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UDF）\n-高可用、智能运维与自治增强（延续并升级）\n-结合 AIOps 实现自动索引推荐、参数调优、异常根因分析\n-支持 Serverless 模式下的冷启动优化、连接池代理、请求级资源隔离\n-技术前瞻与生态引领\n-跟踪 Neon、Tembo、Supabase、FerretDB 等新兴 PG 生态的技术路线\n-推动开源协同，探索将内部创新回馈社区（如开源分支管理、WAL 分离组件等）\n职责要求 / Requirements\n-必备条件（Must-have）\n-深厚的 PostgreSQL 内核功底\n-熟悉 PG 源码（v12+），有内核模块开发经验（如自定义 AM、Hook、WAL 重放逻辑）\n-理解 MVCC、WAL、复制槽、逻辑解码等机制，能针对云环境重构关键路径\n-云原生数据库实战经验\n-有存算分离、共享存储、无服务器（Serverless）数据库架构设计或开发经验\n-熟悉 Neon、Aurora、PolarDB、CockroachDB、Vitess 等系统者优先\n-掌握 Kubernetes Operator、Sidecar 模式、Service Mesh 在数据库控制面的应用\n-AI/向量场景理解与工程落地能力\n-了解向量数据库基本原理（HNSW、IVFFlat）、PG 向量扩展生态\n-有为 AI 应用构建数据管道、特征存储或实时检索系统的经验\n-系统工程与性能调优能力\n-精通 C/Rust，熟悉 Linux I/O 栈、eBPF、io_uring、RDMA 等底层技术\n-能在百万 QPS 或 PB 级数据下定位瓶颈并设计可扩展方案\n-加分项（Nice-to-have）\n-深入研究过 Neon 的架构（Pageserver + Safekeeper + Compute 分离模型）并有复现或改进经验\n-参与过开源向量数据库（如 Weaviate、Qdrant）或 PG 扩展项目\n-熟悉数据库与 LangChain/LlamaIndex 等 AI 框架的集成模式\n-有 Serverless 平台（如 AWS Lambda、阿里云 FC）与数据库协同调度经验\n-在 GitHub 或社区发布过 PG 相关工具、Benchmark 或 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