* Basic writing and communication skills in English
* Undergraduate and master students graduated in 2026
* Ensure at least three months of internship
* Eager to learn and have the ability to think and solve problems independently
* Proactive and responsible working attitude
* 通信、计算机、软件工程、电子信息、云计算,大数据等专业,及对IT基础设施运维有极大兴趣的其它专业
* 英文达到CET4水平
* 2026届毕业的在校本科、硕士生
* 保证至少三个月的实习时长
* 求知好学,有独立思考并解决问题的能力
* 工作态度积极主动,认真负责
* Relevant educational qualification majoring in Computer Science, Network Engineering, or Electronic Engineering.
* IT Hardware Concepts.
* Understanding of basic computer/network concepts and terms.
* x86 Architecture.
* Experience in Microsoft office applications including but not limited to Outlook, MS Word, and MS Excel.
* Good English written and read skills.
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.
Amazon Web Services is growing rapidly, and we are looking for Data Center Technician Trainees to join our team.
This role is a unique opportunity to work in some of the most cutting edge Data Centers in the world. The Data Centers in Amazon Web Services are large-scale high-density centers where you will be working on changing the face of Cloud technology in the region.
The Data Centers in Amazon Web Services take customer data with the utmost importance, and selected candidates must be able to perform repetitive tasks without variance and adhere to strict Standard Operating Procedures (SOP) that ensures customer data is protected and properly handled.
This Entry Level position requires candidates to be a self-starter, highly motivated individual who can adhere to strict processes and be able to perform repetitive tasks with no deviation and demonstrate continuously consistent results. Team Members will be working in a team environment not only with other members of the team but also from other teams and must be able to communicate and promote cross-team functionality.
Upon successful completion of internship program, you will have the opportunity to receive return full time offers as Data Center Techs. Come build the future with us.
亚马逊云科技正在快速发展,我们寻找数据中心技术支持运维实习生加入我们,来增强不断扩大的数据中心运维技术支持团队。
这是一个在世界上技术前沿的数据中心工作的独特机会。亚马逊云科技的数据中心是大规模的高密度云计算中心,你将致力于共同提升该云计算区域的技术实力。
亚马逊云科技的数据中心非常重视客户数据,选定的应聘者必须能够无差异地执行重复性任务,并遵守严格的标准操作程序(SOP),确保客户数据得到保护和正确处理。
实习期间要求应聘者能够积极主动,遵守严格的流程,毫无偏差地执行重复性任务,并展示持续一致的结果。团队成员将在团队环境中工作,不仅与团队内的成员一起工作,还与其他团队的成员一起协作,保持沟通和促进跨团队功能。
成功完成实习计划后,您将有机会获得作为数据中心技术人员的全职工作机会.。来和我们一起创造未来吧。
Key job responsibilities
Under the guidance of regular employees, be responsible to support for the following work, including but not limited to:
* Hardware support of x86 architecture server and network devices, including hardware issue diagnosis, hardware replacement, etc.;
* Linux support, including log diagnosis, firmware upgrade, etc.;
* Network devices system technical support, installation and configuration upgrading;
* Network link troubleshooting;
* Request and response for the global team, communicate and cooperate with the global team, and complete various types of team cooperation work, such as equipment upgrading, fault analysis, troubleshooting, etc.;
* Python, Java, Ruby and other development projects, develop scripts or applications according to team needs;
* AWS products, such as lambda, S3, SQS, SNS, dynamodb, etc., to build automatic support system;
* Technical documents of hardware and system architecture, communicate and discuss with the global service team, and write technical support documents
在正式员工指导下,负责包括但不限于以下工作:
* X86架构服务器和网络设备硬件维护,包括硬件问题诊断,硬件更换等;
* Linux 服务器系统维护,包括日志诊断,脚本运行,固件升级等;
* 网络设备系统维护,配置文件的安装、升级;
* 网络链路问题排查及处理;
* 全球团队的请求与响应,与全球团队沟通合作,完成各类型的团队协作工作,如设备升级,故障分析、排除等工作 ;
* Python,Java,Ruby等开发项目, 根据团队需求,开发脚本或应用程序等;
* 使用AWS 产品,例如Lambda,S3,SQS,SNS,DynamoDB等,构建自动化运维系统;
* 硬件与系统架构的技术文档学习,与全球服务团队交流探讨,撰写运维文档.
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