OPPODevOps工程师
社招全职1-7年SOFTWARE地点：深圳状态：招聘
任职要求
1. 喜欢探索，熟悉各类 AI 工具（编程、文档、多媒体助手等），拥有较强的学习适应能力； 2. 计算机及相关专业本科以上学历，4 年以上后端、1 年以上 AIGC 工具/后台服务开发经验； 3. 熟悉 LangChain、LangGraph、Dify 等 AI 工具的使用，有生产智能体维护经验； 4. 熟练掌握 Python，有 Celery、FastAPI 项目经验，了解 JavaScript、TypeScript，有一定前端项目经验； 5. 熟悉 Linux 下的开发工作，数据、网络等计算机基础扎实，具备常见异常定位及问题分析能力； 6. 熟悉 Redis、Kafka、Elasticsearch 等常见中间件的使用，对其工作原理有一定理解。
工作职责
AI智能体 AIGC方向 1. 负责 AIGC/LLM 在研发 DevOps 领域各场景的工程化、平台化落地工作； 2. 对现有系统的方案设计、性能瓶颈进行优化改进, 承担关键技术攻关； 3. 持续关注前沿技术，针对新的业务场景和挑战，能引入新的技术方案并落地实施。
包括英文材料
学历+
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
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.
Celery+
https://docs.celeryq.dev/en/stable/getting-started/first-steps-with-celery.html
Celery is a task queue with batteries included.
https://lip17.medium.com/hands-on-learn-python-celery-in-30-minutes-9544aabb70b1
As someone totally new to Celery (and Python), I spent several days on it and here I want to share what I learned with hands on experiment in the shortest length.
https://realpython.com/videos/python-celery-basics/
Creating Asynchronous Tasks With Celery and Django
https://www.youtube.com/watch?v=VRHVEporra0
Learn how to use Celery in Python to run background tasks.
FastAPI+
https://fastapi.tiangolo.com/tutorial/
This tutorial shows you how to use FastAPI with most of its features, step by step.
https://realpython.com/get-started-with-fastapi/
FastAPI is a web framework for building APIs with Python.
https://www.youtube.com/watch?v=rvFsGRvj9jo
This video today is a crash course, where we will go through the basics of FastAPI.
JavaScript+
https://developer.mozilla.org/zh-CN/docs/Learn_web_development/Core/Scripting
[英文] Learn JavaScript
https://learnjavascript.online/
The easiest way to learn & practice modern JavaScript
[英文] Learn JavaScript
https://web.dev/learn/javascript
https://www.youtube.com/watch?v=zuKbR4Q428o
Write bulletproof JavaScript code with unit testing!
TypeScript+
https://www.youtube.com/watch?v=JHEB7RhJG1Y
Master TypeScript from basics to advanced concepts through hands-on tutorials covering type annotations, generics, data fetching, Zod library, and more, with practical challenges for effective real-world application.
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
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.
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.
中间件+
https://www.youtube.com/watch?v=1oWPUpMheGk
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
相关职位
校招平头哥秋季202
我们正在寻找充满激情、具备技术前瞻性的应届毕业生，加入我们致力于构建智能化研发基础设施的团队。作为AI赋能的DevOps开发工程师，你将参与下一代智能化CI/CD平台与自动化运维系统的开发与优化，融合人工智能技术，推动软件研发流程的自动化、可观测性与自愈能力全面提升。 你将参与： 1. 构建智能CI/CD流水线：与研发团队紧密协作，设计并开发高可用、可扩展的持续集成与持续交付平台；探索将机器学习应用于构建失败预测、测试用例智能推荐、资源调度优化等场景，提升研发效率与交付质量。 2. 开发智能化自动化运维工具：使用Python、Go等语言开发自动化脚本与工具，实现基础设施即代码（IaC）；结合AI技术，探索日志异常检测、自动化根因分析等AIOps能力，实现系统运维的智能决策与响应。 3. 打造智能监控与自愈系统：参与构建覆盖全链路的监控体系，集成Prometheus、Grafana、ELK等技术栈；引入时序预测模型与异常检测算法（如LSTM、Isolation Forest等），实现性能瓶颈预警、故障自动诊断与部分场景的自愈响应。 4. 推动DevOps与MLOps融合实践：参与机器学习模型的训练流水线（ML Pipeline）与模型部署（Model Serving）基础设施建设，探索模型版本管理、A/B测试、监控与回滚机制，助力AI能力高效落地。
更新于 2025-08-04
社招5年以上业务运维
1、应用 AI 工具进行团队协作，支持产品研发、部署与落地。 2、负责系统的持续集成（CI）与持续交付（CD）流程搭建与优化，持续提升交付效率和系统稳定性。 3、设计、实施并维护自动化运维体系，支持多云或混合云环境下的容器化部署（Docker/K8s），保障业务高可用与弹性扩展。 4、监控和提升系统的安全、性能与可观测性，响应并解决生产环境中的突发问题和故障。 5、持续探索并验证行业前沿的 DevOps 与 AI Ops 方案，推动最佳实践在团队落地。 6、主动与开发、产品、运营等多团队沟通，保障“需求-开发-上线-运维”全流程的顺畅衔接。
更新于 2025-10-17
校招
1. 协助搭建和维护硬件相关代码的自动化部署流程，基于 Jenkins 配置和管理 job，提升代码发布效率； 2. 参与硬件研发相关服务器、云资源的日常管理和简单配置； 3. 学习使用监控工具，配合团队及时发现和解决硬件研发流程中的系统问题； 4. 与硬件开发、测试团队协作，优化研发流程，保障硬件相关项目顺利推进。
更新于 2025-07-18
校招
1、协助构建、部署和维护CI/CD流水线。 2、参与自动化脚本和工具的开发，以提高开发和运维效率。 3、协助监控和优化系统性能，确保系统稳定运行。 4、度量体系可视化开发。 5、协助排查和解决开发和集成环境中的各种问题。 6、编写和维护相关文档，确保团队知识共享
更新于 2025-07-18