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、SQL等脚本语言，能够熟练使用Linux环境； 5. 熟练掌握常见的数据结构、基础算法及复杂度分析，了解搜索或推荐系统架构者优先； 6、有推荐系统、搜索系统相关经验者优先； 7. 了解AI，掌握AI的Prompt调优，对大模型应用有一定的经验优先； 8. 具备较强的问题分析与解决能力，良好的团队合作意识。 加分项： - 有推荐系统、搜索系统相关经验者优先； - 有高并发（QPS 1万+）项目经验 - 对AI和大模型应用有实际项目经验者优先。
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.
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.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Bash+
[英文] The Bash Guide
https://guide.bash.academy/
A quality-driven guide through the shell's many features.
https://www.youtube.com/watch?v=tK9Oc6AEnR4
Understanding how to use bash scripting will enhance your productivity by automating tasks, streamlining processes, and making your workflow more efficient.
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL？简单地说，SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
脚本+
[英文] Scripting language
https://en.wikipedia.org/wiki/Scripting_language
https://zhuanlan.zhihu.com/p/571097954
一个脚本通常是解释执行而非编译。脚本语言通常都有简单、易学、易用的特性，目的就是希望能让程序员快速完成程序的编写工作。
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
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/
推荐系统+
[英文] Recommender Systems
https://www.d2l.ai/chapter_recommender-systems/index.html
Recommender systems are widely employed in industry and are ubiquitous in our daily lives.
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
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
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
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
社招JDRXL
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更新于 2022-04-07
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