vivo软件工程师（后端方向）-27届暑期实习

我们是vivo后端团队，致力于为5亿+vivo智能手机用户提供极致的互联网软件产品体验和服务。 在这里，你将面对百万级QPS的挑战，也将为数毫秒甚至微秒级优化所带来性能提升或延时降低而振奋！ 你将与我们一起专注于： 1、参与互联网产品与服务后台系统的高可用架构设计与开发优化工作； 2、学习并使用最先进的架构设计理念和方法，通过优秀的工程实现将AI、大数据及云计算技术在业务系统中落地； 3、参与后台技术方案的设计和评审工作，为海量互联网用户提供稳定、安全、可靠和高效的后台系统支持； 4、参与后台系统的版本迭代与敏捷开发，并与产品/运营/测试等角色高效协作，为最终用户交付高质量的软件产品与服务。

1.负责各类后台服务和业务系统的需求分析、系统设计、开发实现； 2.参与后端模块、数据平台、基础服务等的开发工作； 3.分析并优化业务流程，参与系统长期架构设计与规划，探索合理、可扩展的系统模型，通过自动化等手段提升研发效率，提升需求迭代速度与系统能力； 4.保证系统稳定性，提升系统的容灾、降级及应急能力，提升系统的可用性和可维护性，协同QA保证高质量开发交付，优化系统性能、及时排查线上故障，保证系统稳定； 5.积极主动协调相关团队完成项目，促进团队合作，积极影响其它成员。

The Role Data is deeply embedded in the product and engineering culture at Tesla. We collect data from our vehicle fleet and use it to support service and engineering in identifying issues at the fleet or vehicle level, enabling diagnostic automation and technician workflow to identify issues and take corrective actions. We're looking for a talented engineer to join us in analyzing and reporting on data, creating ETL processes, and implementing improvements to our data platform. Your work will affect thousands of technicians and Tesla engineers daily, enabling them to keep our vehicle fleet on the road and improve customer experience. Responsibilities • Develop analysis and reporting focused on operational, technical metrics and KPIs • Deliver quick turnarounds on dashboards, identify trends and/or issues within data sets, and make recommendations to influence business decisions and investments • Improve our data platform by improving performance, stability and maintainability of our relational databases, ETL pipelines, queue (Kafka, RabbitMQ) environments • Evaluate the effectiveness of engineering initiatives and deliver actionable insights to improve service productivity • Present analytical results and insights to business partners to answer strategic questions and influence business decisions

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