Design and build core modules of Milvus and Vector Lakebase, including storage, query engine, indexing, load balancing, resource management, and distributed execution
Drive the evolution of the engine architecture, bringing Lake-native capabilities, elastic scaling, and large-scale multi-tenancy into production to support the next stage of growth
Design database capabilities for AI and Agent workloads, handling more complex access patterns, higher concurrency, larger scale, and lower latency
Own the stability of Zilliz Cloud, working closely with cloud platform and product engineering teams to bring engine capabilities into production and using real customer scenarios to drive engine improvements
Iterate on AI developer tooling, bringing AI into the engineering workflow to improve team velocity and system observability
Contribute to the Milvus open-source community through design docs, code, code reviews, and technical discussions
任职要求
3+ years of experience building database systems, distributed systems, storage engines, query engines, search systems, or large-scale data infrastructure
Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
Strong systems programming ability in one or more of C++, Go, or Rust
Deep understanding of distributed systems and database internals, including consistency, scalability, performance, fault tolerance, query execution, storage, indexing, resource management, and engineering tradeoffs
Strong engineering taste: the ability to judge what design is simpler, what abstraction will last, and which performance and cost tradeoffs actually matter
Experience with large-scale cloud-native databases, storage systems, search systems, or data platforms is a strong plus; open-source contributions in databases, storage, search, Kubernetes, or distributed systems are a strong plus
