Azure Devops-MLOPS

Experience: 8 + years

Location : Hyderabad

Lead DevOps strategy and implement CI/CD pipelines using Azure DevOps and GitHub Actions Automate build, test, and deployment processes for API and UI applications Deploy and manage cloud-native solutions on Azure (App Services, AKS, Functions) Implement Infrastructure as Code (Bicep/Terraform) for scalable and repeatable deployments Support data pipelines, automation workflows, and AI/ML (MLOps) pipelines Ensure monitoring, logging, security, and high availability across environments Drive zero-downtime releases and continuous improvement in delivery efficiency

Roles and responsibilities

Lead and implement DevOps strategy, best practices, and governance across projects Design, build, and manage CI/CD pipelines using Azure DevOps and GitHub Actions Automate build, test, and deployment processes for APIs and UI applications Deploy and manage applications on Azure (App Services, AKS, Azure Functions) Implement and maintain Infrastructure as Code (IaC) using Bicep and Terraform Enable and support data pipelines, automation workflows, and MLOps/GenAI pipelines Collaborate with engineering, data, and AI teams to streamline deployment workflows Implement blue-green, canary, and zero-downtime deployment strategies Set up and maintain monitoring, logging, and alerting using Azure Monitor and Application Insights Ensure system reliability, scalability, and performance optimization Enforce security best practices, including RBAC, secure pipelines, and secrets management (Key Vault) Manage environment configurations and release cycles across Dev, QA, and Production Troubleshoot production issues and ensure quick resolution with minimal downtime Mentor and guide teams on DevOps practices, tools, and automation Drive continuous improvement in deployment efficiency, quality, and operational excellence