> Markdown version of [/jobs/ext/4102873-full-stack-net-developer-c-react-azure](https://www.wearedevelopers.com/jobs/ext/4102873-full-stack-net-developer-c-react-azure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack .NET Developer (C#, React, Azure) - **Company:** NTI CORPORATION - **Location:** East Brady, PA, United States - **Experience:** Experienced - **Salary:** $90,100.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Databases, Encompass, Github, Information Extraction, Microsoft SQL Server, SQL Azure, Open Web Application Security, Message Oriented Middleware, Software Engineering, TypeScript, ReactJS, Large Language Models, Claude Code, AI Coding Agents, Vue.js, Microsoft Business Central, Bicep, Terraform, Container Apps, Key Vault, Mulesoft - **Published:** October 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=12dcacd6feaed441 ## About the Role * 5 to 7 years of professional software development, including 4 or more years with C# and ASP.NET Core * At least one system you took from design to production * EF Core in production, including schema design, safe migrations and SQL Server or Azure SQL performance * React and TypeScript in production, with enough depth to build full screens and shared components * Hands-on Azure experience with Container Apps or AKS, Azure SQL, Service Bus, Key Vault, managed identity and Application Insights * A habit of writing tests as you build, including unit, integration and architecture tests * Experience with systems that handle money or regulated data, such as ledgers, approvals, audit trails or immutable records * Comfort using decimal math and rounding rules correctly * Multi-tenant SaaS experience, including keeping tenant data separate at the database level * Daily use of AI coding tools such as Claude Code, along with the judgment to review AI-written code closely * Clear written English and the ability to work independently without a large team around you Nice to have * Mortgage, title, escrow or settlement experience, especially with Closing Disclosures, ALTA statements, HUD-1, title commitments or recording * Integration work with underwriters (Fidelity, First American, Westcor), Simplifile, Snapdocs, Encompass or MuleSoft * Background in fintech, lending, insurance, payroll or ERP software * Document generation with Syncfusion DocIO, QuestPDF or similar tools * Building on an LLM API, including structured extraction, evaluation and human review steps * Security work such as threat modeling, OWASP, authorization design or SOC 2 preparation * Bicep or Terraform, and GitHub Actions * Entra External ID or another customer identity platform * Workflow or state-machine engines built on a message bus * Working knowledge of Vue 3 to support some older applications ## Description * Own whole modules end to end, including the domain model, EF Core schema and migrations, API endpoints, React screens and tests * Build on a modular .NET 10 system using ASP.NET Core minimal APIs and EF Core, with each module in its own schema and events sent through Azure Service Bus * Build web screens in React 19 and TypeScript using MUI, TanStack Query and React Hook Form * Write financial logic that has to be exact, such as an escrow ledger where posted entries never change, disbursements that need two approvals, wire controls and holdbacks * Produce settlement statements in Closing Disclosure, ALTA and HUD-1 formats from one set of data * Keep every client's data fully separate, with a database per tenant and tests that prove no data crosses between tenants * Connect outside services, including Entra External ID, title search providers and underwriters, Simplifile e-recording, MuleSoft order feeds and Business Central * Help build the first AI features, such as reading lender Closing Disclosures and taking in emailed orders, always with a person reviewing the results