DevOps Engineer - Open Digital Services (ODS)

Santander USA; Madrid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading financial institution is seeking a DevOps Engineer to join its AI Tech Team in Madrid. This role involves designing and maintaining infrastructure for scalable AI solutions and collaborating with technical stakeholders to enhance AI products' deployment and operation. Candidates should have over 5 years of experience in DevOps or related fields, with strong skills in cloud environments and automation tools. This position offers a competitive salary, growth opportunities, and an inclusive work environment.

Servicios

Immediate incorporation to a dynamic company

Competitive remuneration and attractive benefits

Collaboration in international projects

Excellent work environment and social clubs

Formación

• 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles.
• Proven experience supporting ML/AI workloads in production environments.
• Hands-on experience with containerization (Docker, Kubernetes) and orchestration of microservices.

Responsabilidades

• Design, implement, and manage robust CI/CD pipelines for AI/ML models and GenAI applications.
• Build and maintain cloud-native infrastructure to support the full AI lifecycle.
• Automate infrastructure provisioning using Infrastructure as Code tools.
• Ensure scalability, reliability, and high availability of AI services in production.

Conocimientos

Scripting and automation skills (Python, Bash, Go)

Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, Datadog)

Problem-solving skills

Excellent communication skills

Educación

BSc or MSc in Computer Science, Engineering, or related field

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Jenkins

GitHub Actions

GitLab CI

MLflow

Kubeflow

SageMaker

Vertex AI

Descripción del empleo

DevOps Engineer - Open Digital Services (ODS) Country: Spain

Open Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products and implementing them in collaboration with Santander Group Affiliates.

Santander Group is one of the world's largest financial institutions and the Eurozone's leader, we’re committed to being the best Digital Bank with Branches in the industry.

Our mission at ODS is to design and support an advanced digital and omnichannel platform, ensuring the best customer experience using cutting-edge technology. Openbank, our flagship partner, is where we develop our most advanced concepts first. Be part of our Best-in-Class team and help us create unique value for our customers!

Join us to tackle exciting tech challenges in an agile environment, benefiting from learning, growth, and local and international career opportunities in a modern, diverse setting.

As a DevOps Engineer in the AI Tech Team, 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.

Key Responsibilities

• Design, implement, and manage robust CI/CD pipelines for AI/ML models and GenAI applications
• Build and maintain cloud-native infrastructure (AWS, Azure, 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, CloudFormation, or Pulumi
• 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

Required Experience

• 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles
• Proven experience supporting ML/AI workloads in production environments
• Hands-on experience with containerization (Docker, Kubernetes) and orchestration of microservices
• Strong background in managing cloud environments (AWS, Azure, or GCP), including cost optimization and security best practices
• 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)

Education

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

Skills & Competencies

• Strong scripting and automation skills (e.g., Python, Bash, Go)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Datadog)
• Deep understanding of CI/CD and infrastructure automation principles
• Knowledge of security and compliance in cloud-based and AI-driven systems
• Experience working in agile, cross-functional teams focused on rapid delivery and continuous improvement
• Ability to translate operational needs into scalable and maintainable solutions
• Strong problem-solving skills, ownership mindset, and a proactive attitude
• Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders

What do we offer

• Immediate incorporation to a dynamic and agile company with a growth and expansion project.
• Working in start-up mode with the support of Grupo Santander.
• Competitive remuneration and attractive benefits package.
• Possibility of growth within the company and the Group.
• Collaboration in international projects and possibility of contact with different countries.
• Excellent work environment, social clubs and frequent events.

Would you like to grow with us? Join our team!

Openbank/ODS is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status.
We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Bank, S.A./ Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.
For further information about your rights and data protection, please read the ODS/Openbank Privacy Policy applicable to this type of data processing here. URL