etc.) in distributed / high concurrency scenarios;
• Experience with big data systems and related technologies (Spark, Flink, ClickHouse, HBase etc.);
• Great communication and teamwork skills;

Preferred Qualifications

• Experience with data insight and related technologies (machine learning, statistical analysis etc.) is preferred.
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