小红书电商智能化高可用架构师 (AI Ops/AI Agent)
社招全职3-5年后端开发地点:上海 | 杭州状态:招聘♡ 收藏
工作描述
任职要求 - 技术根基:本科及以上学历,3年及以上后端或架构相关经验,有大型高并发系统落地实战者优先; - 知识体系:深刻理解高可用架构体系(包括服务治理、限流熔断、容灾降级、混沌工程、多活架构等); - 基建功底:熟悉主流基础组件(RPC、分布式存储、MQ、缓存等)的内部实现原理,具备大流量场景下的调优经验; - AI 基因与 AIOps 视野:熟悉 Trace/Log/Metrics 链路追踪与观测基建 (如 OpenTelemetry),有 AIOps、智能告警、故障自愈,或将 LLM/AI Agent 框架 (如 LangChain/Agentic Workflows) 融入工程自动化实践经验者优先; - 极客精神:极…
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包括英文材料
学历+
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.
服务治理+
https://cloudnativecn.com/blog/istio-traffic-management-series-service-management-concept-theory/
通过阅读本文读者可以初步理解 Istio 流量治理的概念和相关知识框架。
https://juejin.cn/post/6844904006033080334
服务治理主要包括服务发现、负载均衡、限流、熔断、超时、重试、服务追踪等。我们今天要讲的,就是服务发现的内容。
RPC+
https://javaguide.cn/distributed-system/rpc/rpc-intro.html
为什么要 RPC ? 因为,两个不同的服务器上的服务提供的方法不在一个内存空间,所以,需要通过网络编程才能传递方法调用所需要的参数。并且,方法调用的结果也需要通过网络编程来接收。
https://www.youtube.com/watch?v=S2osKiqQG9s
This video is part of an 8-lecture series on distributed systems, given as part of the undergraduate computer science course at the University of Cambridge.
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