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Devops Engineer with less than a year in DevOps & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering student specializing in Dev / DevOps, with 9 months of hands-on experience across multiple internships. Proficient in designing and deploying CI/CD infrastructures, orchestrating microservices deployments with Docker and Kubernetes, and implementing robust monitoring and security systems. Skilled in a wide range of technologies including Spring Boot, React, .NET, AWS, GitLab, Jenkins, and various AI/ML tools, demonstrating a strong capability in full-stack development and cloud-native solutions.
ENSA Kénitra
Engineering cycle · Computer Science
August 1, 2023 – Present
ENSA Kénitra
Preparatory cycle
August 1, 2021 – June 30, 2023
Lycée Enassim
Baccalaureate · Mathematical Sciences A (SMA)
June 1, 2021 – May 31, 2021
IZEMX
Final-Year Project Internship
February 1, 2026 – Present
India
Ministry of Energy Transition
End-of-year Internship
July 1, 2025 – August 31, 2025
India
Moroccan Preschool Foundation
Introductory Internship
July 1, 2024 – August 31, 2024
India
MediConnect – Web Application for Medical Appointment Management
June 29, 2026 – Present
Design and develop collaboratively following Agile/Scrum methodology. Build a microservices architecture using React, Spring Boot, JWT/Security, JPA/Hibernate, PostgreSQL, Kafka Use Redis for database query result caching and background job management (e.g., mailing, notifications). Containerize services with Docker and orchestrate using Kubernetes (EKS); test endpoint with Postman. Integrate Postmark email service, and chatbot; version on GitHub.
Cloud-Native Media Conversion Platform (Microservices on AWS EKS)
June 29, 2026 – Present
Designed and deployed a microservices-based system (Auth, Converter, Notification, Gateway) using Docker, Kubernetes (EKS), and Helm charts. Implemented JWT-based auth with PostgreSQL for user management and MongoDB for media metadata. Integrated RabbitMQ for asynchronous task processing between services. Automated deployment and testing via AWS CLI and kubectl, validated API workflows with cURL.
Cultural Fit Analysis
The candidate's projects and internships demonstrate a strong alignment with modern software development and DevOps practices. The diversity of projects, from web applications to cloud-native platforms and AI-integrated systems, shows a broad interest and ability to work across different technical domains. The focus on security, monitoring, and automation aligns well with a robust engineering culture. The candidate's educational background and continuous engagement in complex technical projects suggest a driven and growth-oriented individual.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a collaborative approach (Agile/Scrum) and a focus on end-to-end system design and deployment. The integration of various tools and systems suggests strong problem-solving and analytical skills. The breadth of technologies used across projects and internships indicates adaptability and a continuous learning mindset, which are crucial for operational fit in a dynamic DevOps environment.