小米Java 后端研发工程师
社招全职10年以上A94038地点:武汉状态:招聘
任职要求
1.有 10 年及以上的 Java 开发经验,有互联网工作经历; 2.熟悉MySQL数据库设计和优化, 有Redis,ElasticSearch等数据库使用经验; 3.有大型分布式、高并发、高负载、高可用性系统设计和稳定性经验; 4.沟通能力强,乐于学习分享,良好的沟通心态,能承受一定的工作强度; 5.高度责任感,抗压能力强,思维灵活,跨部门沟通及逻辑分析判断能力强; 6.愿意接触、学习微软 Dynamics技术栈,并支持对应模块的Java 技术转型;
工作职责
1.参与公司国际业务系统需求分析和系统方案设计; 2.参与系统平台开发相关的工作,包括系统设计、技术架构搭建、详细设计、编码、单元测试和集成测试、部署等; 3.负责对Java、Power Apps、Power Platform、项目实施、运维等过程中出现的问题,进行诊断指导; 4.负责带领和指导初级工程师,共同完成有挑战性的系统建设; 5.完成相关设计、技术文档的撰写
包括英文材料
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
MySQL+
https://juejin.cn/post/7190306988939542585
这是一篇 MySQL 通关一篇过硬核经验学习路线,包括数据库相关知识,SQL语句的使用,数据库约束,设计等。
[英文] MySQL Tutorial
https://www.mysqltutorial.org/
your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.
https://www.youtube.com/watch?v=5OdVJbNCSso
MySQL SQL tutorial for beginners
https://www.youtube.com/watch?v=7S_tz1z_5bA
This beginner-friendly course teaches you SQL from scratch.
Redis+
[英文] Developer Hub
https://redis.io/dev/
Get all the tutorials, learning paths, and more you need to start building—fast.
https://www.runoob.com/redis/redis-tutorial.html
REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统,是跨平台的非关系型数据库。
https://www.youtube.com/watch?v=jgpVdJB2sKQ
In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
高并发+
https://www.baeldung.com/concurrency-principles-patterns
In this tutorial, we’ll discuss some of the design principles and patterns that have been established over time to build highly concurrent applications.
https://www.baeldung.com/java-concurrency
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
https://www.oreilly.com/library/view/concurrency-in-go/9781491941294/
You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems.
https://www.oreilly.com/library/view/modern-concurrency-in/9781098165406/
With this book, you'll explore the transformative world of Java 21's key feature: virtual threads.
https://www.youtube.com/watch?v=qyM8Pi1KiiM
https://www.youtube.com/watch?v=wEsPL50Uiyo
高负载+
https://dev.to/m0n0x41d/highload-saga-the-fundamentals-4kj4
In the modern big tech world, there are titans among mortal, tiny applications, and the common name for such titans is "Highload applications."
高可用+
https://redis.io/blog/high-availability-architecture/
A high available architecture is when there are a number of different components, modules, or services that work together to maintain optimal performance, irrespective of peak-time loads.
https://www.ibm.com/think/topics/high-availability
High availability (HA) is a term that refers to a system’s ability to be accessible and reliable close to 100% of the time.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
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