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Direct message the job poster from Virtusa.

Location: Barcelona, Spain. Contract role.

Hybrid 3 days a week from office.

Job summary
We are seeking a hands‑on AI Platform Engineer to design, build, and operate Databricks‑based data and AI platforms on AWS. You will enhance AI capabilities by leveraging Databricks (Workspace, Unity Catalog, Lakehouse, MLflow), modern cloud services, and DevOps/MLOps practices to deliver reliable, secure, and scalable platforms.

About the role
As an AI Platform Engineer, you will invent and industrialize how the Project team uses Databricks, machine learning, and data. You will build, deploy, and evolve next‑generation platform capabilities at scale, partnering with data scientists, ML engineers, and platform teams to deliver a best‑in‑class developer experience on the Lakehouse.

What candidate is needed

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- Proficient in cloud operations on AWS, with strong understanding of scaling infrastructure and optimizing cost/performance.
- Proven hands‑on experience with Databricks on AWS: workspace administration, cluster and pool management, job orchestration (Jobs/Workflows), repos, secrets, and integrations.
- Strong experience with Databricks Unity Catalog: metastore setup, catalogs/schemas, data lineage, access control (ACLs, grants), attribute‑based access control, and data governance.
- Expertise in Infrastructure as Code for Databricks and AWS using Terraform (databricks and aws providers) and/or AWS CloudFormation; experience with Databricks asset bundles or CLI is a plus.
- Experience implementing CI/CD and GitOps for notebooks, jobs, and ML assets using GitHub and GitHub Actions (or GitLab/Jenkins), including automated testing and promotion across workspaces.
- Ability to structure reusable libraries, package and version

📌 AI platform Engineer (Barcelona)
🏢 Virtusa
📍 Barcelona