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Zribi ZahraZZ

Zribi Zahra

Backend Python Engineer | APIs, FastAPI, Docker

€500/day
Paris, FR
3-7 years

Average response time: 1 hour

About Zribi

Backend Python Engineer (6+ years) specializing in scalable APIs, backend systems, and cloud-native applications.

I help companies design, build, and deploy reliable backend services using Python, with strong experience in distributed systems, automation, and containerized environments (Docker/Kubernetes).

My core focus is:

Backend API development (FastAPI / REST services)
System scalability and performance optimization
Data processing pipelines (Kafka, event-driven systems)
Cloud-native deployments (Docker, Kubernetes, Helm)

I have worked in large-scale environments at Ericsson, where I contributed to backend systems for automation, monitoring, and data-driven applications in distributed infrastructures.

I am currently available for short or medium-term freelance missions, and can join quickly.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

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

Experience

  • Ericsson
    Software Engineer
    TELECOMMUNICATIONS
    December 2020 - Today (5 years and 6 months)
    Paris, France
    Worked on cloud-native backend applications, automation systems, and distributed platforms in large-scale environments.

    • Forecasting & Data Processing Platform (Python, Kafka, Kubernetes)
    Developed scalable backend services in Python for forecasting and data processing workflows
    Built Kafka-based pipelines to process high-volume event and metrics data
    Designed REST APIs and contributed to distributed system architecture
    Deployed and managed applications using Docker, Kubernetes, and Helm

    Tech: Python, Kafka, REST APIs, Docker, Kubernetes, Helm, PostgreSQL
    • Monitoring & Diagnostics Platform (Python)
    Developed monitoring and diagnostic modules for large-scale distributed systems
    Integrated Prometheus and Grafana for observability, metrics collection, and alerting
    Automated testing and validation workflows to improve delivery processes

    Tech: Python, Prometheus, Grafana, Docker, CI/CD
    • Configuration Automation Platform (Java, Spring Boot)
    Developed backend services to automate complex configuration and deployment workflows
    Built REST APIs used by internal automation and management tools
    Improved reliability, maintainability, and efficiency of backend processes

    Tech: Java, Spring Boot, REST APIs, PostgreSQL
    Python Docker Kubernetes FastAPI flask
  • Iovison
    Ingénieure développement full-Stack
    E-COMMERCE
    January 2020 - September 2020 (8 months)
    Tunis, Tunisia
    Worked on the development of an e-commerce administration and security management platform.

    Designed and built RESTful APIs for both admin and customer-facing applications
    Contributed to backend logic and data management for marketplace features
    Developed the admin interface (front-end) for managing products, users, and operations
    Implemented authentication, permissions, and access control for secure API usage

    Tech: Java/JavaScript, Spring, REST APIs, Frontend (Angular), Authentication & Authorization, PostgreSQL
    Java Spring boot Jenkins/Sonar PostgreSQL Angular
  • Lifeye
    Stagiaire ingénieur en IA
    BIOTECH
    June 2019 - September 2019 (3 months)
    Tunis, Tunisia
    Worked on a computer vision project to classify animal behavior from video data, helping improve livestock monitoring and productivity.

    Researched and evaluated different action recognition approaches for video analysis
    Prepared and processed datasets (labeling, preprocessing, feature extraction)
    Implemented deep learning models including C3D, Two-Stream Networks, and Dynamic Images
    Improved model performance through experimentation and optimization
    Achieved up to 82% accuracy using the dynamic image approach

    Tech: Python, Deep Learning, Computer Vision, Data Processing
    Python Tensor Deep Learning Data analysis

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Education

  • Diplôme national d'ingénieure en Télécommunications
    Supcom
    2020
    *Filière: Applications d’informations multimodales. Parcours: Dévelopement web/mobile,Deep Learning, Machine Learning, Internet of Things, Computer Vision,Analyse et conception UML,Traitement du signal, Gestion des projets.

Skill set

Categories