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Kuaishou Technology · Beijing

# Java后端研发工程师/专家（实验平台）-【数据平台】

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/5763)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / Java后端研发工程师/专家（实验平台）-【数据平台】

## Job description
- 高并发实验平台建设； 设计亿级QPS用户分流系统，开发低侵入式Agent/SDK，支撑短视频、直播、商业化等核心业务AB实验；攻克复杂场景性能瓶颈（如亿级QPS实验入组数据实时上报），支撑万级并行实验在业务系统的稳定运行；
- 基于大数据引擎的架构优化；主导实验数据生产链路架构升级，实现秒级数据计算，替代传统Spark天级时延；设计高性能高可靠实验数据分析方案，解决百亿量级指标毫秒级查询和数据异动归因；
- 智能化实验引擎开发；集成AI能力实现智能异动归因（自动定位指标波动根因）、实验效果预测（迁移学习模型预判策略收益）；构建自动化实验报告系统，输出统计显著性分析及业务决策建议。 基础要求 1、 3～5年 Java 开发经验，精通SpringBoot、Netty等框架； 2、熟练使用MySQL、Kafka、Redis 等中间件； 3、有高并发SDK/Agent开发经验，掌握JVM调优。 优先录用
- 参与过AB实验平台或其他数据产品架构设计；
- 具备大数据引擎应用能力，熟悉使用Spark、Clickhouse、Doris、Flink等引擎，优化过OLAP引擎查询性能；
- 拥有AI工程化落地经验（RAG、Agent、MCP、AI Workflow等）；
- 熟悉智能实验技术栈，熟悉因果推断模型（如Causal Forest）、实验效果预测（Meta-Learning/Transfer Learning）。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/5763)

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