
Mahdi Megdiche
Cloud & DevOps Engineer | Kubernetes
Salary / Daily rate
Paris, France
Freelance, open to permanent contract
Can come onsite
Skills
Languages
About me
Intro
Cloud & DevOps Engineer with 4+ years building secure, scalable infrastructure at Volkswagen Group and edge computing solutions. Expert in Kubernetes (CKS/CKA/CKAD), AWS, and Infrastructure as Code with proven success in CI/CD optimization and vulnerability management. Ready to accelerate your cloud transformation with enterprise-grade security and automation.
Work experience
Platform Engineer
Volkswagen Group
Oct 2022 - Present
4 years 1 month
๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ & ๐๐ผ๐บ๐ฝ๐น๐ถ๐ฎ๐ป๐ฐ๐ฒ Focused on building secure, scalable, and compliant cloud-native environments. Responsibilities include implementing modern access controls, protecting Kubernetes workloads, and integrating proactive vulnerability management into development pipelines, ensuring resilience and reliability. ๐๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ & ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป Managing and automating infrastructure across multiple AWS environments, leveraging Infrastructure as Code for streamlined deployments and improved consistency. Monitoring, logging, and observability embedded throughout, maintaining high availability and performance across distributed systems. ๐๐/๐๐ & ๐๐น๐ผ๐๐ฑ-๐ก๐ฎ๐๐ถ๐๐ฒ ๐๐ฒ๐น๐ถ๐๐ฒ๐ฟ๐ Driving optimization of CI/CD practices, enabling faster, safer, and more efficient software delivery. Orchestration of pipelines, adoption of GitOps, and scaling of Kubernetes workloads ensure automation, security, and performance while accelerating innovation.
R&D Cloud Engineer
Leminnov
Feb 2021 - Present
5 years 9 months
๐๐๐ญ๐ฉ-๐๐๐ฃ ๐๐๐ง๐๐ฌ๐๐ง๐ ๐ผ๐๐๐๐ก๐๐ง๐๐ฉ๐๐ค๐ฃ Driving Turing Pi 2 to deploy scalable multi-node Kubernetes clusters, streamline environment automation, and enable edge AI applications with support for RK1 and Nvidia Jetson. ๐๐๐๐ ๐พ๐ค๐ข๐ฅ๐ช๐ฉ๐๐ฃ๐ & ๐ฟ๐๐จ๐ฉ๐ง๐๐๐ช๐ฉ๐๐ ๐๐ฎ๐จ๐ฉ๐๐ข๐จ Orchestrate deployments across multiple Kubernetes distributions (EKS, RKE , K3S) Deployed and customized an open-source solution on multiple Kubernetes cluster to ensure seamless communication between sensors, embedded systems, edge devices, and cloud infrastructure. Developed a custom controller for advanced remote management, real-time monitoring, and optimized operations across distributed environments. Enhanced the flow of data and commands between embedded systems at the edge and centralized cloud services.
Machine Learning Researcher
Spark-it Group
Sep 2020 - Jan 2021
5 months
Project title : "Recognition and Extraction of data from an invoice" Recognize and extract information from an invoice deploying Machine Learning model
Education
National Engineering School of Sfax (ENIS)
Genie informatique