Database Research Expert - Big Data Platform

About the role

Lead the core architecture design and evolution of our next‑generation data analytics infrastructure, focusing on high‑performance, scalable databases and big data analytics systems. Perform in‑depth performance analysis and optimization of the database kernel to resolve extreme bottlenecks under massive data loads, improving efficiency and stability.

Key responsibilities

• Lead the core architecture design and evolution of the next‑generation data analytics infrastructure.
• Conduct performance analysis and optimization of the database kernel under massive data loads.
• Track and research cutting‑edge technologies in databases, data analytics, and AI integration; lead exploratory projects on innovative solutions such as software‑hardware co‑design, computation‑storage decoupling, and CXL‑based memory pooling.
• Develop the database technology roadmap, guide the team in overcoming technical challenges, and build industry‑leading technical influence.

Required profile

• Expert proficiency in kernel principles, storage engines, and query optimization of at least one mainstream database (e.g., PostgreSQL, MySQL, MongoDB, DB2, Oracle) with source‑code level development or deep optimization experience.
• Strong programming foundation in C/C++ and Linux systems programming, with experience in software‑hardware co‑design and optimization.
• Knowledge of modern computer architecture; familiarity with emerging technologies such as CXL, RDMA, and NVMe‑oF.
• Familiarity with the big data ecosystem (Hadoop, Spark, Flink, Lakehouse, unified batch/stream processing) is an asset.
• Excellent technical vision, strong learning ability, complex problem‑solving skills, and insight into cutting‑edge database and analytics technologies (AI for DB, vector databases).

Required skills

• PostgreSQL, MySQL, MongoDB, DB2, Oracle DB
• C and C++
• Linux systems programming
• CXL, RDMA, NVMe‑oF
• Hadoop, Spark, Flink, Lakehouse
• AI for DB, vector databases