Backend Engineer, Marketplace Intelligence & Data - MPIE (Campus Recruitment 2026)

About The TeamShopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.The Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication.Job DescriptionDesign, develop, and maintain robust backend services.Collaborate with algorithm and backend engineers to conceptualise and build high-performance machine learning tools and adjacent services.Participate in technical design discussions and contribute to architectural decisions.Implement and execute scalable, maintainable technical solutions.RequirementsRecent graduates with a Bachelor's degree or higher in Computer Science, Engineering, or related fields.Proficient in at least one backend programming language such as Java, Python, Golang, or C++.Strong problem-solving and analytical skills; comfortable tackling complex technical challenges.Strong ownership, good communication skills, having teamwork spirit and capable of working independently under pressure.Passionate about coding and programming, innovation, and solving challenging problems.Solid understanding of core computer science concepts (e.g., data structures, algorithms, operating systems, networking, databases).Good To HavePractical experience with Golang.Familiarity with the Linux operating system and command-line tools.Exposure to performance tuning and optimization of high-load backend systems.Understanding of MLOps practices and tools.Interest or experience in working with LLMs and related technologies (e.g., MCP, RAG).