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Azure Cloud Application Support Engineer (L2/L3 Production Support)
Quick overview
SeniorityMid Senior
Work modeRemote
LocationUnited States
Job description
Hello,
Title: Azure Cloud Application Support Engineer (L2/L3 Production Support)
Location: Remote
Duration: 12+ months
Job Description:
- 5+ years of IT experience.
- Strong experience in L3 production support and cloud application support.
- Experience supporting enterprise applications hosted on Microsoft Azure platform.
Desirable Skills:
- - Familiarity with Angular.
- - Knowledge of Azure PaaS services.
Responsibilities:
- 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
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