About Rejeb
Développeur logiciel spécialisé en Python et développement back-end, avec une solide expérience dans la conception d’API robustes, de plateformes cloud et de solutions scalables orientées métier.
Habitué à travailler sur des projets end-to-end, de l’analyse des besoins jusqu’au déploiement en production.
Je maîtrise les environnements cloud (GCP / AWS), la conteneurisation avec Docker, et les architectures modernes basées sur microservices et CI/CD.
J’ai également une forte sensibilité à la qualité du code, à la performance, à la sécurité et à la maintenabilité.
Curieux, autonome et orienté résultats, j’aime transformer des problématiques complexes en solutions simples, efficaces et fiables.
À l’aise aussi bien en lead technique qu’en collaboration avec des équipes produit, data ou DevOps.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Norma SASPython DeveloperDIGITAL AND ITFebruary 2021 - Today (5 years and 5 months)Paris, France• ● Developed RESTful APIs using Spring Boot, implementing clean architecture patterns.• ● Designed and implemented new domain models with relational schemas aligned to PostgreSQL.• ● Built and deployed the application on Google Cloud Run, using containerized workflows (Docker + GitHub Actions).• ● Managed Cloud SQL (PostgreSQL) as a DBaaS: database provisioning, migrations, performance tuning, user/roles management, and secure connection configuration.• ● Integrated application-level authentication, error handling, logging, and monitoring for production readiness.• ● Collaborated in an Agile environment, participating in sprint planning, code reviews, and continuous improvement cycles.
- DevOpsPython Developer FastAPIJanuary 2025 - May 2025 (4 months)+3 month - Development of a web application: Saas application to generate bills ( factureclients.com )• ● API & Back-End Development: Implemented apis using Python and FastAPI for handling invoice, company, clients, products ....• ● Database Management: Utilized PostgreSQL for data storage and Alembic for schema migrations, ensuring scalable and maintainable data structures.• ● Containerization & Deployment: Packaged and deployed services with Docker, configured Nginx for load balancing and routing, and integrated with IONOS for hosting.Tools: Python, FASTApi, Postgresql, Alembic, google cloud storage, Pytest, Docker, Google Cloud SDK, Git, Github, Trello, Cloud Run, Github Actions, Pytest, IONOS
- DataPython Developer FastAPIAugust 2024 - January 2025 (5 months)• ● Integrated advanced LLMs (GPT, Mistral, LLaMA) and zero-shot models (GLiNER, NuExtract) for NER, metadata extraction, and document understanding, deployed on Hugging Face Inference Space.• ● Deployed and scaled services on Google Cloud Run and Cloud Functions, including GPU-accelerated inference workloads for performance-intensive tasks.• ● Used Google Cloud Storage for input| output file management and batch processing across services. Automation & Testing
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Education
- Bachelor's degree in computer science2017Bachelor's degree in computer science
- Database Engineer Learning certificationDatabase Engineer Learning certification