AI Software Engineer: Automate SDLC & Cloud (Hybrid Madrid)

Banco Santander SA; Madrid; Híbrido; EUR 70.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

BeHealthy wellness program

Childcare support

Gym/WellHub membership

Meal subsidy

Parking and shuttle service in Madrid

Descripción de la vacante

Banco Santander SA is seeking an AI Software Engineering Analyst in Madrid to design and implement AI-driven solutions that accelerate software delivery, improve quality, and automate engineering processes across the SDLC. The role requires deep expertise in DevOps, cloud, AI-enabled workflows, and secure software architectures, with collaboration across engineering and infrastructure teams.

You will drive innovation in AI-enabled software engineering, evaluate new AI technologies, and promote

Formación

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles.

Responsabilidades

• Design and develop deterministic agents and intelligent automation systems focused on software engineering use cases.
• Implement AI-powered solutions to automate SDLC activities, including code generation and review, automated testing, and CI/CD pipelines.
• Design scalable, resilient, and secure software architectures in cloud environments.
• Develop modern backend and frontend applications.
• Integrate AI/LLM capabilities into enterprise platforms and engineering workflows.
• Collaborate with multidisciplinary teams and lead innovation initiatives related to AI-enabled software engineering.

Conocimientos

DevOps

SRE

Platform Engineering

CI/CD

Cloud platforms

AI/ML workflows

Educación

BSc or MSc in Computer Science or Engineering

Herramientas

Docker

Kubernetes

AWS

GCP

Azure

GitHub Actions

GitLab CI

Terraform

Jenkins

REST APIs

GraphQL

Descripción del empleo

Banco Santander SA is seeking an AI Software Engineering Analyst in Madrid to design and implement AI-driven solutions that accelerate software delivery, improve quality, and automate engineering processes across the SDLC. The role requires deep expertise in DevOps, cloud, AI-enabled workflows, and secure software architectures, with collaboration across engineering and infrastructure teams.

You will drive innovation in AI-enabled software engineering, evaluate new AI technologies, and promote