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Iheb RjebIR

Iheb Rjeb

Fullstack & DevOps Engineer

€200/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Iheb

Fullstack & DevOps Engineer with a solid background in web development, cloud, DevOps, and machine learning, I design and deploy high-performing, scalable, and innovative solutions.

I have worked on various projects:

Recommendation systems for e-commerce platforms with Symfony, Sylius, React, and Drupal, integrating AI models with RubixML and optimization via Redis.

Real-time facial recognition and object detection systems with Python, OpenCV, PyTorch, TensorFlow, and AI model fine-tuning.

DevOps orchestration and automation: Kubernetes (EKS), Docker, Helm, CI/CD with Jenkins and Bitbucket Pipelines.

Fullstack e-commerce development on SFCC and creation of dynamic and high-performing interfaces.

I am passionate about projects that combine cloud technologies, automation, and artificial intelligence, and I enjoy providing concrete solutions that improve performance and user experience.

My goal: to collaborate with innovative companies or ambitious freelance clients on challenging technical projects, while delivering high-quality work and respecting deadlines.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • DECADE
    DevOps Engineer
    E-COMMERCE
    July 2023 - Today (2 years and 11 months)
    Tunis, Tunisia
    Container Orchestration & CI/CD Optimization

    Management of container orchestration with Kubernetes (EKS), ensuring efficient deployments, automatic scaling, and high availability in production.

    Design and optimization of CI/CD pipelines with Jenkins and Bitbucket Pipelines to automate build, test, and deployment processes.

    Use of Docker to create consistent development environments and ensure smooth transitions between test and production environments.

    Management and simplification of Kubernetes deployments with Helm.

    Fullstack Development & E-Commerce Solutions

    Backend development with Symfony and Sylius for scalable e-commerce platforms.

    Creation of dynamic and user-friendly frontend interfaces with React (v13) and Drupal (v9).

    Performance optimization through caching solutions such as Redis and Varnish.

    Management of technical migrations (e.g., transition from Symfony 4.3 to 6.4 and from Drupal 9 to 10) in Docker and Jenkins environments.

    E-Commerce Platform Development (SFCC)

    Design and development of full-stack solutions on Salesforce Commerce Cloud (SFCC) for Pacific Pêche.

    Implementation of SFRA (Storefront Reference Architecture) for responsive and scalable e-commerce applications.

    Integration of Jenkins for continuous deployment and optimized management of the publication pipeline.
    Kubernetes Docker Jenkins Helm Amazon Web Services
  • DECADE
    Software Engineering Intern
    E-COMMERCE
    September 2018 - July 2020 (1 year and 10 months)
    Tunis, Tunisia
    Recommendation system for a ski equipment rental platform
    – Design and implementation of a recommendation system using Symfony (v4.3) and Sylius (v1.7) for backend development.
    – Frontend feature development with React (v13) and Drupal (v9).
    – Integration of RubixML for AI-based recommendations, as well as the use of Redis for caching to improve performance.
    Symfony PHP React.js Drupal Docker
  • SFM Technologies
    Machine Learning Intern
    TELECOMMUNICATIONS
    June 2022 - August 2022 (2 months)
    Tunis, Tunisia
    Integration of AI features for real-time facial recognition and object detection.

    Development with Python, OpenCV, PyTorch, TensorFlow, and model fine-tuning to improve accuracy and performance.

    Optimization of algorithms for efficient real-time processing.
    Python TensorFlow OpenCV intelligence artificielle Fine-tuning

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Education

  • Introduction à Jenkins
    –KodeKloud
    Introduction à Jenkins
  • Formation de base sur Terraform
    –KodeKloud
    Formation de base sur Terraform

Skill set

Categories