DevOps Engineer - Azure Databricks & Azure Cloud Operations
Core
Design and operate secure Azure AI Foundry ML architecture for OCR-based billing data extraction, building end-to-end AI pipelines and containerized microservices to resolve revenue-impacting invoice processing delays.
Role type
DevOps Engineer (Azure Databricks & Cloud Operations)
Builds
End-to-end AI pipelines (ingestion, inference, REST API), containerized Python/FastAPI microservices, CI/CD pipelines for ML-enabled infrastructure
Domain
Cloud Infrastructure (Azure), AI/ML Operations, Billing Data Processing
Deliverable
production ML models
Required skills
Azure services, Azure Databricks, CI/CD tools (Azure DevOps, Jenkins, GitHub Actions), Python scripting, PowerShell, Shell scripting, Infrastructure as Code (Terraform, ARM templates), Containerization (Docker), Monitoring and incident management
Preferred skills
Data platforms and analytics environments, Kubernetes, Cloud security and governance
Technologies
Azure Container Apps, Azure API Gateway, Azure Container Registry, Azure Application Insights, FastAPI, Docker, Terraform, ARM templates
