About the team

TikTok Shop is a content e-commerce business utilising international short video products as carriers. Our aim is to become the preferred choice for users seeking to discover and purchase affordable, high-quality products. We provide users with tailored, vibrant, and efficient consumption experiences while enabling merchants to access robust and dependable platform services in various scenarios, such as live e-commerce and short video content e-commerce. Our vision is to make affordable and high-quality products easily accessible, enhancing the quality of life for all. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands.

Our role combine software and systems engineering disciplines to run high-performance, large-scale distributed infrastructure. This means you will be deeply involved in the developmental lifecycle of critical software services, collaborating closely with product engineers to combine software code and systems knowledge to ensure that TikTok Shop's services are reliable, fault-tolerant, efficiently scalable and cost-effective. You will also be leveraging your software engineering expertise to develop software platforms and tools to optimise the operational and engineering efficiencies of complex systems at scale, with particular focus on improving the systems' observability, performance and maintainability.

Responsibilities:

• Provide component stability solutions tailored to real-world business scenarios for TikTok Shop, based on collaboration mechanisms across teams, time zones, and regions.
• Continuously build component metadata and observability capabilities, and improve multi-dimensional observability solutions.
• Develop platform-based, data visualisation, and automated monitoring processes to enhance the efficiency of component operations and maintenance for TikTok Shop platforms.
• Gain deep understanding of e-commerce business to enable risk awareness and governance of components.