Job Description

• Design and implement secure cloud foundations with network, IAM, encryption, and logging architectures following enterprise governance and compliance standards (ECB, DORA)
• Design and Implement secure CI/CD, infrastructure-as-code, and policy enforcement frameworks for both foundational infrastructure and containerized GenAI deployments across Azure, GCP and AWS
• Implement cloud data services secure data pipelines, ensuring encryption, access control, and data handling best practices for GenAI workloads
• Support secure data pipelines, encryption at rest & in transit, access control, and data handling best practices for workloads
• Build secure CI/CD pipelines for infrastructure and data workflows using Terraform, GitHub Actions, Azure DevOps, or similar tools.
• Enforce policy-as-code and automated compliance checks for cloud and Databricks resources.
• Integrate Databricks workflows into enterprise DevOps pipelines for GenAI model deployment.

Mandatory Competencies

Data Science and Machine Learning - Data Science and Machine Learning - Gen AI

Cloud - AWS - Amazon IAM, AWS Secrets Manager, AWS KMS, AWS Cognito

Development Tools and Management - Development Tools and Management - CI/CD

Cloud - GCP - Cloud Functions

DevOps/Configuration Mgmt - Cloud Platforms - GCP

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Terraform

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket

Cloud - Azure - Azure Devops, Azure Pipelines, Azure CLI

Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight

Beh - Communication and collaboration