Senior AI Platform Engineer - Cloud, Data & DevOps

AstraZeneca GmbH; Barcelona; Híbrido; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

AstraZeneca GmbH is seeking an Associate Principal AI Platform Engineer to drive platform capabilities from design to delivery. You will work with vendor partners (Domino, Databricks, Dataiku) and internal AI scientists to build scalable, secure infrastructure on AWS, automate deployments, and ensure governance and observability across the AI platform ecosystem.

You will mentor teams, own work packages, and collaborate across security, data governance, and data engineering.

Formación

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent professional experience).
• 5+ years of hands-on experience with AWS cloud services and platform engineering.
• Proficiency with Terraform, AWS CDK, or CloudFormation; Linux systems; IAM and security best practices.

Responsabilidades

• Design, implement, and manage cloud infrastructure on AWS using IaC tools.
• Ensure platform reliability, scalability, and high availability across environments.
• Integrate vendor platforms (Domino, Databricks, Dataiku) at scale for enterprise use.
• Build data pipelines and secure governance integrations with data warehouses.
• Automate deployment, observability, and platform operations across the ecosystem.
• Take ownership of work packages and coordinate with vendors, teams, and stakeholders.

Conocimientos

Strong troubleshooting

Excellent communication

Collaborative mindset

Ownership of work packages

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Terraform

AWS CDK

CloudFormation

Docker

Kubernetes (EKS)

GitHub Actions

Jenkins

ArgoCD

AWS CodePipeline

Databricks

Domino

Dataiku

Snowflake

Immuta

Collibra

Descripción del empleo

AstraZeneca GmbH is seeking an Associate Principal AI Platform Engineer to drive platform capabilities from design to delivery. You will work with vendor partners (Domino, Databricks, Dataiku) and internal AI scientists to build scalable, secure infrastructure on AWS, automate deployments, and ensure governance and observability across the AI platform ecosystem.

You will mentor teams, own work packages, and collaborate across security, data governance, and data engineering.