DevOps Engineer - Azure Databricks & Azure Cloud Operations
Unisys (company site, opens in a new tab)2+ yrsBengaluruOn-siteDirect career pageEst. 8–16 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, provision, and operate a secure Azure AI Foundry ML architecture for OCR-based billing data extraction to resolve invoice processing delays.
- Build and manage end-to-end AI pipelines including ingestion, model inference, and REST API integration using Azure Container Apps and API Gateway.
- Develop and maintain CI/CD pipelines (Azure DevOps) for ML-enabled services with monitoring and observability to track production performance.
Minimum Requirements
- BE degree required.
- 2+ years of relevant experience in DevOps and Cloud Operations.
- Strong knowledge of Microsoft Azure services, including Azure Databricks (ADB).
- Experience with CI/CD tools (Azure DevOps, Jenkins, or GitHub Actions), scripting (Python, PowerShell, or Shell), and Infrastructure as Code (Terraform, ARM templates).
Ideal Candidate Profile
- Experienced in building and operating cloud-native AI/ML pipelines with hands-on Azure expertise.
- Skilled in containerization (Docker) and managing scalable microservices in cloud environments.
- Familiar with monitoring, incident management, and cloud security/governance in production systems.