Devops Engineer

Santander (www.santander.com) 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.

Our mission is to contribute to helping 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. 

THE DIFFERENCE YOU MAKE

CDAIO/ AI TECH is looking for a DEVOPS ENGINEER based out of Madrid.

You will play a key role in enabling the design, development, and deployment of scalable and resilient AI solutions. Your mission will be to build and maintain the infrastructure and automation pipelines that support the entire AI lifecycle—from experimentation to production—ensuring agility, security, and operational excellence.

You will work in close collaboration with AI Experts, Data Scientists, ML Engineers, and enterprise technology partners to accelerate the delivery of AI products that drive business value across Santander. This is a critical role in the AI transformation agenda, empowering the team to deliver responsible AI at scale.

We’re shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:

• Design, implement, and manage robust CI/CD pipelines for AI/ML models and GenAI applications.

• Build and maintain cloud-native infrastructure (AWS or GCP) to support the full AI lifecycle: from data ingestion and model training to production deployment and monitoring.

• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, or CloudFormation.

• Ensure scalability, reliability, and high availability of AI services in production environments

• Implement and enforce best practices in MLOps, including model versioning, monitoring, rollback, and automated testing.

• Collaborate with data engineering and ML teams to operationalize AI models and integrate them into business-critical systems.

• Monitor system performance, debug issues, and lead root-cause analysis and resolution of incidents.

• Champion security, compliance, and governance standards across the AI tech stack.

• Contribute to the continuous improvement of DevOps capabilities and tooling within the AI Tech Team.

• Act as a technical advisor in DevOps and MLOps practices, fostering a culture of automation and engineering excellence.

WHAT YOU’LL BRING

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We’re enabling teams to go beyond by valuing who they are and empowering what they bring.

The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Professional Experience

• 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles. (Required)

• Proven experience supporting ML/AI workloads in production environments. (Required)

• Hands-on 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 scripting and automation skills (e.g., Python, Bash, Go). (Required)

• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, Grafana, ELK Stack, Dynatrace). (Required)

• Deep understanding of CI/CD and infrastructure automation principles. (Required)

• Knowledge of security and compliance in cloud-based and AI-driven systems. (Required)

• Experience with application monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack). (Preferred)

Soft Skills

• Strong problem-solving skills, a deep sense of ownership, and a proactive attitude.

• Excellent communication skills with the ability to lead technical discussions and collaborate effectively with both technical and non-technical stakeholders.

WE VALUE YOUR IMPACT

Your contribution matters, and it’s recognized. You can expect a fair, competitive reward package that reflects the impact you create and the value you deliver. But we know rewards go beyond numbers.

• We’re enable our teams to go beyond through global opportunities and broad career paths.

• Flexibility that works. 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: Santander Open 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. And that’s only the beginning—we’ll tell you more when you join!

We’re here to keep you motivated, help you reach your goals, and celebrate your progress, every step of the way.

LOCAL COMPLIANCE

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 candidates.

WHAT TO DO NEXT

If this sounds like a role you are interested in, then please apply.

READY TO TAKE THE NEXT STEP IN YOUR JOURNEY?