Backend Engineer Intern, Data Infrastructure - OLAP (Fall 2026/ Spring 2027)

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

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.

The Data Infrastructure team is responsible for building a stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform.

The OLAP team, part of Shopee Data Infra, builds and runs the company's OLAP and online storage engines - Presto/Trino, ClickHouse, StarRocks, Druid, HBase, Milvus, graph and KV stores - together with the self-service tooling around them.

Job Description:

• Participate in the development, optimization and maintenance of our OLAP and Big Data engines and platform, focusing on one of them: Presto/Trino, ClickHouse, StarRocks, Druid, HBase, Milvus, graph or KV store.
• Engage in system performance tuning and troubleshooting, ensuring service stability and high availability.
• Analyze and solve user problems combining user scenarios, and collaborate with the product team to develop and optimize features based on business requirements.
• Contribute to running the engines on Kubernetes, and explore using AI / LLMs to solve complex problems in troubleshooting and governance.
• Write and maintain related technical documentation and SOPs.

Requirements:

• Pursuing a bachelor's degree or above in Computer Science, Engineering, or related fields.
• Proficient in Java (or C++, Go or Python), with a solid foundation in data structures and algorithms.
• Basic understanding of Big Data / OLAP components and their internal mechanisms (HDFS, Presto/Trino, ClickHouse, Druid, HBase, etc), and comfortable with SQL.
• Excellent team collaboration and communication skills, able to respond and resolve issues promptly.
• Experience with OLAP technologies and data modeling is highly desirable.

Good To Have:

• Previous coursework, projects or internships in the Big Data or database domain.
• An interest in cloud-native technologies, including Kubernetes.
• Interest in open-source contributions and eagerness to learn from the open-source community.
• Interest in using AI to solve complex engineering problems.