Azure Cloud Application Support Engineer (L2/L3 Production Support)

Hello,

Location: Remote

Duration: 12+ months

• 5+ years of IT experience.
• Strong experience in L3 production support and cloud application support.
• Experience supporting enterprise applications hosted on Microsoft Azure platform.

• Familiarity with Angular.
• Knowledge of Azure PaaS services.

• Provide L2 production support for enterprise applications hosted on Microsoft Azure cloud platform.
• Troubleshoot application, API, integration, workflow, and database-related issues.
• Support applications built using .NET / ASP.NET Core, Azure SQL, Azure Logic Apps, SharePoint Online, OpenText platforms, and AI-enabled enterprise applications.
• Monitor and support Azure PaaS services including Azure App Services, Azure Functions, Azure Logic Apps, Azure Storage, Azure SQL, and Azure Application Insights.
• Analyze logs, alerts, API failures, and system performance issues.
• Support SharePoint document storage and permissions-related issues.
• Assist with OpenText workflow and document processing support.
• Support SaaS applications hosted on Microsoft Cloud architecture.
• Coordinate with L3, development, infrastructure, DevOps, and business teams for issue resolution.
• Create and maintain operational documentation, SOPs, KB articles, and support runbooks.
• Ensure SLA compliance and timely incident resolution.
• Participate in on-call support and major incident activities as needed.
• Support monitoring, alert management, operational health validation, and AI-assisted incident troubleshooting activities across enterprise cloud applications.
• Execute runbook-driven operational activities, deployment validation, release support, and SOP-based support processes within the production environment.
• Participate in platform reliability, operational resilience, operational automation, observability improvements, and continuous service improvement initiatives to enhance application stability and support efficiency.
• Support human-in-the-loop operational workflows by validating AI-assisted diagnostics, incident analysis, and remediation recommendations
• Should have experience with P1, P2 and P3 level incidents