Key Responsibilities
Provide L2/L3 application and production support for web applications and backend services running on Azure.
Monitor, troubleshoot, and resolve issues across:
ReactJS applications hosted on Azure Static Web Apps
FastAPI/Django services hosted on Azure App Service and Azure Container Apps
API integrations exposed through Azure API Management (APIM)
Investigate and resolve incidents related to application performance, API failures, authentication issues, deployment issues, and infrastructure health.
Use Azure Log Analytics and Application Insights to monitor system behavior, identify anomalies, analyze logs, and perform root cause analysis.
Support applications leveraging Azure AI Search and Azure AI Foundry components, including troubleshooting indexing, search relevance, model/service integration, and inference‐related issues.
Required Technical Skills
Application & Platform Support
Strong experience in application support/production support/site support for cloud‐hosted applications.
Good understanding of frontend support for ReactJS applications.
Experience supporting Python‐based APIs, preferably FastAPI and Django.
Knowledge of REST APIs, request/response lifecycle, API authentication, and debugging tools such as Postman.
Azure Services
Hands‐on experience with Azure Static Web Apps, Azure App Service, Azure Container Apps, Azure API Management (APIM), Azure Log Analytics, and Application Insights.
Ability to monitor application health, analyze telemetry, and troubleshoot deployment/runtime issues in Azure.
Search / AI Services
Experience supporting solutions built with Azure AI Search, Azure AI Foundry (or Azure OpenAI / AI service integrations).
Familiarity with troubleshooting search indexing, query issues, search relevance, and AI workflow/service connectivity.
Data & Caching
Working knowledge of Redis and PostgreSQL.
Ability to troubleshoot query performance, connection issues, caching behavior, and data‐related problems.
Monitoring & Troubleshooting
Strong experience in log analysis, incident triaging, root cause analysis (RCA), alert handling, performance troubleshooting.
Familiar with dashboards, telemetry, metrics, and distributed application monitoring.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field.
3–6 years of experience in application support, production support, or cloud support engineering.
Hands‐on experience supporting distributed applications in Azure cloud environments.
Strong understanding of web applications, APIs, cloud services, and modern support practices.
Excellent problem‐solving and debugging skills.
Good verbal and written communication skills.
Ability to work with cross‐functional teams in a fast‐paced environment.
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