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

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, Data Map, Data Studio, 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, Star Rocks 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.