蚂蚁金服OceanBase-Database Solution Architect-SEA-OceanBase
任职要求
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred. • Passion and energy to strive in a dynamic, disruptive, fast pace and energetic environment. • Strong communication skills and adaptability, be able to communicate with customer independently, understand customer requirement and propose technical solution. • More than five years’ experience working with customers in a pre-sales or post-sales technical role. Ideally, 2+ years as a solution architect at an established database technology company or company with mature cloud DB offering • Database Administrator or Architect prior experience preferred • Able to write, analyse and optimize SQL, in particular MySQL and/or Oracle databases • Familiari…
工作职责
• Be a subject matter expert on databases, particularly on Relational Databases, able to discuss with customer on database modelling, migration, performance testing and day to day operations • Have wide ranging experience with open source and commercial databases such as MySQL, PostgreSQL, Oracle & SQL Server…etc • Be familiar with major cloud service providers in using it for deployment of workloads (AWS, Alicloud, GCP, Azure…etc) • Be a technical expert on all aspects of OceanBase (compatibility assessment, deployment, administration, development, migration…etc) • Facilitate introduction, discussion and demonstration of OceanBase’s technology, vision and value proposition either via individual or group sessions with customers • Engage and discover prospects’ pain points, business/technical challenges and identify how OceanBase can add value • Run Proof of Concept projects with customers to validate OceanBase’s capabilities Support post sale OceanBase implementation with OceanBase delivery team • Maintain deep understanding of competitive as well as complementary technologies and how to position OceanBase DB in relation to them • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve OceanBase product and position in the market
-数据库质量保证策略设计 -基于数据库内核架构（如事务引擎、存储管理、并发控制等），设计覆盖功能、性能、稳定性、安全性和灾难恢复的综合性测试策略 -针对极端场景（如硬件故障、网络分区、超大规模数据压力）和大事务/高并发场景，构建破坏性测试和压力测试模型 -测试用例开发 -编写自动化测试脚本（如Python/Perl/Shell/C++），覆盖SQL语法、事务隔离级别、锁机制、备份恢复等核心功能 -自动化测试工具以及测试用例管理平台的开发和管理工作。 使用各种测试工具和技术，自动化测试，记录和分析测试结果，并跟踪和验证缺陷 -编写测试报告和文档： 清晰准确地记录测试过程、结果和分析，编写测试报告和相关文档 -设计复杂场景测试用例，例如：极端压力测试：模拟百万级并发事务、TB级数据量下的系统稳定性；破坏性测试：强制断电、磁盘I/O错误注入、内存溢出等异常场景；边界条件测试：验证索引深度、页分裂、日志写满等临界值场景 -性能分析与调优 -使用工具（如sysbench、tpcc、tpch、自定义基准测试）分析查询执行计划、锁竞争、I/O瓶颈 -结合内核日志（如InnoDB redo log、PostgreSQL WAL）定位性能问题，推动优化方案落地 -缺陷管理与协作 -搭建测试环境（含多节点集群、混合负载），复现并跟踪内核级Bug（如死锁、数据不一致） -与开发团队紧密合作，提供Root Cause Analysis（RCA）支持，参与代码审查，提供测试反馈，协助开发人员定位和修复问题，推动内核代码修复 -技术预研与创新 -探索新技术（如向量化查询、持久内存、分布式事务）的测试方法 -开发定制化测试工具（如混沌工程平台、自动化故障注入系统）
- 负责百度智能云分布式关系型数据库计算引擎的设计与开发 - 负责百度智能云分布式关系型数据库元信息服务的设计与开发 - 负责百度智能云分布式关系型数据库日常线上问题跟进 - 负责百度智能云分布式关系型数据库客户支持
1. 自研LLM推理框架：吸收开源优化思路，结合工程创新实现世界一流的性价比。 2. 让大模型更普惠: 在PC和一体机场景，探索CPU/GPU混合计算，实现最低资源跑大模型。 3. 让大模型更便宜: 对大规模serving场景，探索调度，分布式优化机会追求单卡吞吐量最大化。 4. 让大模型国产化: 国产化芯片的适配和优化。
1. 向量数据库（算法、索引、查询、存储）等方向研发 2.多模数据库（空间数据库、文档数据库等）相关计算、存储开发