Jonathan Midi is a cloud-native platform engineer based in Paris with nine years of experience building resilient, automated infrastructure across AWS and Azure. He specializes in Kubernetes platforms (AKS, EKS, Tanzu), GitOps workflows (ArgoCD, FluxCD), and infrastructure as code with Terraform, enabling teams through scalable CI/CD and observability foundations. Recent work includes designing a secure, large-scale data science platform on AKS with Spark, Karpenter autoscaling, and Keycloak SSO, demonstrating an ability to blend data-platform requirements with platform engineering. He has repeatedly modernized CI/CD and observability for enterprise clients, migrating workloads between clouds and standardizing alerting with Datadog, Prometheus and Grafana. Comfortable across the stack from Linux ops to Kafka and DBT, he pairs hands-on implementation with a focus on developer enablement and operational resilience. Colleagues describe him as a pragmatic problem-solver who turns complex multi-cloud constraints into reproducible, auditable platforms.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Master 1 Base de Données et Programmation, Master's degree, Master 1 Base de Données et Programmation at École Supérieure d’Infotronique d’Haïti(ESIH)
Baccalauréat Général, Baccalauréat Général at Centre Alcibiade Pommayrac
Master's degree, Ingénierie Système et Réseaux Informatiques (ISRI), Master's degree, Ingénierie Système et Réseaux Informatiques (ISRI) at Université de Picardie Jules Verne (Amiens)
Code for DevOps and Workflow Management with Argo (LFS256)
Contributions:2 pushes, 1 branch in 1 day
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