👤 Lei Wang
✉️ rayw.public@gmail.com
🏠 Changping, Beijing, China / Hong Kong, China
I’m a seasoned software engineer based in Beijing with over 13 years of experience in the software industry. I have a proven ability to effectively work and collaborate in remote settings. My primary focus in recent years has been on cloud operations, leveraging Linux, Docker, Kubernetes, and Python for infra-as-code. I also possess solid expertise in machine learning algorithms, with a particular emphasis on the development of recommendation systems. I am committed to continuous learning and improvement, always seeking to expand my knowledge and stay abreast of the latest trends and technologies in the field. Moreover, I have normal residency in Hong Kong, which could facilitate any potential future company events or meetings internationally.
As the software architect in the team, I built, maintained, and operated our infrastructure based on Linux, Docker, Kubernetes, and GlusterFS. This role encompassed everything from creating the cluster from scratch, designing the distributed storage (GlusterFS) and network topology, to managing databases (MongoDB, MySQL, PostgreSQL), ingress (Traefik), monitoring (Prometheus, Grafana, InfluxDB, Collectd), CI/CD workflows (GitLab), and logging systems (Elasticsearch + Kibana). I applied a software engineering approach to operations, focusing on automation and metrics-driven decision-making. As a data analyst, I analyzed large volumes of user behavior data and applied statistical methods and machine learning algorithms to build and improve our music recommendation systems. As a server-side engineer, I developed complex applications primarily using Node.js, occasionally using Go or Python based on specific project requirements. During the COVID-19 pandemic, I gained substantial full-time remote work experience, particularly when building our cloud infrastructure. In addition, I have years of part-time remote work experience.
I developed a range of web-based applications primarily using PHP, and occasionally in Go or JavaScript as required. I ensured the functionality and performance of these applications under heavy load. I built C++ network applications that ran on Linux and communicated via UDP protocol, with access rates exceeding 1 billion times per day. As the project manager, I was responsible for the technical direction, requirement assessment, progress tracking, and quality acceptance of our outsourcing projects. During my tenure at this company, I gained valuable part-time remote work experience.
Developed our web-based email application using PHP and JavaScript. Maintained and operated our Linux servers hosting our web applications.
Gathered and analyzed POS (Point-of-Sale) software requirements from our marketing team overseas, and documented them in English. I was also responsible for the quality acceptance of outgoing software from our development team.
I’m an open-source enthusiast. In the past few years, I contributed code to well-known repositories such as Node.js, Google Chromium V8, Spacemacs, JuiceFS, Stellarium, etc. I also contributed to the documentation of Kubernetes to correct or improve expressions on https://kubernetes.io. Here is my GitHub homepage: https://github.com/rayw000.
As an experienced Linux operator, I’m skilled at operating, fine-tuning, and troubleshooting Linux systems. I also have knowledge of Linux kernel programming.
I built and manage our team's infrastructure using Docker, Kubernetes, and GlusterFS, and have years of experience as the system administrator of this infrastructure.
These are the programming languages I predominantly use to tackle a variety of problems, such as data analysis, automation tasks, and system operations.
In recent years, I've mainly used Node.js to build web applications. I'm also an active contributor in the Node.js community.
I use Go for applications with high performance requirements due to its execution efficiency and handy concurrency mechanism. For performance-sensitive applications, I use C/C++ to obtain optimal performance.
I have experienced using MongoDB, MySQL, Redis, Memcache etc. in production code, knowing well about their performance tuning and troubleshooting.
ChatGPT is an indispensable partner in my daily life. I’ve learnt prompt engineering myself and wrote long prompts for ChatGPT to act as roles including SQL emulator, codebase analyzer, co-debugger, data analyzer, and even psychological therapist and more to boost my work and life up.
Native speaker
Proficient in written, intermediate in spoken
Zhejiang University is one of the top 3 universities in China mainland. Our related curriculums include Discrete Mathematics, Calculus, Linear Algebra, Basic Programming, Object-Oriented Programming, Computer Composition, Data Structure and Algorithm, Operating System Principle, Computer Network.