Senior Backend Software Engineer, Global E-commerce Core Shopping

Global E-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products at affordable prices. The global e-commerce business team hopes to provide users with more tailored, active and efficient consumption experience, enabling merchants to receive stable and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

The Core Shopping & Experience team ensures a seamless core shopping experience across product details, shopping cart, transactions, and after-sales support. They optimize every stage, from product discovery to post-purchase, strengthening the trust between buyers, sellers, and the e-commerce platform.

Responsibilities: - Be responsible for e-Commerce solutions for TikTok Shop in the US. - Be responsible for building an intuitive and reliable shopping experience, including browsing product details, return, and refund, etc. - Building scalable, maintainable, and extendable design and code, and clear documentation for a fast-growing product team.

Minimum Qualifications: - Bachelor's or above degree in Computer Science or related fields from accredited and reputable institutions. - 5+ years of experience developing highly scalable backend services and systems using at least one of Java/Golang/Python/Scala/C++ programming languages. - Experience in software programming capabilities, exhibits good code design and coding style. - Experience in understanding data structure, algorithm design, analysis, and highly scalable systems design. - Experience in product and business understanding, able to align product engineering directions to support current and future products and business.

Preferred Qualifications: - E-commerce industry experience is preferred. - Understanding of observability, reliability, and performance optimization for large-scale systems. - Passion for programming, strong learning ability, intellectual curiosity, and a proactive mindset toward staying current with industry technologies.