Magellan Partners supports companies and organizations in their digital, organizational, and technological transformation projects. Our teams intervene on diverse issues: evolution of information systems, application modernization, organizational transformation, cloud, data, cybersecurity, employee experience, and operational performance improvement. You will evolve within communities of experts and work on high-stakes transformation projects with clients from various sectors. As a Web Development & DevOps Engineer, you will sit at the crossroads of development, infrastructure and cloud teams, architects, product teams, and clients. Your role consists of designing, developing, deploying, and maintaining robust, secure, and observable web applications, while industrializing delivery and operations processes, and leveraging artificial intelligence assistants to optimize productivity and code quality.
Designing and Developing Web Applications (AI-Boosted)
Participate in the analysis of functional and technical requirements.
Design scalable, maintainable, and secure web solutions.




Develop front-end features using Angular, TypeScript, HTML, and CSS .
Develop back-end services and APIs using Node.js and/or Java / Spring Boot .
Design and manage relational databases (e.g., SQL Server) and non-relational databases (e.g., MongoDB) .
Integrate generative artificial intelligence into your daily development practices (code generation, refactoring, documentation, and task automation using tools such as Gemini CLI).
Industrializing Development and Deployments
Design, implement, and maintain CI/CD pipelines with GitLab CI/CD .
Automate build, test, deployment, and delivery processes.
Containerize applications using Docker .
Deploy and administer applications in Kubernetes environments.
Automate infrastructure management with Terraform and Ansible .
Work on GCP environments and the company's internal cloud.
Contribute to managing development, testing, staging, and production enviro

📌 Web Development (Madrid)
🏢 Magellan
📍 Madrid