Devops Engineer

santander; Spain (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Santander is seeking a Senior DevOps Engineer to help design, build, and operate scalable AI-enabled infrastructure. You will shape the CI/CD pipelines and cloud-native platforms used by AI teams, ensuring security and reliability.

In this role you’ll influence infrastructure decisions, implement automation, and collaborate with data and ML engineers to deploy production-grade solutions across multi-environment deployments.

Qualifications

• 5+ years in DevOps, SRE, or Platform Engineering (Required).
• Hands-on AWS production experience with security and cost optimization.
• Containerization with Docker and Kubernetes in microservices.
• CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI (Required).

Responsibilities

• Design, implement, and manage CI/CD pipelines for GenAI services.
• Architect and deploy cloud-native infrastructure on AWS.
• Automate provisioning with CloudFormation, Terraform, or CDK.
• Run container workloads on Kubernetes (EKS) and manage networking.
• Ensure scalability, reliability, and high availability of AI services.
• Support on-call rotation and incident root-cause analysis.

Skills

DevOps

SRE

Platform Engineering

AWS

Docker

Kubernetes

CI/CD

GCP

Security best practices

Tools

Terraform

CloudFormation

CDK

GitHub Actions

Jenkins

GitLab CI

Job description

Devops Engineer

Country:

IT STARTS HERE

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 SENIOR DEVOPS ENGINEER. 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.

Why this role is different: you won't just deploy what others design. You will shape the infrastructure architecture behind our solutions, and you will help build and run the internal platform our engineering teams will use every day. You will have real influence on technical decisions, and you will see your work in production. 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:

• Designing, implementing, and managing robust CI/CD pipelines for GenAI applications and containerized services.
• Designing infrastructure architecture and deploying solutions built by development teams across multiple environments.
• Building and maintaining cloud-native infrastructure on AWS to support the full AI lifecycle, from development to production deployment and monitoring.
• Automating infrastructure provisioning using Infrastructure as Code (CloudFormation preferred; Terraform or CDK also valued).
• Running containerized workloads on Kubernetes (EKS) and managing the supporting networking, DNS, load balancing and perimeter security.
• Ensuring scalability, reliability, and high availability of AI services in production environments.
• Monitoring system performance, debugging issues, and leading root-cause analysis and resolution of incidents. This includes participating in a light on-call rotation.
• Collaborating with data engineering and ML teams to operationalize AI solutions and integrate them into business-critical systems.
• Championing security, compliance, and governance standards across the AI tech stack.
• Fostering a culture of automation and engineering excellence within the AI Tech Team.

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)
• 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)
• Experie