Junior Fullstack Developer-Spanish Speaker

Company Description We’re a small, multidisciplinary team working out of the Madrid Food Innovation Hub, backed by programs like Lanzadera and recognised in competitions such as the Future Gastronomy Startup Competition and the Premio Emprendimiento Digital (Comunidad de Madrid). If you like building real products, working with AI, cloud and backend systems, and being part of an early team where your work actually ships — you’ll probably like it here.

Gambooza is looking for a Junior Full Stack & AI Developer to join our growing technology team. This is a full-time hybrid role based in Madrid, with flexibility for remote work (2 office day per week). In this role, you will contribute to the design, development, and deployment of scalable web applications and AI-powered systems. You will work across the stack, participating in the development of user-facing features, backend services, and the infrastructure required to run modern data and AI pipelines. Your responsibilities will include building and maintaining backend services and APIs, contributing to cloud-based infrastructure, and collaborating with the team to develop and integrate AI models into production systems. You will also participate in the implementation of DevOps practices, containerized environments, and CI/CD workflows to support reliable and scalable deployments. You will work closely with cross-functional teams including product, data, and AI specialists to build technology that helps reduce food waste and generate positive environmental impact.

Proficiency in Spanish, based in Madrid. Knowledge of Front-End Development, including HTML, CSS, and modern JavaScript frameworks (React, Vue, or similar). Experience or familiarity with Back-End development (Python, Node.js, or similar). Understanding of REST APIs, microservices architectures, and backend system design. Familiarity with cloud platforms such as Google Cloud Platform (GCP) or AWS. Experience or interest in containerization technologies (Docker). Basic understanding of CI/CD pipelines and DevOps practices. Interest in Artificial Intelligence and Machine Learning, including model development or integration. Familiarity with data processing pipelines and model deployment workflows is a plus. Ability to work collaboratively in a team and independently in a hybrid environment. Bachelor’s degree in Computer Science, Software Engineering, AI, or related field is preferred.