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. 

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.

• 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles. (Required)
• Solid hands-on experience with AWS operating services in production with availability expectations, including cost optimization and security best practices. (Required)
• Hands-on experience with containerization (Docker, Kubernetes) and orchestration of microservices. (Required)
• Solid experience implementing CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or similar. (Required)
• Experience designing infrastructure architecture, not only deploying it. (Preferred)
• Experience with GCP. (Preferred)
• Experience supporting GenAI/ML workloads, or familiarity with services such as Amazon Bedrock or SageMaker. (Preferred)

• BSc or MSc in Computer Science, Engineering, or a related technical field. (Required)
• MSc or postgraduate degree in a technical field. (Preferred)
• Relevant certifications in cloud platforms, Kubernetes or DevOps practices (e.g., AWS DevOps Engineer, AWS Solutions Architect, CKA, CKAD, CKS). (Preferred)

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

• Strong scripting and automation skills (e.g., Python, Bash, Go). (Required)
• Strong experience with Infrastructure as Code (CloudFormation, Terraform or CDK). (Required)
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, Grafana, ELK Stack, Dynatrace). (Required)
• Knowledge of security and compliance in cloud-based systems. (Required)

• 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.

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