Desarrollador Python Backend - Arquitectura de Eventos

Capitole; Barcelona; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Capitole is seeking a Backend Developer Python to build and evolve the internal platform supporting the AI team of a leading client in the renewable energy sector. The role focuses on an event-driven system that scales with load and recovers from failures with minimal manual intervention.

You will design, implement, and maintain Python backend services, manage queues and consumers (RabbitMQ), containerize with Docker, and work closely with the platform's AI team to align backend capabilities

Formación

• Solid Python production experience with a modern web framework (FastAPI, Django or Flask).
• Experience with event-driven architectures and distributed systems using message queues (RabbitMQ, Kafka or similar).
• Ability to design robust retry and failure-recovery strategies for message processing.

Responsabilidades

• Design, build, and maintain Python backend services within an event-driven architecture.
• Design and manage queues and consumers; load balancing, retry and failure-recovery strategies.
• Containerize services with Docker and contribute to deployment infrastructure decisions.
• Collaborate with the AI platform team to integrate backend needs with AI workflows.
• Contribute to architecture: microservice integrations, dependency management, packaging.

Conocimientos

Python

FastAPI/Django/Flask

Event-driven architectures

RabbitMQ/Kafka

Docker

Microservices

Dependency management

Pip/PyPI

uv

Educación

Bachelor's degree or equivalent

Herramientas

RabbitMQ

Kafka

Descripción del empleo

Capitole is seeking a Backend Developer Python to build and evolve the internal platform supporting the AI team of a leading client in the renewable energy sector. The role focuses on an event-driven system that scales with load and recovers from failures with minimal manual intervention.

You will design, implement, and maintain Python backend services, manage queues and consumers (RabbitMQ), containerize with Docker, and work closely with the platform's AI team to align backend capabilities