Overview

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 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