Jing-wei Su
Engineering Manager at SUSE
Taipei, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolJing-wei Su is an Engineering Manager at SUSE with 10 years of experience building and operating cloud-native storage for Kubernetes, having progressed through senior and staff engineering roles on the Longhorn project. He blends hands-on back-end and DevOps expertise—improving orchestration reliability, NFS handling, and deployment checks—with leadership in production-grade storage features like backup consistency and upgrade logic. Prior to SUSE, he led deduplication, hybrid cloud gateway, and HA/FT work at QNAP, pairing systems-level storage engineering with CI/CD automation. He holds a PhD in Biomedical Electronics and Bioinformatics from National Taiwan University, bringing rigorous research discipline to practical distributed systems problems. Notably, his open-source contributions to Longhorn include robustness improvements and automation that help millions of Kubernetes volumes run more reliably.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Graduate Institute of Biomedical Electronics and Bioinformatics, Doctor of Philosophy (PhD) Graduate Institute of Biomedical Electronics and Bioinformatics at National Taiwan University
Chinese, English
Github Skills (34)
kubernetes10
github-ci10
docker10
scripting10
nfs10
storage10
bash10
distributed-systems10
dockers10
cicd10
data-storage10
file-storage10
automation10
script10
go10
Programming languages (11)
Github contributions (5)
longhorn/longhorn-manager
Oct 2021 - Jan 2023
Millions and millions of volumes orchestrated
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1733 reviews, 245 commits, 684 PRs in 1 year 3 months
Contributions summary:Jing-wei's contributions primarily involved enhancements to the Longhorn manager, focusing on improving the reliability and functionality of the storage orchestration system. Their work included implementing checksum validation during backing image creation, ensuring recurring jobs always take backups/snapshots, and applying pod anti-affinity rules to CSI sidecar containers for better workload distribution. Additionally, they refined status condition codes, added upgrade logic from v1beta1 to v1beta2.
pythonvolumesdata-protectionpersistentstorage
longhorn/longhorn-engine
Nov 2021 - Jan 2023
World's smallest storage controller
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:311 reviews, 102 commits, 184 PRs in 1 year 2 months
Contributions summary:Jing-wei's contributions primarily involved enhancing the Longhorn engine's NFS functionality, specifically addressing mounting and error handling for NFSv4. They also fixed protobuf-python version issues in the Dockerfile. Furthermore, the user made improvements to data I/O by reducing write and read calls in the request processing. They also added the tcmalloc for the amd64 platform and refined and added functionalities to volume, replica and backing image sizes.
controllerstorage
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