.NET Engineer (Fullstack)

You'll work across the full stack—building robust backends, optimizing SQL Server performance, and creating web ‐ based tools for monitoring and reporting—primarily in our Azure environment using Azure DevOps for CI / CD, collaboration, and project tracking.

You'll also have opportunities to contribute to AI-driven initiatives that improve fraud detection, risk assessment, and user experience through machine learning and intelligent automation.

What you'll do Design, develop, and maintain applications using .NET, C#, ASP.NET, and SQL Server.

Build web-based reporting systems to monitor performance, transactions, and error rates.

Develop engaging UIs with Vue.js and Blazor.

Integrate and enhance AI-powered features to automate decision-making and detect patterns in data.

Develop, test, and deploy solutions in Azure using Azure DevOps pipelines for CI / CD.

Optimize database and application performance; diagnose and resolve production issues.

Collaborate with product owners, QA, and stakeholders to refine requirements and deliver maintainable solutions.

Write clean, well-documented code; create unit / integration tests and participate in code reviews.

Support and enhance existing systems while staying current with emerging technologies and best practices.

Requirements Bachelor's degree in Computer Science or a related field.

Strong experience with .NET Framework / .NET, C#, ASP.NET, SQL Server, T-SQL, and stored procedures.

Proficiency in AJAX, jQuery, Vue.js, and Blazor; familiarity with LINQ, MVC, and JSON.

Solid understanding of object-oriented design, design patterns, and engineering best practices.

Experience in AI / ML development and applying AI to real-world business problems.

Background in identity verification, fraud prevention, payments, or risk assessment domains.

Ability to manage multiple priorities, communicate clearly, and deliver on time in a collaborative environment.

Nice to Have Azure certifications (e.g., Azure Developer Associate).

Experience with classic ASP, Java, XML, CSS, and JavaScript.

Experience with observability tools (logging, metrics, dashboards) and performance profiling.

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