HU Jun is a Senior DevOps engineer with 11 years of experience building and operating cloud-native infrastructure across gaming, analytics, and networking companies. He has led SRE and automation efforts at Ubisoft, Plotly, and TiMi Studio Group and now drives DevOps at HPE Aruba Networking, with deep hands-on expertise in Terraform, Ansible/Chef, Kubernetes/containers, and AWS/OpenStack orchestration. His background combines rigorous academic training (PhD in combinatorial optimization) with practical systems programming in Python and Go, enabling him to automate complex CI/CD, monitoring and visual-regression testing workflows. An active contributor to open-source tooling, he has improved image-based test automation in the widely used plotly.js project, reflecting a focus on efficiency and reliability at scale. Colleagues rely on him to translate research-grade algorithms into production-grade automation and resilient platform services.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science Combinatorial optimization, Doctor of Philosophy (PhD) Computer Science Combinatorial optimization at UTBM
Master of Science (MS) Logistics and Supply Chain Management, Master of Science (MS) Logistics and Supply Chain Management at Ecole des Mines de Nantes
Master of Science (MS) Logistics and Automatic, Master of Science (MS) Logistics and Automatic at Centrale Nantes
Open-source JavaScript charting library behind Plotly and Dash
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:45 commits, 11 PRs, 30 pushes in 11 months
Contributions summary:HU primarily focused on maintaining and improving the image testing infrastructure within the `plotly.js` repository. Their contributions include fixing image path issues, modifying test scripts, and adjusting test configurations related to the image server. They made changes to both the shell scripts and JavaScript test files used for pixel comparison, highlighting a focus on automated visual regression testing. Furthermore, they reverted a change and reduced the number of tests run to improve efficiency.
Contributions:14 releases, 27 pushes, 1 branch in 4 years 9 months
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