Overview
DevOps Engineer - AI (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.
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
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 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!
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