Experteer Overview Haga clic en "Solicitar" a continuación para enviar su candidatura. Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto. In this role, you will design and build AI-driven solutions to accelerate software delivery and automate engineering processes. You will work within the CDAIO AI Tech team in Madrid to shape architectures, implement AI-enabled SDLC improvements, and integrate AI capabilities into enterprise workflows. You’ll tackle scalable, secure cloud architectures and lead innovation in AI-enabled software engineering. This position offers the chance to impact one of the world’s largest banks through cutting-edge technology.Compensaciones / Ventajas• Design and develop deterministic agents and intelligent automation systems for software engineering use cases• Implement AI-powered solutions to automate SDLC activities (code generation/review, automated testing, documentation, CI/CD, observability)• Design scalable, resilient, and secure cloud architectures• Contribute to architecture decisions and technical standards• Develop modern backend and frontend applications• Integrate AI/LLM capabilities into enterprise platforms and workflows• Define and promote best practices in software engineering, security, observability,



and automation• Collaborate with multidisciplinary teams across engineering, infrastructure, architecture, and business domains• Lead innovation initiatives related to AI-enabled software engineering• Evaluate emerging AI technologies, frameworks, and toolingResponsabilidades• 5+ years in DevOps, Site Reliability Engineering, or Platform Engineering• Experience across software architecture, backend/frontend development, testing, deployment, DevOps, operations• Hands-on with deterministic agents, automated workflows, AI-based systems• Docker and Kubernetes with microservices orchestration• Cloud experience (AWS or GCP) with cost optimization and security xqbhyrx best practices• CI/CD implementation experience (Jenkins, GitHub Actions, GitLab CI, etc.)• Familiarity with ML workflows and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)• BSc in Computer Science or related field• Cloud platform certifications favored• Spanish proficiency; high level English preferred• Strong backend/frontend/API/DevOps/observability tooling skillsRequisitos principales• hybrid work model• learning through Santander Open Academy• competitive rewards• health and wellness (BeHealthy)• childcare support• Contigo employee support services

📌 AI Software Engineering Specialist (Madrid)
🏢 Grupo Santander
📍 Madrid