美团交易系统平台-营销应用与工具中心-java开发
社招全职3年以上核心本地商业-业务研发平台地点：北京状态：招聘
任职要求
知识/技能： 1. 本科及以上学历，3年以上工作经验，扎实的计算机基础（操作系统，数据结构与算法）和软件开发； 2. 熟悉掌握常用的Java类库及开源框架，如多线程、并发处理、I/O与网络通讯、Spring等，掌握Java虚拟机原理，有JVM分析及调优的经验； 3. 精通 MySQL 应用开发，熟悉数据库原理和常用性能优化技术，了解分布式数据库、NoSQL、MQ的原理、使用场景以及限制； 4. 熟悉检索引擎、大数据处理的常见架构，Lucene的基本原理，对ElasticSearch有丰富的实践经验； 5. 研究过 http/tcp 协议、搜索引擎、缓存、jvm、序列化、nio、RPC框架等，有相关实践经验； 6. 擅长使用开源框架，在某个领域内对开源框架有一定的审美，做过选型研究，解读过部分或者全部源码，掌握实现原理； 经验： 1. 参与三高（高并发，高可用，高性能）系统的架构设计和优化； 2.参与复杂分布式系统的设计，拥有和工作年限相称的广度和（或）深度； 3.主导或参与中大型项目的研发工作，熟悉项目管理的基本知识与技能； 能力： 1.优秀的执行力，以客户为中心，快速响应各类业务问题和系统问题； 2.协作能力强，能够与相关方紧密协作，推动项目持续前进，实现合作共赢； 3.一定的洞察力，能够快速发现问题、定位问题、分析问题、解决问题； 4.坚持做正确的事，百折不挠，使命必达。 具备以下条件优先 1、具备营销领域相关经验优先； 2、具备批量数据处理经验优先； 3、具备ES、Clickhouse、Spark等经验有限
工作职责
1. 负责CLC营销应用与工具平台化系统建设，参与统一营销选品平台、权益平台、玩法中心等核心平台系统建设，支撑CLC多元化业务场景的大促活动及日常营销需求； 2.进行需求分析以及主要业务功能的开发，对现有业务模块进行优化； 3. 负责营销应用相关系统的设计和研发，针对十万级并发量不断优化系统架构，提供高性能、高可用的解决方案； 4. 负责相关系统的稳定性保障，99.99%是基本的目标，更好的支撑神券、美团会员等重要业务场景；
包括英文材料
学历+
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
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.
多线程+
https://liaoxuefeng.com/books/java/threading/basic/index.html
和单线程相比，多线程编程的特点在于：多线程经常需要读写共享数据，并且需要同步。
https://www.youtube.com/watch?v=_uQgGS_VIXM&list=PLsc-VaxfZl4do3Etp_xQ0aQBoC-x5BIgJ
https://www.youtube.com/watch?v=IEEhzQoKtQU
https://www.youtube.com/watch?v=mTGdtC9f4EU&list=PLL8woMHwr36EDxjUoCzboZjedsnhLP1j4
https://www.youtube.com/watch?v=TPVH_coGAQs&list=PLk6CEY9XxSIAeK-EAh3hB4fgNvYkYmghp
https://www.youtube.com/watch?v=xPqnoB2hjjA
This video is an introduction to multithreading in modern C++.
https://www.youtube.com/watch?v=YKBwKy5PrpQ
Rust threading is easy to implement and improves the efficiency of your applications on multi-core systems!
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.
JVM+
https://www.freecodecamp.org/news/jvm-tutorial-java-virtual-machine-architecture-explained-for-beginners/
https://www.youtube.com/watch?v=e2zmmkc5xI0
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.
NoSQL+
https://nosql-database.org/
Everything about NoSQL Systems – Types, Benefits, and Real-World Uses
https://piaosanlang.gitbooks.io/mongodb/content/section1.1.html
NoSQL(NoSQL = Not Only SQL )，即"不仅仅是SQL"，指的是非关系型的数据库。是对不同于传统的关系型数据库管理系统的统称。
https://www.youtube.com/watch?v=0buKQHokLK8
NoSQL databases can operate in multiple modes: as key-value store, document store or wide column store.
消息队列+
https://www.youtube.com/watch?v=xErwDaOc-Gs
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.
HTTP+
https://developer.mozilla.org/zh-CN/docs/Web/HTTP
超文本传输协议（HTTP）是一个用于传输超媒体文档（例如 HTML）的应用层协议。它是为 Web 浏览器与 Web 服务器之间的通信而设计的，但也可以用于其他目的。
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
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.
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.
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.
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
ClickHouse+
[英文] Advanced Tutorial
https://clickhouse.com/docs/tutorial
Learn how to ingest and query data in ClickHouse using the New York City taxi example dataset.
https://www.youtube.com/watch?v=FtoWGT7kS-c
ClickHouse is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.
https://www.youtube.com/watch?v=Rhe-kUyrFUE&list=PL0Z2YDlm0b3gcY5R_MUo4fT5bPqUQ66ep
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.
相关职位
社招3年以上核心本地商业-业
1、主导营销领域AI系统架构设计，实现大模型Agent在营销运营、商家端等场景的工程化落地； 2、构建支持亿级流量的AI工程体系，设计实现基于大模型的营销解决方案； 3、深入理解营销投放、用户增长、营销策略等业务场景，设计AI驱动的新型营销解决方案； 4、推动业务-算法-工程协同，设计可解释、可监控、可运营的智能系统； 5、建立AI工程规范与质量保障体系，主导技术方案评审与核心代码开发； 6、制定AI工程体系技术演进路线，推动MLOps体系建设与工具链升级。
更新于 2025-03-04
社招3年以上核心本地商业-业
1、负责营销平台化产品的研发和维护，服务美团核心本地商业的营销业务； 2、参与核心营销应用与工具平台化系统能力建设，参与统一营销选品平台、权益平台、玩法中心等核心平台系统建设，支撑CLC多元化业务场景的大促活动及日常营销需求；； 3、负责PC端和移动端WebApp的业务模块开发，对应用的性能进行调优和架构优化； 4、负责前端框架的探索和使用，构建技术工具，提供公共服务，提升研发效率； 5、对团队初级前端同学进行指导； 6、关注并紧跟业界前端发展的前沿。
更新于 2025-04-08
社招3年以上核心本地商业-业
1.参与大模型在拼好饭业务B、C端应用与创新，涉及语义分析、自然语言处理、人机对话、RAG（检索增强生成）、知识图谱、AI Agent等技术； 2.参与AI工程系统的架构设计，将AI产品构想转化为工程解决方案，支持项目落地执行，并参与系统架构与用户体验的优化； 3.开发和完善基于大语言模型 (LLM) 的智能体系统，设计并实现 Agent 的工具接口，提升 Agent 的自主决策和任务执行能力； 4.关注AI技术前沿，参与技术探索和实践，支持团队在供给、营销、导购等任意领域的技术创新。
更新于 2025-03-14
实习核心本地商业-基
1.根据外卖业务场景，与各业务团队深入合作，搭建满足外卖一线管理团队，商分，运营，策略等团队日常运营及分析的运营数据体系； 2.负责规划和设计数据工具和应用系统或产品；协同业务方，PM，RD，QA等资源，完成外卖数据产品推动落地和持续迭代； 3.通过抽象建设覆盖经营、交易、补贴、营销、流量等主题的数据分析方法和分析思路，赋能业务发展。 4.负责外卖数仓建设，协同业务后线、运营，提升经营和运营效率。 5.负责数据平台系统、数据运维系统能力建设，维护系统稳定性。 6.负责画像平台系统、AI敏捷开发平台能力建设
更新于 2025-10-12