Responsibilities
1. Participate in building AI from 0 to 1 Native, secure and compliant data storage products relying on underlying storage components (RDS, objects, NoSQL, graph/vector database, message queue, etc.), a unified storage architecture covering structured, semi-structured, structureless, multimodal data is built, providing native capabilities for data operation using natural language 2. Participate in the design and realize platform-level capabilities of data management and control platform-level capabilities, including but not limited to the design and development of core components such as metadata management, permission models, and data sources 3. Combined with the technical perspective of global security and compliance, participate in the design and achieve low-latency synchronization of massive data across regions and disaster recovery platform-level capabilities.
Qualifications
1. More than 5 years of back-end development experience, experience in building, operating and maintaining complex systems, and solid basic computer technology proficient in at least one back-end development language, Golang is better 2. Proficient in one or two back-end development storage components: object storage system (S3 interface), RDS, cache (Redis), message queues, vector database 3. Have a strong curiosity about storage systems and AI technology, and understand the meaning of basic concepts such as CAP, master-slave reading and writing in the storage system 4. Have good teamwork ability, be able to work closely with other team members to solve problems and promote project progress. Bonus: 1. Those with experience in design and development in data modeling are preferred 2. Those with experience in R&D of infrastructure and middle-end services are preferred 3. Participated in the design and development of platform-level disaster recovery systems 4. Participated in the design and development of cross-regional data transmission security compliance platforms.
