Data Scientist I

Job Overview

Do you enjoy building and managing the deployment systems that power enterprise-grade data science and AI applications at scale Were seeking a Cloud Deployment Engineer to join our Platform Engineering Practice and own the deployment pipelines release processes and operational stability of our cloud-first analytics platforms on Azure. Youll design deployment methods implement automation troubleshoot complex deployment failures and ensure our solutions reach production reliably securely and repeatably.

Why This Role Is Critical:This position is foundational to our ability to deliver secure scalable and reliable cloud-native solutions to our clients. The engineer in this role becomes the trusted infrastructure partner to our data science analytics and AI teams ensuring systems remain available secure and cost-effective while supporting rapid innovation cycles.

The candidate in this role will join a growth path that expands cloud infrastructure expertise:

• Design and implement deployment methods pipelines and processes for cloud-first solutions on Azure including App Services Azure Functions Container Registry and storage services
• Build and optimize CI/CD pipelines in enterprise cloud environments using Azure DevOps to automate testing building and deploying applications
• Implement Infrastructure as Code (IaC) practices using Terraform ARM templates or Bicep for repeatable version-controlled deployments
• Containerize applications using Docker and manage container deployments in Azure environments
• Troubleshoot and resolve complex failures at all stages from deployment pipelines through to running production systems including reading and diagnosing issues at the code level
• Review infrastructure-as-code and application code for deployment readiness identifying issues before they reach production
• Establish monitoring logging and alerting strategies using Azure Monitor Application Insights and Log Analytics to maintain deployment health
• Compose automation scripts to streamline deployment configuration health checks and operational tasks

Experience Needed:

Required:

• 1 years industry experience with at least 6 months hands-on Azure cloud platform work
• Demonstrated experience deploying and managing applications on Azure App Services Azure Functions or similar PaaS offerings
• Demonstrated experience building and maintaining CI/CD pipelines in enterprise environments (Azure DevOps GitHub Actions Jenkins)
• Strong proficiency in Python for deployment automation and scripting
• Hands-on experience with Docker containerization and container deployment in cloud environments
• Infrastructure as Code proficiency with at least one tool (Terraform ARM templates or Bicep)
• Experience with application monitoring platforms (Azure Monitor Application Insights Log Analytics)
• Strong troubleshooting methodology across the full stack - deployment pipelines running systems and application code - with the ability to diagnose and resolve complex multi-component failures

Desirable:

• Networking experience with Virtual Networks service endpoints private endpoints and DNS
• MLOps concepts and deployment patterns
• Azure Data Factory or similar ETL orchestration tools
• Familiarity with compliance frameworks (SOC 2 FedRAMP HIPAA)

Education:

• BS or Masters degree in Computer Science Software Engineering or related technical discipline