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Mahdi MabroukMM

Mahdi Mabrouk

DevOps Engineer | AWS | Kubernetes | Terraform

€420/day
Plaisir, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mahdi

Certified AWS and CKAD DevOps & Cloud Engineer, combining technical expertise in automation with the ability to collaborate effectively with multidisciplinary teams to design, deploy, and maintain reliable solutions. Recognized for rigor, proactivity, and the ability to quickly solve complex problems.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Plaisir (up to 50km)

Experience

  • DataScientest
    DevOps / Cloud Engineer – Sock-Shop Project on AWS
    EDUCATION AND E-LEARNING
    February 2025 - May 2025 (3 months)
    Project Description: Deploy a microservices application on AWS applying DevOps best practices.

    Tasks Performed:

    • Deployed a complete microservices application on AWS EKS with Helm, ensuring scalability and high availability.
    • Designed and automated CI/CD pipelines (Jenkins) covering build, security scans, automated tests, and deployments, improving reliability and reducing manual interventions.
    • Set up AWS infrastructure with Terraform (VPC, EKS, RDS, IAM), ensuring reproducibility and traceability of environments.
    • Developed a backup and restore strategy for PostgreSQL databases, strengthening service continuity in case of incidents.
    • Integrated monitoring and alerting solutions (Prometheus, Grafana) for real-time tracking of service performance and availability.
    • Collaborated closely with an agile team (ticket management via Jira, version control via GitHub), fostering technical communication and task coordination.
    Technical Stack: GitHub, Jenkins, Docker, Kubernetes, Helm, Terraform, AWS (EKS, RDS, S3...), Prometheus, Grafana



    Terraform AWS Jenkins Kubernetes DevOps Docker
  • Renault
    DevOps Engineer
    AUTOMOBILE
    August 2023 - September 2024 (1 year and 1 month)
    Paris, France
    Project: SDV (ADAS: Advanced Driver Assistance System)

    Project Description:
    Development and optimization of ADAS applications (ACC, AEB, RAEB) in an SDV (Software Defined Vehicle) environment, with a focus on continuous integration, automation, and workflow reliability.

    Tasks Performed:

    • Improved CI/CD pipelines (GitLab), automating builds, tests, and re-simulations, which reduced processing times and limited manual errors.
    • Developed automation scripts (Python/Matlab/Bash) to process test team MCAP logs and automatically replay scenarios in the Dev environment, significantly reducing bug diagnosis and resolution time.
    • Documented all scripts and procedures on Confluence, including usage instructions and best practices for teams to use them effectively.
    • Integrated automated regression tests and analyzed anomalies, thereby optimizing workflows and strengthening software reliability.
    • Integrated automated regression tests, analyzed anomalies, and optimized workflows to ensure software quality and reliability.
    • Strengthened version control practices by applying standardized GitLab workflows (branches, merge requests, code reviews), improving traceability and reducing conflicts.
    • Documented workflows and technical best practices to ensure traceability and facilitate knowledge transfer.
    • Coordinated with project teams via Jira to effectively track and resolve anomalies, improving inter-team communication and responsiveness.

    Technical Environment: Git, GitLab, CI/CD, Python, Matlab, Bash, Jira, MATLAB/Simulink, Linux, agile methods.
    Jira Gitlab Scripting Gitlab CI/CD Agile Method
  • CLAAS Tractor
    Software Engineer – Embedded Environments with DevOps Practices
    AUTOMOBILE
    March 2022 - July 2023 (1 year and 4 months)
    Paris, France
    Project: CSM
    Project Description: Needs analysis, design, and integration of software solutions to ensure their reliability and functional compliance.

    Tasks Performed:

    • Designed and developed software features, with test automation and deployment on test benches, reducing validation cycles.
    • Implemented continuous integration of software components and automated regression test execution, improving deliverable stability and reliability.
    • Developed scripts for automated log analysis, accelerating anomaly diagnosis and resolution.
    • Managed source code and coordinated contributions via Git/GitLab, applying best practices for code review and integration.
    • Participated in technical reviews and proposed improvements to optimize development workflows.

    Technical Environment: Git, GitLab, CI/CD, Jira, scripting (Python/Matlab), MATLAB/Simulink, Linux.
    Gitlab CI/CD C/C++ Programming Scripting Jira Agile Method

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Education

  • Industrial Electronics, Engineer
    National Engineering School of Sousse
    2018
    électronique industriel , Ingénieur
  • DevOps System Administrator
    DataScientest
    2025
    Administrateur système DevOps

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