Summary
Isabelle Kraemer is a Senior Cloud Security Engineer based in Paris with over a decade of experience in telecom and cloud security, and three years focused on managing security at scale across AWS, GCP, and Azure. She progressed from network and mobile security roles at Orange to shaping cloud security best practices and building secure GCP platforms for data science and ML projects. Now at Datadog she applies DevSecOps principles to secure multi-cloud environments, combining hands-on Terraform, GitOps, Vault, and observability-driven incident response. A former lecturer and standardization contributor, she brings both practical operational rigor and an academic approach to emerging attack trends and detection heuristics. Her background in telecommunications engineering and additional machine learning study gives her an uncommon ability to bridge network-level threats and data-driven security controls.
4 years of coding experience
9 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at IMT Atlantique
Data Science Starter Program Machine Learning, Data Science Starter Program Machine Learning at Ecole Polytechnique Executive Education
Academical exchange Telecommunications Engineering, Academical exchange Telecommunications Engineering at Technische Universität Berlin
Classes Préparatoires aux Grandes Écoles
Certificate Machine Learning by Stanford University on Coursera, Certificate Machine Learning by Stanford University on Coursera at Stanford University
French, English, German