AI/ML DevOps Engineer - Cloud & MLOps Lead

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

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.