
Cloud - Senior Engineer
6 days ago
- 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
DevOps/Configuration Mgmt - Cloud Platforms - GCP
Development Tools and Management - Development Tools and Management - CI/CD
Cloud - GCP - Cloud Functions
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
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