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# Fullstack

- **Company:** LOGICALIS SPAIN
- **Location:** Spain
- **Salary:** €49,000.0 - €74,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Distributed Systems, Python (Programming Language), Service Development Studio, Software Engineering, ReactJS, Large Language Models, Generative AI, Backend, Git, Apache Kafka, Restful APIs, Amazon Simple Queue Service (SQS)
- **Published:** August 14, 2026
- **Apply:** https://www.jobleads.com/es/job/e700b659bdef13148fb26880855b3b451

## About the Role

* Experiencia +3 años en desarrollo backend o fullstack, trabajando en la construcción de aplicaciones en entornos productivos.
 * Experiencia con Python en el desarrollo de servicios y APIs REST.
 * Experiencia en AWS y desarrollo de aplicaciones cloud-native, incluyendo arquitecturas serverless.
 * Conocimiento de CI/CD, Git, DevOps e infraestructura como código.
 * Conocimienyo en arquitecturas orientadas a eventos y mensajería (SQS, SNS, Kafka o similares).
 * Experiencia trabajando con IA generativa, LLMs o herramientas de IA aplicadas al desarrollo.

## Description

El equipo de Data & AI de Logicalis trabaja con clientes nacionales e internacionales, llevando a cabo importantes proyectos de ingeniería de datos, inteligencia artificial y analítica avanzada, estrategia del dato, gobierno, integración y arquitectura, abarcando todo el ciclo de vida del dato.

 * Diseñar y desarrollar aplicaciones y servicios end-to-end, incluyendo Python, APIs, Python, REACT y componentes cloud.
 * Definir y evolucionar arquitecturas cloud-native en AWS.
 * Implementar soluciones serverless y orientadas a eventos, integrando sistemas distribuidos.
 * Colaborar en el diseño técnico y buenas prácticas de ingeniería (clean code, testing, seguridad).
 * Construir, desplegar y operar aplicaciones, participando en monitorización, troubleshooting y mejora continua.
 * Integrar capacidades de IA generativa en productos y utilizar herramientas de IA para mejorar productividad y calidad


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