Hyeoncheol Kim
Leander,USA
Summary
Results-driven Senior Software Engineer with extensive expertise in backend development, distributed systems, and cloud-native platform engineering. Proven track record in designing and implementing reliable APIs, high-availability services, observability pipelines, and automated deployment workflows. Proficient in modern infrastructure technologies such as Kubernetes, containers, messaging systems, and CI/CD automation, demonstrating a strong ability to enhance platform stability and drive architectural improvements across diverse environments. Collaborative professional dedicated to delivering high-quality solutions while effectively supporting cross-functional teams and leveraging AI-assisted development tools like ChatGPT and GitHub Copilot to streamline design, debugging, and implementation processes.
Overview
6
6
years of professional experience
Work History
Senior Software Engineer
Advantest
01.2021 - Current
- Designed and implemented major Unified Server components including DFF, DFF-Flex, MongoDB integration, Kafka consumer pipelines, and extended Kubernetes parameter support.
- Developed core features enabling the 1:N app deployment model, improving customer app scalability and supporting high-impact POCs including Nvidia deployments.
- Built and maintained the Edge Resiliency framework, enabling fault-tolerant Edge–Unified synchronization and uninterrupted customer container deployments.
- Introduced FluentD-based log, metric, and event monitoring pipeline—providing unified observability for Edge system logs, customer containers, and results data.
- Led development of Remote Service Upgrade, automated restart policies, and Edge configuration backup/restore APIs, significantly improving operational reliability.
- Re-architected ServerAPI/ServiceAPI components with performance optimizations, bug fixes, thread-safe improvements, and integration test coverage.
- Migrated the entire Edge Server platform from Docker Compose to a Kubernetes (k3s) architecture, creating Helm charts, Traefik routes, MetalLB configuration, Redis Stack deployment, and bootstrap automation via installation scripts.
- Implemented an updated CSV file replication workflow using a Kafka-backed pub/sub model and custom File-Storage-Service, improving data integrity, syncing speed, and cross-cluster auditability.
- Enhanced CI/CD pipelines with automated tests, deployment validation, and documentation improvements for consistent releases across Unified and Edge platforms.
- Provided technical guidance across teams, resolved complex deployment issues, onboarded new members, and prepared demos for stakeholders and cross-functional groups.
Software Engineering Intern
Advantest
06.2020 - 12.2020
- Built an internal C#/WPF labeling tool integrated with AWS services (EC2, S3, SQS, Lambda) for automated model prediction workflows.
- Developed React + Flask dashboards for visualization of inference results, user management, and project workflows.
Education
B.S. - Computer Science
THE UNIVERSITY OF TEXAS AT DALLAS
Richardson, TX05.2020
Skills
- Languages: Python, Java, C#, C, JavaScript
- OS: Windows, Ubuntu, Red Hat Linux
- Technologies: Kubernetes, K3s, Helm, Traefik, Docker, FluentD, Kafka, MongoDB, Redis (ReJSON), Jenkins, Git, Terraform, Packer, HashiCorp Vault, CI/CD, OpenAPI, Taskfile
- AI Tools: ChatGPT, GitHub Copilot
- Software development
LANGUAGE
Korean, English
GITHUB
github.com/hyeoncheolkim91
linkedin.com/in/hyeoncheolkim91/
Timeline
Senior Software Engineer
Advantest
01.2021 - Current
Software Engineering Intern
Advantest
06.2020 - 12.2020
B.S. - Computer Science
THE UNIVERSITY OF TEXAS AT DALLAS