Jingkang Jiang
Chief Executive Officer at CloudPilot AI
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJingkang Jiang is a Seattle-based founder and CEO with a decade of experience building large-scale, cloud-native infrastructure and distributed systems. As founder of CloudPilot AI he leads development of an SRE-focused platform that has helped customers like Funplus, Klook, iHealth, and Netvue cut cloud spend by up to 80% while improving performance and resilience. His background includes hands-on roles at AWS and Alibaba, where he worked on high-scale systems and core trade platforms, and he combines technical depth with business acumen earned through an MBA from Tsinghua. An active open-source contributor, Jingkang has improved container runtimes and multi-cluster orchestration (CRI-O, Karmada) and designed core APIs for projects like kubespider, reflecting a focus on extreme elasticity and utilization. Named to The Los Angeles Post AACYF Top U35 in 2025, he’s equally driven by product impact and the engineering craft behind cost-efficient cloud operations.
9 years of coding experience
5 years of employment as a software developer
Master of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at Tsinghua UniversityBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Shandong University
English, Chinese
Github Skills (18)
kubernetes10
docker10
back-end-development10
python10
api-design10
container-runtime-interface10
dockers10
occi10
automation10
go10
kubernetes-pods10
multi-cluster10
automations10
backend10
cloud-native10
Programming languages (13)
Github contributions (5)
opennaslab/kubespider
Dec 2022 - Mar 2023
A global resource download orchestration system, build your home download center.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 releases, 86 reviews, 131 commits in 3 months
Contributions summary:Jingkang primarily focused on defining and implementing abstract APIs and core functionalities for a download orchestration system. They defined interfaces for source and download providers within the `kubespider` core. The user contributed to the structure of the project, integrating various source and download providers such as torrent and motrix. They also added support for new source providers such as Mikanani and improved chrome extensions.
downloadcenterpythonorchestrationnas
karmada-io/karmada
Sep 2022 - Jan 2023
Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:678 reviews, 30 commits, 130 PRs in 4 months
Contributions summary:Jingkang contributed to the deployment, configuration, and management of the Karmada project, as evidenced by modifications to deployment scripts, configuration files, and dependency updates. They implemented support for user-specific cluster names, indicating work on multi-cluster orchestration. Moreover, the user updated Kubernetes dependencies and performed code enhancements to improve the project's reliability and functionality, indicating back-end development skills. Furthermore, they added the features to integrate with metrics-adapter.
containerscloud-computingmulti-clusterorchestrationcloud
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