Overview
Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación.
Join Santander’s CDAIO/AI TECH as an AI Software Engineering Specialist, shaping AI-driven practices to accelerate software delivery and automate engineering workflows. You will blend software architecture, DevOps, cloud engineering, and AI to build scalable, secure systems across the development lifecycle. Collaborate across engineering, infrastructure, and business domains to set technical standards and lead innovative AI initiatives. This role offers impact at scale within a mission-driven bank focused on withstanding risk while delivering value to customers.
Compensaciones / Incentivos
hybrid working model
flexible hours
SantanderOpen Academy learning platform
competitive salary with performance bonuses
health and wellbeing programs (BeHealthy)
childcare support and family-friendly programs
Responsabilidades
Design deterministic agents and intelligent automation systems for software engineering use cases
Implement AI-powered SDLC automation (code generation/review, automated testing, documentation, quality analysis, incident management, CI/CD, observability)
Design scalable, resilient, 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




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 tooling
Requisitos principales
5+ years in DevOps, SRE, or Platform Engineering (Required)
Experience across software architecture, design, backend/frontend, systems integration, testing, deployment, operations
Hands-on with deterministic agents, automated workflows, AI-based systems
Containerization with Docker and Kubernetes; microservices orchestration (Required)
Cloud management (AWS or GCP) with xqbhyrx cost optimization and security practices (Required)
CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI, or similar
Familiarity with ML workflows and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI) (Preferred)
BSc in Computer Science, Engineering, or related field (Required)
Cloud certifications (AWS/Azure/GCP) (Preferred)
Spanish proficiency (Required); English (Preferred)
Strong analytical and problem-solving abilities
Strategic and architectural mindset
High level of technical autonomy
Public cloud platforms: AWS, Azure (Required)
Java/Spring Boot, Python, Node.js, .NET; React, Angular, TypeScript
REST, GraphQL, event-driven architectures (Kafka, RabbitMQ)

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