Responsibilities
1. Participate in building AI Native, safe and compliant data storage products from 0 to 1 rely on underlying storage components (RDS, objects, NoSQL, graph/vector databases, message queues, etc.) to build a unified storage architecture covering structured, semi-structured, unstructured, and multi-modal data, and provide native capabilities for data operations using natural language 2. Participate in the design and implementation of the system construction of platform-level capabilities for data full life cycle management and control, 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 vision of global security compliance, participate in the design and implementation of low-latency synchronization of massive data across regions and disaster recovery platform-level capabilities.
Qualifications
1. More than 5 years of R&D work experience, experience in building and operating complex systems, and solid basic computer technology proficient in at least one back-end development language, GoLang is preferred 2. Proficient in one or two back-end development storage components: object storage system (S3 interface), RDS, cache (Redis), message queue, vector database 3. Have strong curiosity about storage systems and AI technology, and understand the meaning of basic concepts such as CAP and master-slave reading and writing in storage systems 4. Have good teamwork skills and be able to work closely with other team members to solve problems and promote project progress. Bonus points: 1. Priority will be given to those with design and development experience in data modeling 2. Priority will be given to those with experience in infrastructure and middle-end service research and development 3. Participated in the design and development of platform-level disaster recovery systems 4. Participated in the design and development of a cross-regional data transmission security compliance platform.
