Ai Software Engineering Analyst - Grupo Santander

Grupo Santander; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meal subsidy

Parking

Shuttle service Madrid

Gym/WellHub membership

Descripción de la vacante

Grupo Santander is building a world-class AI & Data team in Spain to advance automated software engineering within one of the world's leading banks. The AI Software Engineering Analyst role sits in Madrid and focuses on designing, developing, and implementing AI-driven solutions that accelerate software delivery and improve quality.

You will integrate AI/LLM capabilities into enterprise platforms, contribute to architecture decisions, and collaborate across engineering, infra, and business

Formación

• 5+ years in DevOps, SRE, or platform engineering.
• Experience with cloud environments (AWS/GCP) and cost security.
• Strong backend/frontend tech stack knowledge.

Responsabilidades

• Design, develop, and implement AI-driven solutions to accelerate software delivery.
• Build deterministic agents and AI-driven automation across SDLC.
• Define best practices for security, observability, and automation.
• Collaborate across engineering, infra, and business domains.

Conocimientos

Analytical skills

Automation mindset

Technical leadership

Communication

Educación

BSc or MSc in Computer Science or related field

Herramientas

Docker

Kubernetes

Terraform

GitHub Actions

CI/CD pipelines

Descripción del empleo

Position Summary

AI Software Engineering Analyst - Country: Spain

IT STARTS HERE – Santander () is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer‑centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world‑class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world. We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

To succeed in this role, you will be responsible for: You will be responsible for designing, developing, and implementing AI‑driven solutions that accelerate software delivery, improve software quality, and automate engineering and operational processes across the development ecosystem. 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, technical documentation, quality analysis, incident management, CI/CD pipelines, observability and scalable, resilient, and secure software architectures in cloud environments. Contribute to architecture decisions and technical standards. Develop modern backend and frontend applications. Integrate AI/LLM capabilities into enterprise platforms and engineering 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 tooling.

Professional Experience

• 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles. (Required)
• Proven experience supporting across: software architecture, technical design, backend/frontend development, systems integration, testing, deployment, DevOps, application experience building: deterministic agents, automated workflows, AI-based systems, engineering assistants, automation experience with containerization (Docker, Kubernetes) and orchestration of microservices. (Required)
• Strong background in managing cloud environments (AWS or GCP), including cost optimization and security best practices. (Required)
• Solid experience implementing CI/CD pipelines and using tools such as Jenkins, GitHub Actions, GitLab CI, or similar
• Familiarity with machine learning workflows, model deployment patterns, and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). (Preferred)

Education

• BSc or MSc in Computer Science, Engineering, or a related technical field. (Required)
• Relevant certifications in cloud platforms or DevOps practices (e.g., AWS DevOps Engineer, Azure DevOps, Google Cloud DevOps). (Preferred)

Languages

• Spanish proficiency. (Required)
• High level of English. (Preferred)

Hard Skills

• Strong experience with public cloud platforms: AWS, Azure. (Required)
• Advanced experience with several modern software engineering technologies across backend, frontend, APIs, integration, DevOps and platform engineering, including Java/Spring Boot, Python, Node.js and .NET; React, Angular and TypeScript; REST APIs, GraphQL and event-driven architectures using Kafka or RabbitMQ; as well as Docker, Kubernetes, Terraform, CI/CD tools such as GitHub Actions, GitLab CI or Azure DevOps, and monitoring and observability platforms. (Preferred)
• Practical knowledge and hands‑on experience in AI, including LLM‑based architectures, deterministic AI agents, propt engineering, Retrieval‑Augmented Generation, agent orchestration frameworks and AI‑driven automation, with exposure to frameworkds such as LangChain, LangGraph, Semantic Kernel, AutoGen and CrewAI, as well as integration with models from OpenAI, Antrhopic, Gemini or AWS Bedrock. (Preferred)

Soft Skills

• Strong analytical and problem-solving capabilities.
• Strategic and architectural mindset.
• High level of technical autonomy.
• Automation‑first mentality and continuous improvement mindset.
• Technical leadership and mentoring skills.
• Strong communication and collaboration abilities.

WE VALUE YOUR IMPACT

• Enjoy a hybrid working models—some days remote, some days onsite with your team—along with flexible hours.
• Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: SantanderOpen Academy (www.santanderopenacademy.com)
• Competitive rewards. Receive a highly competitive salary with performance‑based bonuses, motivating you to keep growing with us.
• Financial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.
• Your health is our priority. Through BeHealthy, our global wellness programme, we promote Holistic wellbeing.
• We know family is everything. That’s why we offer childcare support and family‑friendly programmes tailored to each life stage.
• Always by your side. Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.
• Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees.

LOCAL COMPLIANCES

Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all

SummaryLocation: MadridType: Full time

AI Software Engineering Analyst - Grupo Santander madrid, es