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

• 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.

• 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.