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Open nowPosted 65 days ago

自动化测试交付工程师

acnc6zeentra/index41 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now自动化测试交付工程师acnc6zeentra/index · Shanghai, Chinese Mainland
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  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 65 days ago

The posting

岗位定位 负责客户项目及内部产品的自动化测试、性能测试和质量交付。希望候选人具备较强的动手能力、问题拆解能力和交付意识,能够深度使用 AI 编程工具,完成测试方案、自动化脚本、模型压测、问题定位及验收交付。

岗位职责 1. 根据项目需求制定测试与交付方案,覆盖 Web、API、权限、异常、数据状态及核心业务流程。 2. 开发和维护接口、UI 及端到端自动化测试,完成测试数据构造、Mock、回归验证和 CI 集成。 3. 负责大模型及 AI 服务的性能测试与压测,验证并发能力、吞吐量、首包延迟、响应耗时、资源利用率、稳定性及容量上限。 4. 参与 Agent、异步任务、流式响应等复杂链路测试,验证状态流转、超时重试、结果一致性和日志链路。 5. 使用 AI 编程工具辅助用例设计、脚本开发、压测分析、日志排查和文档整理,并对生成结果进行校验。 6. 配合客户、产品和研发完成环境对接、性能瓶颈定位、缺陷闭环、验收支持及交付材料沉淀。

1. 0—3 年测试开发、自动化测试、性能测试或项目交付经验,优秀应届生亦可;学历不作为强门槛。 2. 熟悉 HTTP/API,能够使用 Python、JavaScript、TypeScript 或 Go 中至少一种语言编写测试及压测脚本。 3. 使用过 Playwright、Cypress、Selenium、pytest、Postman、Apifox、JMeter、k6 或 Locust 等任一工具。 4. 了解常见性能指标和压测方法,能够完成场景设计、数据分析、瓶颈定位及测试报告输出。 5. 具备良好的学习、沟通和问题推进能力,能够独立拆解需求并推动测试、定位和验收闭环。 6. 有 Codex、Claude Code、Cursor、ChatGPT 等 AI 工具的真实使用经验,能够说明如何借助 AI 完成交付任务。

加分项 1. 有大模型推理、AI 应用、开放 API、音视频、异步任务或流式服务压测经验。 2. 了解 GPU/NPU 利用率、显存、并发、吞吐量、首 Token 延迟(TTFT)及单 Token 延迟(TPOT)等指标。 3. 有测试平台、性能分析工具、CI/CD 集成、私有化项目测试或客户验收交付经验。

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