Aspiring Backend Engineer - Python/Django & AWS (Intern)

John Paul; Paris; Hybride; EUR 12 000 - 19 000; Temps partiel

Résumé du poste

John Paul is seeking motivated interns or work-study students to join our backend development team in Paris. You will contribute to Python/Django backend services, learn AWS Lambda (via AWS SAM), and engage in CI/CD, monitoring, and observability tasks under mentor guidance.

You will progressively explore containerized infra (Docker, Kubernetes), and participate in code reviews and team discussions to grow technically in a supportive environment.

Qualifications

• Master’s student in CS/Software Engineering or equivalent engineering school.
• Ability to code, ideally with knowledge of Python.
• Proficiency in SQL and/or NoSQL databases (PostgreSQL, OpenSearch).
• Solid understanding of web/API concepts (HTTP requests, REST, security, etc.).
• Keen interest in cloud environments, particularly AWS.
• Be meticulous, inquisitive and eager to learn.
• Strong team spirit and good communication skills.

Responsabilités

• Participate to develop and maintain backend applications in Python/Django under the supervision of senior developers.
• Participate in the development and deployment of AWS Lambda serverless functions (via AWS SAM).
• Familiarize yourself with associated AWS services (API Gateway, CloudWatch).
• Contribute to CI/CD pipelines (GitLab CI/CD).
• Contribute to monitoring and observability (Loki, Prometheus, Grafana).
• Progressively discover containerized infrastructure topics (Docker, Kubernetes).
• Actively participate in team life (code reviews, progress syncs, technical documentation).

Connaissances

Python

SQL/NoSQL

REST API

Cloud AWS

Team player

English communication

Formation

Masters student in CS/Software Eng

Outils

Docker

Kubernetes

GitLab CI

Description du poste

John Paul is seeking motivated interns or work-study students to join our backend development team in Paris. You will contribute to Python/Django backend services, learn AWS Lambda (via AWS SAM), and engage in CI/CD, monitoring, and observability tasks under mentor guidance.

You will progressively explore containerized infra (Docker, Kubernetes), and participate in code reviews and team discussions to grow technically in a supportive environment.