Job Summary:
This role involves developing and maintaining full-stack solutions across Blazor UI, APIs, service layers, and databases, while managing Azure-based data pipelines and background jobs for marketplace and inventory sync. The candidate will integrate third-party APIs (e.g., Amazon SP-API), generate large-scale reports, optimize SQL and job performance, enhance AI agent features on Azure OpenAI, and resolve production issues. Strong coding, problem-solving, and clear communication with both technical and non-technical stakeholders are essential.
Key Responsibilities:
Build new features across Blazor UI, API controllers, service layer, and database models.
Develop and maintain background job services for marketplace and inventory data sync.
Build and optimize data pipelines on Azure; transform data across sources for integration and analysis.
Integrate with third-party APIs, eg. Amazon SP-API
Generate Excel, PDF, and CSV reports from large production datasets.
Debug and resolve production issues using Azure Application Insights and telemetry.
Optimize SQL queries and job performance across large SQL Server datasets.
Extend AI agent features built on Azure OpenAI and Semantic Kernel.
Write efficient, reusable, and scalable code, document and communicate solutions clearly to both technical and non-technical stakeholders.
Requirements:
Min 2 + years of hands-on C# / .NET development (ASP.NET Core) experience
Hands-on Blazor Server experience — required
Proficient with Entity Framework Core and SQL Server
Solid grasp of dependency injection, repository pattern, and service layer architecture
Confident reading and extending large, existing codebases
Familiarity with Microsoft Azure (App Service, Blob Storage, SignalR)
Familiarity with .NET Worker Services and Azure Pipelines
Additional requirements:
Solid grasp of dependency injection, repository pattern, and service layer architecture
Confident reading and extending large, existing codebases
Good to Have:
Experience with Telerik UI for Blazor
CI/CD exposure in Azure DevOps
Azure Application Insights — monitoring, telemetry, and production diagnostics
Prior experience with REST API integrations
Large-scale database work — bulk operations, window functions, performance tuning
Prior experience with AI agentic development — LLM tool use, agent orchestration
