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