叠纸游戏广告开发资深架构师
社招全职6年以上平台类地点：上海状态：招聘
任职要求
1、本科及以上学历，6年以上广告系统设计和开发经验，具备较强的架构设计能力，至少精通Go，Java，C++中的一种或多种开发语言，有Golang开发经验者优先； 2、熟悉常用的业务组件，包括但不限于MySQL、Redis、Kafka、Flink、StarRocks等开源组件，并了解其特性和基本原理，最少了解一种的RPC框架； 3、对分布式系统的服务治理有深刻的理解以及实践经验的优先，有参与过高并发系统开发，熟悉分布式、负载均衡、流控等机制的优先； 4、熟悉大数据Hadoop生态产品和其他开源产品，了解大数据ETL、OLAP等技术，有大数据流式计算和实时数仓开发经验者优先； 5、有游戏公司/互联网公司广告系统的开发经验者优先，有带团队经验的优先； 6、积极主动、自驱力强，具有良好的团队沟通与协作能力，深入了解业务并与业务中各角色建立沟通，迅速推进项目与问题的解决。
工作职责
1、负责游戏广告的架构设计和实现，保障系统稳定性，负责项目中的难点进行攻关； 2、按照项目计划，按时提交高质量代码，完成开发任务； 3、与业务和产品团队紧密合作，通过技术手段推动业务持续改善； 4、负责技术方向建设、人才培养和协助团队管理工作，对团队的研发质量和效率负责。
包括英文材料
学历+
广告系统+
https://github.com/InteractiveAdvertisingBureau/openrtb2.x
Real-time Bidding (RTB) is a way transacting media that allows an individual ad impression to be put up for bid in real-time.
https://people.eecs.berkeley.edu/~jfc/DataMining/SP12/lecs/lec12.pdf
https://wnzhang.net/teaching/ee448/slides/11-computational-ads.pdf
If a bidder bids higher than his true value, then...
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.
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程！从开始到结束不到一个小时，包括如何在Go中构建API的完整演示。没有多余的内容，只有你需要知道的知识。
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.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
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.
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.
StarRocks+
https://docs.starrocks.io/docs/quick_start/
These Quick Start guides will help you get going with a small StarRocks environment.
https://itnext.io/introduction-to-starrocks-a-new-modern-analytical-database-1db2177d26e1
Recently, I had the opportunity to explore StarRocks which is the new kid in the block when talking about massive scale databases which are able to handle petabytes of data.
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.
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
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。
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
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.
ETL+
https://www.ibm.com/think/topics/etl
ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data warehouse, data lake or other target system.
https://www.youtube.com/watch?v=OW5OgsLpDCQ
It explains what ETL is and what it can do for you to improve your data analysis and productivity.
OLAP+
https://www.youtube.com/watch?v=iw-5kFzIdgY
OLAP (for online analytical processing) is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or some other unified, centralized data store.
相关职位
实习后端开发
【团队介绍】 我们是支持小红书电商、广告和本地生活业务的架构组，专注于领先业务半步的技术能力突破，在这里你讲参与： * 参与高可用分布式系统的设计与实践，了解从需求到落地的完整流程 * 学习如何在大流量、高并发环境下保证系统稳定性与性能优化 * 与资深架构师、后端工程师紧密协作，快速提升技术视野与实战能力 * 接触电商、广告、本地生活 等多元业务，探索多种业务形态下的架构方案 如果你对后端架构、分布式系统或云原生有浓厚兴趣，愿意动手解决真实业务中的技术难题；如果你渴望在国内领先互联网平台中坦诚学习、快速成长——欢迎加入我们，一起打磨技术、挑战自我，共同助力小红书商业化技术持续升级！ 【你将负责】 1、整理与分类安全相关工单，跟踪处理进度，定期汇报治理状态；配合安全团队复盘已处理工单，总结常见问题与最佳实践 2、监控报警规则的梳理与优化，确认告警分级、误报率和漏报率 3、定期对线上告警进行回顾，协助调整阈值和通知策略，提升告警质量 4、存储与服务超时配置合理性评估，对各项存储系统（如MySQL、Redis等）及线上服务的超时参数进行收集和对比，指出优化方向 5、更新服务、存储、中间件等系统的元数据信息，为架构决策提供可靠数据支撑
社招A205845
1、指导团队内技术工作，规划下一代广告引擎架构技术，引领广告系统架构理念的变革升级； 2、负责抖音集团广告算法服务（召回/粗排/精排/混排/创意与样式优选）的架构设计与实现，支撑亿级广告候选排序，优化模型分发速度，提升在线推理性能； 3、负责建设抖音集团广告算法服务的深度学习能力（深度模型实时训练/深度模型在线推理/深度模型召回），探索业界前沿算法的工程落地并助力业务可持续增长； 4、设计并实现高性能、高可用的排序策略框架，承载高吞吐、低延迟的广告系统架构需求； 5、设计并实现广告投放系统的延迟、降级、限流、算力分配的自动化、一体化平台与架构，提升广告系统的变现效率与稳定性。
更新于 2025-01-08
社招4年以上A63906A
1、公司重要营收业务，旨在打造字节跳动特色的商业化生态，进行广告平台、投放、算法，API/Web平台/后端服务等测试； 2、负责商业化平台质量保障整体的建设，参与大型项目需求、技术评审，根据需求设计、评审、执行测试用例，把控项目质量；带领组内同学做好业务支撑的同时，升级测试技术和体系； 3、分析业务系统质量问题，制定质量保障方案，并落地实施； 4、提升组内的质量、效率，在稳定性、研发和测试效率等方向建设； 5、新技术研究和应用，并推动适合的技术应用于生产。
更新于 2025-06-11
社招3年以上技术类
1.负责百亿级流量&千万级物料的广告检索引擎系统的研发工作，保障服务的高可用、高性能； 2.负责设计和实现易用&高效的广告检索架构，支撑算法&产品在多团队、多业务、多策略、多模型场景的高效迭代； 3.负责系统C++基础设施建设，提升系统开发效率；
更新于 2025-04-07