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L2 Application Support Engineer – AI Platform (.NET & Azure) at ZEALOGICS LLC

Kochi, kerala, India -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

0.0

Posted On

21 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

.NET Core, ASP.NET Core, REST API, Microservices, Azure App Services, Container Apps, AKS, Azure AD, SSO Troubleshooting, Log Analysis, Production Incident Handling, SQL, AI/LLM Integrations, API Keys Management, IP Whitelisting, ITIL

Industry

Information Technology & Services

Description

Experience: 8+ yrs for Junior level / 12 + years for Senior level Role Overview We are hiring an experienced L2 Application Support Engineer to support a cloud-based Enterprise AI/GenAI platform built on .NET Core and Microsoft Azure. The role involves production support, troubleshooting API & authentication issues, and ensuring platform stability across environments. Key Responsibilities Handle L2 production incidents and service requests Troubleshoot .NET Core / REST API-based applications Support AI/LLM integrations and model endpoint connectivity Diagnose API failures, 403/authentication issues, and timeout/latency problems Manage API keys, IP whitelisting, and access provisioning Monitor applications using Azure Application Insights / Log Analytics Support Dev/QA/Prod environments and release validation Coordinate with L3, AI, and DevOps teams for escalations Required Skills Strong experience in .NET Core / ASP.NET Core application support Experience supporting REST APIs and microservices Azure App Services / Container Apps / AKS (basic exposure) Azure AD / SSO troubleshooting Log analysis & production incident handling SQL for troubleshooting Preferred Exposure to AI/LLM-based platforms Understanding of token-based API usage models Azure certification (AZ-900 / AZ-104) ITIL knowledge

Responsibilities

The role involves handling L2 production incidents and service requests for an Enterprise AI/GenAI platform built on .NET Core and Azure. Key tasks include troubleshooting REST API failures, authentication issues, and ensuring connectivity for AI/LLM integrations.