DevOps Engineer - AI; ODS

Puesto: DevOps Engineer - AI (ODS)
Dev Ops 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 Dev Ops 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, Cloud Formation, 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 Dev Ops capabilities and tooling within the AI Tech Team
* Act as a technical advisor in Dev Ops and MLOps practices, fostering a culture of automation and engineering excellence
** Required Experience**:
* 5+ years of experience in Dev Ops, 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, Git Hub Actions, Git Lab CI, or similar
* Familiarity with machine learning workflows, model deployment patterns, and MLOps tools (e.g., MLflow, Kubeflow, Sage Maker, Vertex AI)
** Education**:
* BSc or MSc in Computer Science, Engineering, or a related technical field
* Relevant certifications in cloud platforms or Dev Ops practices (e.g., AWS Dev Ops Engineer, Azure Dev Ops, Google Cloud Dev Ops) 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
*…