About The Team
The Data Infrastructure OLAP Team is looking for a Backend Engineer (Milvus Engine) to maintain and enhance our Milvus-based vector database infrastructure. This role focuses on Milvus engine development, maintenance, troubleshooting, performance optimization, and integration with large-scale data infrastructure.
Job Description
- Maintain, troubleshoot, and optimize Milvus engine services in production
- Understand and work with Milvus core architecture and codebase
- Support Milvus deployment, upgrades, monitoring, and incident response
- Improve system stability, scalability, and performance in distributed environments
- Collaborate with data infrastructure, OLAP, algorithm, and business teams
- Support related big data infrastructure components, especially HBase
Requirements
- Minimum a Bachelor Degree in Computer science or similar field
- At least 1 year of full time backend development experience with Go/C++
- Hands-on experience in Milvus development or maintenance is preferred
- Strong understanding of Milvus architecture and core codebase
- Familiarity with big data infrastructure and production data systems
- Solid knowledge of distributed systems, including sharding, replication, fault tolerance, and resource scheduling
- Experience with HBase, including architecture, operations, and troubleshooting
- Experience with vector databases, search engines, OLAP engines, or distributed storage systems
- Experience with Kubernetes, cloud-native deployment, or large-scale production operations
- Knowledge of vector indexing algorithms such as HNSW, IVF, PQ, or DiskANN
