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? We're 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. You'll 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