Senior Support Engineer (Azure)

8 - 13 years

2 - 6 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Roles & Responsibilities:
    • 1. Azure DevOps & Automation: Design and manage CI/CD pipelines in Azure DevOps (YAML & Classic) for application, infrastructure, and data workloads. Integrate pipelines with ACR, AKS, ADF, and App Services for seamless end-to-end deployment. Develop and maintain Infrastructure-as-Code (IaC) templates using Terraform, Bicep, or ARM. Implement environment promotion strategies (Dev ? Test ? UAT ? Prod) with approvals, branching policies, and artifact management.
    • 2. Azure Data Factory (ADF): Build, deploy, and monitor ADF pipelines for ETL and data integration across Azure SQL, Data Lake, and Synapse. Automate ADF deployments using DevOps pipelines or PowerShell/ARM templates. Manage ADF integration with Key Vault, Managed Identity, and Private Endpoints. Support version control, dependency management, and testing frameworks for ADF workflows.
    • 3. Azure Web Apps & Compute: Design and manage Azure App Services, Function Apps, and Web Apps for Containers. Automate code deployments and configuration management using DevOps release pipelines. Implement auto-scaling, slot swaps, and blue-green deployments. Manage Azure VMs, VMSS, and extensions for hybrid or legacy workloads. Ensure infrastructure resilience with Availability Sets/Zones, Load Balancers, and Recovery Services Vaults.
    • 4. Monitoring, Security, and Governance: Integrate applications and infrastructure with Azure Monitor, App Insights,Log Analytics, and Grafana dashboards. Implement role-based access control (RBAC), Managed Identities, and Key Vault secrets management.
Position Requirement
    • 8+ years of experience in DevOps roles, with strong expertise in Microsoft Azure.
    • Proficiency in Azure DevOps Services (Repos, Pipelines, Artifacts, Boards).
    • Hands-on experience with PowerShell scripting for automation and configuration.
    • Experience with Azure Data Factory, including pipeline monitoring and troubleshooting.
    • Familiarity with Infrastructure as Code (IaC) tools and principles.

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