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# Back End Engineer

- **Company:** Sustainrecruit Talent
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Cloud Computing, Databases, Continuous Integration, Python (Programming Language), PostgreSQL, Machine Learning, Software Architecture, Software Engineering, Systems Integration, Large Language Models, Backend, Fastapi, Restful APIs, Terraform, Serverless Computing, Docker
- **Published:** August 4, 2026
- **Apply:** https://www.jobleads.com/es/job/eb18423a69d02695bf0f861b45dd1f17b

## About the Role

* Strong commercial experience developing backend applications with Python.
 * Experience designing APIs and distributed backend systems.
 * Knowledge of cloud platforms (AWS preferred).
 * Experience with Docker and Kubernetes.
 * Strong understanding of databases, data modelling and system integration.
 * Good knowledge of CI/CD, testing and observability.
 * Ability to make sound architectural decisions and communicate technical trade-offs.
 * FastAPI
 * Terraform
 * Amazon EKS
 * PostgreSQL or Aurora
 * Event-driven or asynchronous architectures
 * Production AI or LLM integration
 * Enterprise-scale software engineering, If you're an experienced Backend Engineer looking to build production-grade AI systems and have a genuine impact on architecture and engineering direction, I'd be keen to speak with you.

## Description

This is a hands-on engineering role where you'll design, build and operate scalable Python services, working closely with AI Engineers, Data Scientists and Platform teams to deliver secure, reliable and high-performing systems., You'll take ownership of backend services from design through to production, helping shape architecture and engineering standards while solving real-world challenges around scalability, reliability and AI integration., * Design and develop scalable backend services and REST APIs using Python.

 * Integrate AI, machine learning and Large Language Model (LLM) capabilities into production applications.
 * Build secure, resilient and observable cloud-native services.
 * Design data models, APIs and system integrations.
 * Improve testing, CI/CD pipelines, monitoring and operational excellence.
 * Collaborate with cross-functional engineering teams, architects and product stakeholders.
 * Mentor engineers and contribute to technical decision-making and best practice.


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