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Geely Automobile Holdings · 宁波市, 浙江, 中国 +1 more

# 数据闭环后端开发工程师

宁波市, 浙江, 中国 +1 more 

Listed on Geely Automobile Holdings’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.
[Apply on Geely Automobile Holdings’s careers site →](https://app.mokahr.com/social-recruitment/geely/102042#/job/2a0fa35a-aa5c-4dab-80e7-0c408dc7b29d)

[OpenNash Jobs](https://jobs.opennash.com/) / [Geely Automobile Holdings](https://jobs.opennash.com/companies/geely-automobile-holdings/) / 数据闭环后端开发工程师

## Job description

1. 数据闭环平台建设 参与数据闭环平台全链路的设计与研发，覆盖车端数据采集、入湖、清洗、挖掘、检索等全流程自动化能力。 对接车端数据采集协议与云端数据处理需求，保障百万级车端事件的高效接收、解析与流转。 2. 架构与稳定性优化 持续优化平台代码与系统架构，微服务拆分与接口设计，提升系统可扩展性、高可用性与稳定性，支撑业务规模快速增长。 1. 计算机、软件工程等相关专业本科及以上学历； 2. 3年以上后端开发经验，有自动驾驶车端数据采集 / 云端数据处理研发经验者优先，有自动驾驶/车联网背景更佳； 3. 精通 Java，熟悉 Spring Cloud、Spring Boot等主流后端框架，掌握事件驱动、消息队列（Kafka/RabbitMQ）等核心技术的落地实践； 4. 熟悉分布式系统、微服务架构设计原则，具备高并发、低延迟系统的研发能力，能支撑日均百万级事件的处理与流转； 5. 掌握 PostgreSQL、MongoDB、ES、Redis 等存储中间件，具备数据建模与性能优化能力； 6. 熟悉云原生技术（Kubernetes、Docker 等），有容器化部署经验。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 23, 2026
- Last checked: Oct 23, 2026
- Listed for: Under a day
- Location: 宁波市, 浙江, 中国 +1 more[Apply on Geely Automobile Holdings’s careers site →](https://app.mokahr.com/social-recruitment/geely/102042#/job/2a0fa35a-aa5c-4dab-80e7-0c408dc7b29d)

## More jobs at Geely Automobile Holdings

### [智能驾驶软件开发岗（集成测试部）](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/1298849a1c41bddd9497/)

宁波市, 浙江, 中国 +1 more

### [智能驾驶软件测试岗（计算平台）](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/27194232482692b02e01/)

宁波市, 浙江, 中国 +1 more

### [项目经理（智能座舱云端方向）](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/8cae02d5bbf7ad9f05a1/)

宁波市, 浙江, 中国 +1 more

### [3D美术（Unity/Laya方向）](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/f6fd15bb1b7a363b4de3/)

杭州市, 浙江, 中国

### [Aigc算法工程师](https://jobs.opennash.com/companies/geely-automobile-holdings/jobs/42a1bd09d2f327e48780/)

上海市, 中国

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