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Open nowPosted 318 days ago

AI数据库资深研发工程师(Serverless PostgreSQL) - 数据库

ByteDance19,227 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowAI数据库资深研发工程师(Serverless PostgreSQL) - 数据库ByteDance · Shenzhen, Guangdong, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 318 days ago

ByteDance median: 2 days open

The posting

团队介绍:字节跳动基础设施数据库团队,是支撑集团业务的核心技术底座之一。我们管理着业界超大规模的数据库集群,承载了抖音、豆包大模型、今日头条、电商、飞书等核心业务的万亿级流量。从海量并发的事务处理到极致复杂的实时分析,我们直面全球最严苛的技术挑战,同时通过火山引擎为众多企业客户提供具备企业级稳定性的全栈数据库服务。团队基于自研技术栈,打造了涵盖关系型数据库、NoSQL 数据库、多模数据库、大规模图计算平台、多模态检索、云原生中间件的完整数据库产品矩阵。我们践行 “务实浪漫” 的极客文化,不仅在 VLDB、SIGMOD、ICDE 等顶级会议持续输出突破性成果,更将极致的性能优化与软硬协同技术落地于实际生产环境,引领数据库技术迈向云原生新纪元。AI 时代,我们践行 “勇攀高峰”,正致力于构建 Agent-First 的新一代数据架构,打破模型与数据的边界,赋予数据库在智能体生态中主动感知、推理辅助与复杂记忆管理的核心能力。我们的研发团队分布于国内/海外多地,汇聚了行业顶尖的数据库专家,与全球顶尖高校、研究机构深度合作,潜心打磨数据库技术。现诚邀具备数据库内核研发经验、分布式系统架构能力及 AI 创新视野的顶尖极客,携手探索技术无人区,定义 AI 时代的数据基座,赋能全球企业实现 AI 驱动的业务变革。

1、负责Serverless PostgreSQL面向AI时代的数据基础设施建设,包括技术规划、架构设计、产品化与服务化,解决千万实例规模下的系统工程问题,打造支撑超大规模AI应用的数据库底座; 2、负责Serverless PostgreSQL核心模块与关键技术方案落地,包括内核、Serverless、Data as Git、Zero Down Time、企业级高可用等,推动下一代PostgreSQL系统在稳定性、性能、弹性、成本、效率、扩展性和开发者体验等方面的持续演进; 3、负责AI Agent、RAG、Vector、多模态等AI数据库原生方向,面向妙搭、豆包等AI平台与AI Agent业务,进行前沿探索、架构融合与场景落地,支撑公司核心AI产品的快速增长; 4、负责数据库、云平台、AI产品、安全与基础架构团队深度协作,推动从技术创新到业务价值落地,提升团队在PostgreSQL及AI Data Infra领域的技术影响力。

1、具备扎实的计算机基础,熟练掌握C、C++、Rust、Go中至少一种编程语言,深入理解数据库、操作系统和分布式系统的核心原理,能够系统分析解决复杂问题; 2、具备5年及以上PostgreSQL数据库内核、云数据库或分布式基础设施研发经验;深入理解PostgreSQL架构,并在优化器、执行器、事务与并发控制、存储、复制与恢复、高可用、扩展性、性能等一个或多个方向具备生产级实践经验; 3、熟悉Kubernetes、容器、虚拟化及云原生技术,具备多租户分布式系统的架构设计、研发或生产落地经验; 4、具备较强的系统设计与工程落地能力,能够围绕稳定性、性能、扩展性、安全、资源利用率和成本进行技术权衡,并对关键技术结果负责; 5、具备良好的技术判断、复杂问题拆解和跨团队协作能力,既能推动长期架构演进,也能深入一线解决关键生产问题; 6、对数据库和AI基础设施保持长期兴趣,持续关注行业发展,具备较强的学习能力和技术洞察力。

加分项 1、具有百万/千万级实例规模、多租户数据库平台、Serverless Database或云服务的研发和生产实践经验; 2、具有AI Agent、Agent Memory、RAG、向量与混合检索、知识库或多模态等AI数据基础设施相关项目经验; 3、熟悉pgvector、Neon PostgreSQL、Supabase、DuckDB、AlloyDB、Aurora、HorizonDB等PostgreSQL生态项目,并能够理解其核心架构; 4、具有PostgreSQL、数据库内核、云原生数据库或分布式系统领域的开源贡献、专利、论文或行业影响力。

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