Summary
Damian Mcdonald is a Senior Global DevOps Architect with over a decade of experience designing and delivering large-scale multi-cloud and cloud-native solutions across finance, telecommunications and public sector clients. He specializes in Kubernetes-based microservices on GCP and AWS, multi-region/multi-account automation with AWS CDK/Terraform, and service mesh patterns (Istio) for traffic management and advanced release strategies. At AWS he helps global customers industrialize DevOps and MLOps practices, automate resilience and cost optimization, and unlock data-driven insights using modern ML tooling. Known for translating complex legacy estates into scalable cloud architectures, he combines hands-on implementation with stakeholder-facing consulting and strong soft skills developed in multinational teams. Based in Madrid, he pairs practical ML engineering (TensorFlow/Keras, Python data stacks) with deep infrastructure expertise—often surfacing non-obvious optimizations in autoscaling, backup/DR and tagging strategies that materially reduce cost and risk.
10 years of coding experience
23 years of employment as a software developer
Bachelor’s Degree, Economics, Bachelor’s Degree, Economics at University of Adelaide
English, Italian, Turkish, Spanish