Backend Engineer Intern, Data Infrastructure - Platform (Fall 2026)

About the team Shopee 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. We are building a central one-stop big data platform that provides end-to-end data solutions to empower thousands of users — including data engineers, BI analysts, operations staff, and backend developers — with tools for efficient data management, development, task scheduling, governance, and visualization. Our platform supports massive-scale business needs across e-commerce, digital finance, supply chain, and more. Responsibilities Participate in the design, development, and maintenance of core products within the big data ecosystem, including:RAM, DataMap, DataStudio, Scheduler System, Data Dashboard, etc. Write high-quality, efficient, scalable, and maintainable backend code. Collaborate closely with product managers, engineers, and QA to deliver robust, production-ready features. Continuously improve system performance, reliability, and developer experience. Take part in system architecture design and product roadmap discussions, contribute to the long-term technical evolution and big picture of our products. Requirements Pursuing a bachelor's degree or above in Computer Science, Software Engineering, or related fields. Solid understanding of computer science fundamentals, including: data structures & algorithms, operating systems, networking, distributed systems. Proficient in at least one backend programming language: Java, Python, or Go. Familiar with relational databases (e.g., MySQL) and middleware technologies (e.g., Redis, Kafka). Understanding of HTTP protocol, RESTful API design, and microservice architecture. Preferred Qualifications: Internship or project experience related to: backend system development, big data infrastructure. Familiarity with big data technologies, such as: Hadoop, Spark, Flink, Presto, StarRocks etc. Strong debugging and problem-solving skills in large-scale systems. Proficiency in Java, and hands-on experience with: Spring Boot, Spring Cloud, MySQL, Redis, Kafka. Contributions to open-source projects or technical blogs.