哔哩哔哩高级/资深 Java 开发工程师（游戏商业方向）
社招全职3年以上技术类地点：上海状态：招聘
任职要求
1. 3年以上java开发经验，有扎实的java基础技术体系，包括JVM、线程、并发、IO资源管理、网络等； 2. 熟悉主流开源应用框架，如Spring、iBatis、Maven、微服务等开发技术 3. 熟悉分布式系统的设计和应用，熟悉分布式、缓存、消息、负载均衡等机制和实现； 4. 熟悉使用大数据平台和工具，如Hadoop、Hive、Spark、Kafka、Flink等； 5. 较强的表达和沟通能力，有很强的分析问题和解决问题的能力，有强烈的责任心。 6. 有游戏分发业务经验和大厂背景加分
工作职责
1. 负责联运游戏分发业务相关服务的开发与设计 2. 负责核心服务架构设计、方案评审、服务落地，并能独立攻克技术难题和系统优化以及稳定性保障 3. 对前沿技术持续保持关注和实践，并能够结合当前业务所处阶段做好技术预瞻和应用
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.
JVM+
https://www.freecodecamp.org/news/jvm-tutorial-java-virtual-machine-architecture-explained-for-beginners/
https://www.youtube.com/watch?v=e2zmmkc5xI0
Spring+
https://liaoxuefeng.com/books/java/spring/index.html
Spring是一个支持快速开发Java EE应用程序的框架。它提供了一系列底层容器和基础设施，并可以和大量常用的开源框架无缝集成，可以说是开发Java EE应用程序的必备。
https://spring.io/guides/gs/rest-service
https://spring.io/quickstart
Level up your Java code and explore what Spring can do for you.
iBATIS+
[英文] iBATIS Tutorial
https://www.tutorialspoint.com/ibatis/index.htm
Maven+
https://liaoxuefeng.com/books/java/maven/index.html
Maven是一个Java项目管理和构建工具，它可以定义项目结构、项目依赖，并使用统一的方式进行自动化构建，是Java项目不可缺少的工具。
https://www.youtube.com/watch?v=Xatr8AZLOsE
You'll learn how to use Maven like a professional: installations, using the mvn wrapper, using Maven together with IDEs, and of course the Maven basics.
微服务+
https://learn.microsoft.com/en-us/training/modules/dotnet-microservices/
Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.
https://microservices.io/
Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.
https://spring.io/microservices
Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.
https://www.ibm.com/think/topics/microservices
Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.
https://www.youtube.com/watch?v=CqCDOosvZIk
https://www.youtube.com/watch?v=hmkF77F9TLw
Learn about software system design and microservices.
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
Hadoop+
https://www.runoob.com/w3cnote/hadoop-tutorial.html
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持，它允许使用简单的编程模型跨计算机群集分布式处理大型数据集，并且支持在单台计算机到几千台计算机之间进行扩展。
[英文] Hadoop Tutorial
https://www.tutorialspoint.com/hadoop/index.htm
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
Hive+
[英文] Hive Tutorial
https://www.tutorialspoint.com/hive/index.htm
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.
https://www.youtube.com/watch?v=D4HqQ8-Ja9Y
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Kafka+
https://developer.confluent.io/what-is-apache-kafka/
https://www.youtube.com/watch?v=CU44hKLMg7k
https://www.youtube.com/watch?v=j4bqyAMMb7o&list=PLa7VYi0yPIH0KbnJQcMv5N9iW8HkZHztH
In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
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