Senior Fullstack .NET Engineer (Insurance)

TL;DR

Senior Fullstack .NET Engineer (Insurance): Developing a prototype based on an existing monolithic .NET system for the insurance domain with an accent on backend refactoring and architectural adjustments. Focus on implementing policy-related functionality, integrating Razor-based UI, and ensuring cloud deployment in Azure.

Location: Remote (Must be based in Argentina, Brazil, Colombia, Georgia, Poland, or Ukraine)

Company

hirify.global is an AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Fork and set up the existing .NET monolithic application and SQL database in a sandbox environment.
• Implement architectural adjustments and new backend logic for insurance policy configuration.
• Integrate and validate Razor-based UI and DevExpress components.
• Ensure the application is fully deployable and functioning end-to-end in an Azure cloud environment.
• Collaborate directly with product and domain stakeholders to refine technical requirements.
• Troubleshoot and resolve issues in the legacy codebase to bring the PoC to a functional state.

Requirements

• 5+ years of experience with C#/.NET development.
• Strong expertise in monolithic architecture, backend refactoring, and legacy system modernization.
• Hands-on experience with Razor Pages and MS SQL.
• Must be based in Argentina, Brazil, Colombia, Georgia, Poland, or Ukraine.
• Ability to independently deliver functional prototypes within compressed timelines.

Nice to have

• Experience with the insurance domain or policy/quote management systems.
• Familiarity with Developer Express (DevExpress) UI components.
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience deploying .NET applications to Azure.

Culture & Benefits

• Work on real-world AI-driven projects across key industries from startups to enterprises.
• Collaboration within a global team across various continents and cultures.
• Inclusive environment that prioritizes continuous learning and innovation.
• Adherence to ethical AI standards.