I am a senior infrastructure leader with more than 13 years of experience in Site Reliability Engineering, cloud-native architecture, and high-performance observability. I have spent my career building and operating mission-critical systems designed to stay reliable, scalable, and resilient under heavy demand.
I have managed infrastructure supporting more than 500,000 users while maintaining 99.9% uptime. My background includes leading the transition from legacy on-premise environments to AWS and hybrid cloud platforms, improving performance and operational efficiency across public-sector and digital transformation initiatives.
I specialize in infrastructure automation and DevOps practices, including Kubernetes, Docker, Terraform, Ansible, and CI/CD optimization. I also use Python, SQL, shell scripting, and generative AI to automate maintenance, analyze logs, and identify risks before they affect service delivery.
My work has focused on standardizing environments, improving deployment speed, and strengthening system observability through tools such as Prometheus, Grafana, and eBPF fundamentals. I enjoy solving complex infrastructure problems and creating reliable pipelines that support long-term growth.
In addition to engineering, I bring a creative technology perspective. I am proficient in Adobe Creative Suite and value collaboration between engineering and visual teams, especially in areas like virtual production and visual effects.
I am also internationally oriented, with academic experience in Seoul and language skills in English, Korean, Portuguese, and Spanish. I am motivated by roles where I can combine deep technical expertise, automation, and innovation to build robust systems and support high-impact organizations.
Academic residency in Seoul, South Korea focused on Korean language, business culture, and AI.
Post-graduate studies in software technology.
Bachelor’s degree in Information Systems.
Orchestrated the end-to-end IT lifecycle for public services serving 500k+ citizens, ensuring zero major downtime for over a decade. Spearheaded migration from legacy on-premise environments to AWS/hybrid cloud, improving data processing and retrieval performance by 40%. Standardized environment parity and reduced deployment times by 70% through Terraform and Ansible workflows. Pioneered a predictive model using generative AI to analyze system logs and identify infrastructure risks before service impact.
Modernized high-volume architectures and automated workflows, increasing processing efficiency by 30% through custom Python-based monitoring tools.
Jobicy
617 professionals pay to access exclusive and experimental features on Jobicy
Free
USD $0/month
For people just getting started
Plus
USD $8/month
Everything in Free, and: