Description

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)

- Robust 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

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