Gergely Kun

Lead a transformative cloud optimization initiative that implemented data access policies and slashed Azure infrastructure costs by 50%, delivering substantial savings while maintaining optimal performance of critical systems.

I architected and implemented a high-availability Kubernetes infrastructure, designing the overall cluster architecture and automating deployment through TalosOS and Ansible workflows. I successfully modernized legacy systems by containerizing APIs and packaging them with Helm for seamless deployment on Kubernetes clusters. Additionally, I developed a comprehensive internal platform that streamlined integration testing and enabled efficient feature environment deployment, improving development workflows and reducing time-to-production for new features.

I designed and implemented modern cloud infrastructure using Terraform, while streamlining deployment processes through ArgoCD and Azure DevOps pipelines, which also enabled proper separation between production and development environments. By developing standardized Helm charts, I ensured consistent application configurations across all environments. I significantly enhanced security by implementing identity-based authentication via Entra ID and introduced Linkerd service mesh for comprehensive service monitoring. My leadership experience includes managing a cloud administrator team for a Singaporean government agency, where I successfully addressed critical security findings. I've driven operational excellence by implementing Apache Airflow to automate data pre-processing pipelines, reducing manual effort while improving reliability. Through Prometheus and Grafana integration, I established robust monitoring solutions for Kubernetes environments, optimizing resource utilization.