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Kuaishou Technology · Beijing

# 支付平台后端工程师（可灵AI）

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/32547)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 支付平台后端工程师（可灵AI）

## Job description
- 负责可灵国内及海外支付体系的整体设计与长期演进，建设统一的渠道接入与收银台能力，支持新市场、新支付方式快速拓展，支撑全球业务发展；
- 面向 AI 大模型商业化场景，建设订阅计费、退款售后等标准化支付能力，为多业务线提供通用、可复用的支付底座；
- 构建高并发、高可用的交易架构，建立资损防控、对账与监控告警体系，保障支付核心链路稳定与资金安全；
- 与产品、商业化、财务、风控、法务等团队紧密协作，推动支付方案从设计到上线的闭环落地。 1、3 年及以上支付核心系统设计与落地经验；至少具备国内支付、海外/跨境支付经验之一（收单、本地支付方式、多币种、订阅续费等），有完整支付系统从 0 到 1 或大规模架构升级经历优先； 2、对支付全链路有完整理解，熟悉订单状态机、幂等与一致性、退款、渠道路由、对账、清结算等核心概念，能扛住资损审查； 3、技术栈扎实：熟悉 Java/Kotlin 后端生态，熟悉 Kafka、MySQL 分库分表、分布式锁、分布式事务；熟悉高并发交易系统设计，能独立完成核心链路方案设计；熟练使用 AI Coding 工具（Cursor、Claude Code、Copilot 等）提升研发效率； 4、强稳定性意识与资损敏感度，习惯从「可用性、一致性、可观测、可回滚」出发做方案；
- 做事闭环、结果导向、沟通清晰；具备良好的技术规划能力与跨团队推动力，能在多团队协作中把复杂方案稳妥落地；

### 具备以下经验者优先
- 主流支付平台（Stripe、PayPal、支付宝、微信支付等）对接或从业经验；订阅、Credits 等商业化业务经验；支付审计要求与风控体系建设经验；海外税务合规、国际化或 AI 产品经验。

## 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/32547)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

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### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

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### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

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### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

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### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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