Posted 1mo ago

Senior Database Expert FT - SH 高级数据库专家 (全职) - 上海

@ Flowith
Shanghai, Shanghai, China
OnsiteFull Time
Responsibilities:Design architectures, Monitor performance, Ensure high availability
Requirements Summary:5+ years database experience; PostgreSQL mastery; multi-modal data management (SQLite, Redis); high availability; SQL tuning; vector database knowledge a plus.
Technical Tools Mentioned:PostgreSQL, SQLite, Redis, SQL tuning, Database replication, Vector databases
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Job Description

Role Overview

You are the "cardiovascular surgeon" of Flowith’s data flows. As a Senior Database Expert, you will safeguard the data assets of millions of users, ensuring absolute security and efficient read/write operations for the product's underlying data. You must not only master the underlying logic of various databases but also build a rock-solid, lightning-fast data foundation for cutting-edge AI application scenarios from a high-level architectural perspective.

Key Responsibilities

  • Core Data Architecture Evolution: Design and implement database architectures that support high concurrency and low latency. Participate in technology selection and review to pave the way for explosive business growth.
  • Performance Monitoring & Extreme Tuning: Monitor database performance metrics around the clock, meticulously analyze slow queries and resource bottlenecks, and rapidly implement effective optimization solutions.
  • High Availability & Disaster Recovery: Manage and optimize multiple database systems. Formulate rigorous data backup, recovery, and disaster recovery strategies to defend the red line of data security and availability.
  • System Empowerment: Collaborate closely with backend and AI engineers to provide optimal data storage and retrieval support for complex product requirements from the foundational data architecture level.

  • 核心数据架构演进:设计并实施支撑高并发、低延迟的数据库架构方案,参与技术选型与评审,为业务的爆发式增长铺平道路。
  • 性能监控与极限调优:全天候监控数据库性能指标,抽丝剥茧分析慢查询与资源瓶颈,并快速落地行之有效的优化方案。
  • 高可用与灾备保障:管理和优化多种数据库系统,制定严密的数据备份、恢复和容灾策略,捍卫数据安全与可用性的红线。
  • 系统赋能:与后端及 AI 工程师紧密合作,从数据底层架构出发,为复杂的产品需求提供最优的数据存储与检索支持。