Radomir Angelov — Platform Engineering Lead | Cloud Delivery (AWS, GCP, Azure) | Kubernetes, GitOps, CI/CD, SDLC

Responsible for scaling and maintaining the Sirma AI Platform across AWS, bare-metal, and STACKIT environments. Leading cloud infrastructure migration efforts and implementing scalable architectures to support platform growth. Collaborating with and guiding DevOps engineers and development teams on infrastructure decisions. Actively participating in the design of the full SDLC and infrastructure architecture. Managing containerized workloads, CI/CD pipelines, and infrastructure as code. Presenting infrastructure strategy to clients and partners at principal level. Focused on ensuring high availability, optimizing cloud costs, and applying DevOps best practices for AI/ML workloads.

DevOps consultant for a leading tech company. Designed DevOps process architecture with CI/CD pipelines, Kubernetes deployments, and Terraform provisioning. Contributed to internal open-source product adoption.

Delivered enterprise-grade CI/CD and infrastructure for banking clients, improving deployment reliability and reducing release cycles. Managed Kong API Gateway and orchestrated containerized applications using Kubernetes on GCP. Infrastructure as code through Terraform, CI/CD pipelines using GitLab. Primary focus on GKE management, cloud architecture, networking, and deployment best practices. Worked on enterprise CI/CD project in the banking sector with ArgoCD for GitOps-based deployments.

Ensured reliable global delivery of the IoT Cumulocity platform across multi-cloud and bare-metal environments. Provisioned and maintained software and infrastructure for the IoT Cumulocity product. Work spanned various hyper-scalers and bare-metal environments with focus on GCP. Deployed and upgraded software using modern automation tools. Fine-tuned system monitoring architecture using ELK Stack and Grafana Stack. Managed cloud environments with focus on scalability, security, and cost optimization.