Hybrid Lead .NET Engineer — AI‑Driven Azure Architect

Request Technology, LLC; Chicago (IL); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Request Technology, LLC in Chicago, IL seeks a Lead Software Engineer to own full‑stack delivery using .NET, React/Next.js, and Azure. You’ll guide architecture from concept to production and set engineering standards across the team.

You will mentor engineers, drive AI/GenAI integration, ensure security and observability, and collaborate with product and design to deliver scalable, reliable software.

Qualifications

• 8+ years of professional software engineering experience.
• .NET (C#) and React/Next.js proficiency.
• Azure cloud platform experience with production apps.
• Design REST/GraphQL APIs and microservices architecture.
• CI/CD with Azure DevOps or GitHub Actions.

Responsibilities

• Lead the design and delivery of full‑stack apps using .NET, React/Next.js, and Azure.
• Set engineering standards for code quality, testing, and security.
• Make architectural decisions for new features and systems.
• Lead AI/GenAI integration, including LLM features and RAG pipelines.
• Mentor engineers through pairing and reviews.
• Collaborate with product teams to translate requirements into plans.
• Own production reliability: observability, incident response, root cause.
• Apply security best practices across the stack.
• Partner with DevOps on CI/CD pipelines and cloud deployment.

Skills

8+ years experience

Software architecture

Cloud scalability

Code reviews

Tools

.NET (C#)

React/Next.js

Azure App Service

Azure Container Apps/AKS

Azure SQL

Azure Service Bus

Azure OpenAI Service

SQL Server

PostgreSQL

Cosmos DB

CI/CD (Azure DevOps or GitHub Actions)

REST/GraphQL APIs

Job description

Request Technology, LLC in Chicago, IL seeks a Lead Software Engineer to own full‑stack delivery using .NET, React/Next.js, and Azure. You’ll guide architecture from concept to production and set engineering standards across the team.

You will mentor engineers, drive AI/GenAI integration, ensure security and observability, and collaborate with product and design to deliver scalable, reliable software.