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Soufiane F. Cloud, DevOps and Machine Learning Platforms

My name is Soufiane F. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Linux, Python, Terraform, C, Cloud Architecture, etc.. I hold a degree in , Engineer's degree. Some of the notable projects I’ve worked on include: A monitoring stack for Kubernetes Deployment and other resources, An End to End Automated CI CD Pipeline, Building CI/CD Pipeline for Scalable Web Applications using AWS. I am based in Rabat, Morocco. I've successfully completed 3 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Cloud, DevOps and Machine Learning Platforms

    2 years

  • Linux

    1 Year

  • Python

    1 Year

  • Terraform

    1 Year

Direct hire

Potentially possible

Previous Company

IBM Morocco

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Experience Highlights

A monitoring stack for Kubernetes Deployment and other resources

Deploying a monitoring stack to observe K8s deployment using Helm.

An End to End Automated CI CD Pipeline

This project implements a CI/CD pipeline using Git, Jenkins, Docker, Ansible, and Kubernetes to automate application development and deployment. Developers commit code to Git, triggering Jenkins for continuous build. Jenkins builds a Docker image and pushes it to a registry. Kubernetes pulls the latest Docker image and deploys it. Ansible manages configuration and deployment automation. This setup ensures automated builds, containerized deployments, infrastructure as code, and scalability with Kubernetes, enabling fast and reliable software delivery.

Building CI/CD Pipeline for Scalable Web Applications using AWS

This project implements a CI/CD pipeline for scalable web applications using AWS-managed services. The pipeline ensures automated deployment and continuous delivery of code changes to Amazon EC2 instances.

Education

  • CPGE - Classes préparatoires aux grandes écoles

    in

    2019-01-01-2021-01-01

  • Institut National des Postes et Télécommunications

    Engineer's degree in Computer science

    2021-01-01-2024-01-01

Languages

  • Arabic
  • English
  • French