I'm Roy Lee (Li Hongrui in Chinese), a DevOps and Python backend engineer with experience in multiple NASDAQ-listed companies. My most recent role was at Agora (NASDAQ: API), where I worked as a Developer Productivity Engineer.
After being laid off at the end of 2024, I've been actively seeking opportunities in DevOps, Python Backend Development, and Test Automation Engineering. My career began in UI automation testing, and I've since transitioned into DevOps, focusing on improving development efficiency and infrastructure.
My early career experiences are quite repetitive, so I'll share a video of my talk at the PyCon developer conference instead of detailing them here. It provides a comprehensive overview: My PyCon Shenzhen Talk: Joining a Tencent-backed Mid-sized Company, Summarizing My First 2 Years of Work Experience, and Advice for Newcomers.
我是 李红睿 （Li Hongrui），曾任职于多家纳斯达克上市公司，担任 DevOps 和 Python 后端工程师。最近一份工作是在 声网（Agora，NASDAQ: API） 担任研发效率开发工程师。
2024 年末被裁员后，我一直在积极寻找 DevOps、Python 后端开发 和 测试开发 相关的职位。我的职业生涯从 UI 自动化测试开始，后来逐渐转向 DevOps，专注于提升研发效率和基础设施优化。
早期经历重复度很高，因此放一个我在 pycon 开发者大会中的演讲视频，里面有详细的介绍，就不在此赘述，我在pycon深圳的演讲：进腾讯投资的中厂、总结前2年工作心得和对新人的建议。
I'm currently looking for roles in DevOps, Python Backend Development, and Test Automation Engineering. If you're hiring or know of any opportunities, feel free to reach out!
我正在寻找 DevOps、Python 后端开发 和 测试开发 相关的职位。如果你有合适的职位或机会，欢迎联系我！
- Strengths: Proficient in Python, end-to-end development experience, quick learner, adaptable.
- Weaknesses: Broad but not deep technical stack; I'm actively working on deepening my expertise in key areas.
- Current Focus: AI in DevOps (AIOps), Kubernetes, and Python backend development.
- English: Fluent in business English communication (emails, meetings), though technical vocabulary needs more practice in work scenarios.
- 优点: 熟悉 Python 生态，有多段端到端开发经验，学习能力强，适应能力强，最后 OKR 都完成了。
- 缺点: 技术栈广而不深，急需一份相对稳定的业务精进技术。
- 当前重点: AI 在 DevOps 中的应用（AIOps）、Kubernetes 和 Python 后端开发。
- 英语: 日常的邮件、口语会议交流没问题，能进行商务英语沟通，但专业词汇还需要业务场景的锻炼才能更加熟练。
The tech industry is rapidly evolving, especially with the rise of AI. During my job search, I've realized that simply relying on past experiences isn't enough. In one interview with a top-tier global company, I aced the technical rounds but was challenged during the leadership interview: "Don't just talk about AI in your side projects. Show us how you can learn and integrate new technologies into our needs." This was a wake-up call for me. I've decided to embrace the AI revolution, whether it's deploying AI products or using AI to optimize traditional DevOps workflows.
I'm now focused on building a solid foundation while staying ahead of industry trends. I've even deleted my 4-year-old blog to start fresh, rediscovering the joy of learning and documenting my journey. Check out my Skill Tree to see my learning roadmap.
最近找工作时，发现很多岗位已经有了 AI 相关的需求。最近面某家国际一流公司，前面技术面都秒过了，结果领导面的时候被质疑了："我问你 AI 相关的经历，不是总听你说你用 AI 做了啥副业，我更想听你怎么快速学习我们需要的技术，怎么把它们整合到现有业务里。"
虽然缺乏业务环境导致我只能在我的副业工作流里面落实 AI ，但既然企业想要这方面的人才，那我至少也应该先自行学习，那位领导所说的“技术对每个人都是公平的”，我深以为然，并且要落实。
我现在一边打基础，一边追新趋势。连写了 4 年的博客都删了，重新开始学习打卡，感觉又找回了当初学习的那种新鲜劲儿。进度在技能树 https://gou7ma7.github.io/2025/02/05/skill-tree/index/
Feel free to reach out via LinkedIn or Bilibili. Let's collaborate and grow together!