DevOps Engineer - Azure & AI Applications

Design and maintain CI/CD pipelines for AI application deployments using Azure DevOps and GitHub Actions.

• Containerize and deploy Python-based AI services (FastAPI backends, LLM inference services) using Docker and Azure Container Apps.

• Manage container image lifecycle via Azure Container Registry - build, tag, scan, and promote images across dev, staging, and production environments.

• Provision and manage cloud infrastructure using Infrastructure as Code (Terraform or Azure Bicep): Container Apps, PostgreSQL Flexible Server, Blob Storage, Key Vault, and AI Search.

• Manage secrets and credentials securely using Azure Key Vault - enforce zero hardcoded credentials across all deployments.

• Set up and maintain observability stacks: Azure Monitor, Application Insights, log analytics, and alerting tailored for AI services.

• Provision and manage database services: Azure Database for PostgreSQL, Neo4j AuraDB, and Azure Blob Storage for AI workloads.

• Implement deployment strategies including blue-green deployments, rolling updates, and rollback procedures for LLM-based services.

• Optimize container performance and cost: right-sizing, autoscaling configuration, and resource governance.

• Collaborate with development teams to ensure production-readiness of AI applications before go-live.

Role Description: The DevOps Engineer must have 5-6 years of experience. As a DevOps Engineer, you must have strong Azure expertise and experience deploying AI-powered applications in production.

The ideal candidate can containerize, deploy, and monitor LLM-based services and agentic systems- managing infrastructure such as code, secrets, CI/CD pipelines, and cloud-native compute on Azure., 5-6 years of DevOps/ Cloud infrastructure experience with at least 2 years on Azure.

• Strong hands-on experience with Docker and container-based deployments on Azure Container Apps or AKS.

• Proficiency with Infrastructure as Code: Terraform or Azure Bicep.

• Experience building and maintaining CI/CD pipelines on Azure DevOps or GitHub Actions.

• Hands-on experience with core Azure services: Container Apps, Container Registry, Key Vault, Blob Storage, PostgreSQL Flexible Server, Azure Monitor, and Application Insights.

• Experience managing secrets, access policies, and RBAC in Azure environments.

• Understanding of AI / LLM application deployment patterns - model serving, API gateway, and environment-specific configuration.

• Kubernetes (AKS) experience is a strong plus.

• Bachelor’s in Computer Science, Engineering, or a related discipline.

At Mastech Digital, we solve meaningful business problems using data, AI, and modern digital technologies. Our teams work closely with global enterprises to build solutions that create real, measurable impact. We bring deep industry expertise across Utilities & Energy, Financial Services, Healthcare, Retail, and Technology. With an AI-first mindset and a collaborative culture, we empower our people to innovate, grow, and help clients move forward with confidence.