
Backend .NET Developer (Azure Integrations, AI-Assisted Development)
kjohn@samrusystems.com
Westchester, IL • 58m ago • Hybrid
Senior
Hybrid
50 - 50 USD/yr
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Quick Facts
Role: Backend .NET Developer (Azure Integrations, AI-Assisted Development)
Location: Hybrid (3 days/week on-site), Westchester, IL
Duration: 6 months
Description
Design, develop, and maintain scalable, cloud-based applications using .NET/.NET Core and Azure integrations. Build RESTful APIs and microservices, implement secure authentication, and create event-driven messaging solutions leveraging Azure Integration Services (including Service Bus). Use AI-assisted development tools and prompt engineering to accelerate C#/.NET development, refactoring, debugging, unit test creation, code reviews, and documentation.
Responsibilities
Develop and maintain .NET / .NET Core / ASP.NET Core applications
Build RESTful APIs and microservices
Implement Azure integrations using Logic Apps, Functions, Service Bus, Event Grid, and API Management
Create and manage secure, scalable integrations between cloud and on-prem systems
Integrate third-party and internal enterprise systems
Deploy and operate applications in Azure (App Services; AKS is a plus)
Set up CI/CD pipelines with Azure DevOps or GitHub Actions
Monitor and troubleshoot using Azure Monitor and Application Insights
Work with SQL Server (and optionally Cosmos DB) and optimize queries/data flows
Perform unit and integration testing; support code quality via code reviews
Participate in Agile/Scrum ceremonies and sprint planning
Requirements
7–8+ years of .NET development experience
Strong C# and ASP.NET Core/Web API experience
Hands-on Azure experience for cloud integrations, including Service Bus
Strong REST/JSON and microservices architecture experience
Proficiency in SQL Server and database design; experience with Entity Framework
Strong SQL and event-driven architecture/message queue experience
Local candidate able to work in a hybrid model
Benefits
6-month contract with hybrid working model
Opportunity to use AI-assisted development tooling (e.g., GitHub Copilot, Claude Code) and prompt engineering in day-to-day delivery
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