Wonkun Kim
Software Development Engineer II at Amazon Web Services (AWS)
Franklin, Tennessee, United States
Summary
🤩
Rockstar🎓
Top SchoolWonkun Kim is an experienced embedded and cloud software engineer with over a decade building firmware, edge gateways, and cloud backends for industrial and consumer products. He has led embedded development on STM32-based Modbus/CAN gateways and VxWorks motor-control head units while also architecting cloud-connected IoT services using Azure, Apigee, Kinvey and Google Cloud. At Schneider Electric he bridged device and cloud worlds—shipping real-time analytics, REST APIs, and microservices—and now brings that same customer-focused engineering to AWS Professional Services. He contributes to open-source tooling and has added CloudStack support and hardening tests to the high-profile eks-anywhere project, showing a mix of backend and DevOps capability. Based in Franklin, TN, he pairs low-level firmware expertise with modern cloud-native practices and a track record of driving products from spec and design through unit and integration testing.
11 years of coding experience
21 years of employment as a software developer
B.S, Computer Science and Engineering, B.S, Computer Science and Engineering at Pohang University of Science and Technology
Korean, English
Stackoverflow
31reputation
2kreached
1answer
0questions
Github Skills (17)
kubernetes10
apache-cloudstack10
go10
kubernetes-pods10
testing9
amazon-eks9
iks9
cloud-infrastructure9
k9
k8s9
infrastructure9
docker8
dockers8
bare-metal7
firebase6
Programming languages (12)
Github contributions (5)
aws/eks-anywhere
Mar 2022 - Dec 2022
Run Amazon EKS on your own infrastructure 🚀
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:120 reviews, 24 commits, 63 PRs in 8 months
Contributions summary:Wonkun's contributions primarily focus on enhancing the CloudStack provider within the EKS-Anywhere project. They implemented features to support CloudStack, including configuration options like optional SSL verification, configurable timeouts, and dynamic affinity settings. Furthermore, the user added unit tests to improve code quality and maintainability. Their work involved modifications to both Go code, config files, and testing infrastructure, indicating a combination of backend and DevOps responsibilities.
kubernetes-deploymentamazon-ekstinkerbellhelmamazon
kubernetes-sigs/cluster-api-provider-cloudstack
Nov 2021 - Oct 2022
A Kubernetes Cluster API Provider implementation for Apache CloudStack.
Contributions:85 reviews, 252 commits, 65 PRs in 11 months
apiapache-cloudstackproviderprovider-apicluster-api
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