贝壳Golang工程师(搜推方向）(J66698)
社招全职5年以上用户技术中心地点：北京状态：招聘
任职要求
任职资格： 1. 计算机及相关专业本科及以上学历，5年以上后端开发经验； 2. 熟悉协程、Channel、内存管理等语言特性，精通微服务架构设计； 3. 熟悉Golang生态工具链，掌握MySQL分库分表、Redis集群及缓存穿透/雪崩解决方案，熟悉Kafka/RocketMQ消息队列，具备异步解耦、削峰填谷等场景开发经验； 4. 具备后端工程师或数据开发工程师经验，熟悉Golang或Java等编程语言，熟悉Python、Shell、SQ…
登录查看完整任职要求
微信扫码，1秒登录
工作职责
工作职责： 1. 负责贝壳C端的后端服务设计与开发，保障高并发场景下的系统稳定性； 2. 参与推荐引擎、模型预测、向量检索等基础系统、平台的设计、研发及调优工作，构建高并发推荐在线服务； 3. 深度参与数据工程开发，优化数据链路，构建离线特征，进行数据归因分析，协助推荐相关的用户画像的工程化建设； 4. 从业务中提取需求，抽象并优化现有系统，以提升效率并降低成本； 5. 关注性能、微服务、设计模式，提升用户体验； 6. 研究和应用新的算法技术，不断优化和改进现有的系统。
包括英文材料
学历+
后端开发+
https://www.youtube.com/watch?v=tN6oJu2DqCM&list=PLWKjhJtqVAbn21gs5UnLhCQ82f923WCgM
Learn what technologies you should learn first to become a back end web developer.
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.
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。
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.
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
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.
RocketMQ+
https://www.baeldung.com/apache-rocketmq-spring-boot
In this tutorial, we’ll create a message producer and consumer using Spring Boot and Apache RocketMQ, an open-source distributed messaging and streaming data platform.
消息队列+
https://www.youtube.com/watch?v=xErwDaOc-Gs
削峰填谷+
https://java-design-patterns.com/patterns/queue-based-load-leveling/#detailed-explanation-of-queue-based-load-leveling-pattern-with-real-world-examples
The Queue-Based Load Leveling pattern expertly manages system load balancing in Java by utilizing a queue to efficiently distribute the workload among producers and consumers, enhancing system performance and scalability.
https://learn.microsoft.com/en-us/azure/architecture/patterns/queue-based-load-leveling
Use a queue that acts as a buffer between a task and a service it invokes in order to smooth intermittent heavy loads that can cause the service to fail or the task to time out.
还有更多 •••
相关职位
社招D10991
1、面向AI应用场景设计开发业界领先的AI平台，包括prompt工程，RAG工程、模型微调、推理加速等能力； 2、负责大模型场景下多领域的数据工程，包含知识库数据的高质量处理，Prompt提示词的优化，模型微调数据集的质量提升； 3、负责大模型场景下模型推理框架的性能优化方案的设计与实现； 4、设计训练和优化大模型，跟踪和研发代码大模型的预训练、持续训练、SFT、RLHF等技术； 5、设计与实现AI智能体应用的编排定义，提升企业应用的智能度。
更新于 2025-06-12杭州
社招D10991
1、面向AI应用场景设计开发业界领先的AI平台，包括prompt工程，RAG工程、模型微调、推理加速等能力； 2、负责大模型场景下多领域的数据工程，包含知识库数据的高质量处理，Prompt提示词的优化，模型微调数据集的质量提升； 3、负责大模型场景下模型推理框架的性能优化方案的设计与实现； 4、设计训练和优化大模型，跟踪和研发代码大模型的预训练、持续训练、SFT、RLHF等技术； 5、设计与实现AI智能体应用的编排定义，提升企业应用的智能度。
更新于 2025-06-12北京
社招5年以上A79191A
团队介绍：字节跳动产品研发和工程架构端智能团队，负责端智能基建和业务算法落地。团队产品在字节跳动核心应用的推荐、广告、直播、电商、消息、社交等场景中应用。在这里，你可以深入钻研机器学习算法，通过云端协同推荐、横向联邦学习等前沿技术，结合对产品的理解和思考，优化核心应用、核心场景的商业效率；还可以探索 SLM、VLM 等新技术，开拓未来产品方向。 1、负责端智能平台服务端开发，包括架构设计、功能研发、性能优化、技术难题攻关等； 2、构建端智能特征管理和监控平台，满足云端特征的复用、淘汰，更新等需求； 3、追求极致，探索机器学习平台前沿方向，构建业内领先的端智能平台服务。
更新于 2024-06-27深圳
社招5年以上A249047
团队介绍：字节跳动产品研发和工程架构端智能团队，负责端智能基建和业务算法落地。团队产品在字节跳动核心应用的推荐、广告、直播、电商、消息、社交等场景中应用。在这里，你可以深入钻研机器学习算法，通过云端协同推荐、横向联邦学习等前沿技术，结合对产品的理解和思考，优化核心应用、核心场景的商业效率；还可以探索 SLM、VLM 等新技术，开拓未来产品方向。 1、负责端智能平台服务端开发，包括架构设计、功能研发、性能优化、技术难题攻关等； 2、构建端智能特征管理和监控平台，满足云端特征的复用、淘汰，更新等需求； 3、追求极致，探索机器学习平台前沿方向，构建业内领先的端智能平台服务。
更新于 2024-06-27北京