Quality Assurance Engineer Intern
Amazon
Job Overview
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Job Description
Quality Assurance Engineer Intern
请注意：申请此实习岗位需要满足如下条件：
- 毕业时间：2025年10月 - 2026年9月之间毕业的应届毕业生
- 入职日期：2025年6月及之前
- 实习时间：保证一周实习4-5天全职实习，至少持续3个月
- 工作地点：北京朝阳区，酒仙桥路恒通商务园区，以及东四环远洋国际中心
校招信息请参考校园招聘申请手册：https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e
你想通过技术手段助力于开发效率提升吗?你喜欢与团队一起研究探讨工程生产力吗?你愿意参与推动DevOps在项目开发中的应用落地吗?
作为Quality Assurance Engineer Intern，你将直接与开发人员、质量保证工程师和产品经理合作，以确保我们的应用程序和平台的开发质量。我们正在使用令人兴奋的新技术，解决跨平台的复杂自动化问题。如果你有创造力，以客户为中心，对质量保证和测试自动化有热情，并且喜欢在快节奏的环境中工作，那么这个团队非常适合你！
Key Job Responsibilities
- 挖掘研发过程中提升质量和效率的工具需求，完成各类测试工具的架构设计、编码实现和在业务的落地。
- 赋能研发团队，将质量内建和CI/CD更好地应用于业务流水线，提升整体研发过程的工程效能。
- 开发高效稳定的自动化测试框架，为开发工程师和测试工程师提效。
Basic Qualifications
- 2026年毕业的计算机科学，软件，自动化或相关领域的本科/研究生。
- 熟悉Python，Java或Go等语言。
- 具备计算机科学基础知识，例如面向对象设计，数据结构和复杂性分析。
- 良好的英文沟通能力。
Preferred Qualifications
- 有技术实习经历。
- 良好的逻辑思维能力和问题分析能力。
亚马逊致力于打造多元化和包容性的工作场所。亚马逊是一家机会均等的雇主，不因种族、国籍、性别、性别身份、性取向、残疾、年龄或其他受法律保护的身份而歧视。如有残疾人士需要口译员或任何现场支持，请通知我们的团队。
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key skills/competency
- Quality Assurance
- Test Automation
- Software Testing
- DevOps
- CI/CD
- Python
- Java
- Go
- Data Structures
- Object-Oriented Design
How to Get Hired at Amazon
- Research Amazon's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight QA, automation, Python/Java/Go skills relevant to Amazon.
- Showcase automation projects: Prepare to discuss personal or academic projects involving test automation and tools.
- Prepare for technical interviews: Focus on data structures, algorithms, and object-oriented design principles.
- Practice behavioral questions: Frame your experiences using Amazon's Leadership Principles, demonstrating customer obsession and ownership.
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