Senior .NET Full-Stack Engineer — Hybrid | AI-Driven Cloud

RLI Insurance Company

Peoria (AZ)

Hybrid

USD 96,000 - 138,000

Full time

10 days ago

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Benefits offered by this job

ESOP

401(k)

PTO & holidays

Tuition reimbursement

Education bonuses

Hybrid work arrangements

Health, dental, vision benefits

Job summary

RLI Insurance Company is seeking an experienced Senior Software Engineer (.NET Full Stack) with 8–10 years of professional software development to join our Software Engineering team in a hybrid work environment. You will design, develop, and support modern enterprise applications using the Microsoft technology stack while helping advance RLI's digital transformation initiatives.

The ideal candidate is a strong full-stack engineer with experience building scalable, cloud-ready applications using

Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent professional experience.
8–10 years of professional software development experience.
Strong experience developing enterprise applications using C# and .NET.
Experience developing modern web applications using Blazor, Razor, HTML5, CSS3, JavaScript.
Experience working with MongoDB, SQL Server, Kafka.
Experience designing and implementing RESTful APIs.
Strong understanding of microservices architecture and distributed systems.
Experience using Git for source control.
Experience implementing CI/CD pipelines and modern DevOps practices.
Experience working in Agile software development environments.
Experience using AI-assisted software development tools to accelerate coding, testing, troubleshooting, and documentation.
Demonstrated ability to evaluate and adopt emerging technologies that improve software delivery and engineering efficiency.

Responsibilities

Design, develop, test, and maintain enterprise applications using C# and the Microsoft .NET platform.
Build responsive, modern web applications using Blazor, Razor, HTML, CSS, and JavaScript.
Develop secure, scalable RESTful APIs and backend services.
Design and implement microservices that support distributed, event-driven applications.
Develop data access solutions using MongoDB and SQL Server.
Implement asynchronous messaging and event streaming using Kafka.
Participate in solution architecture, technical design, and code reviews.
Build and maintain automated testing and CI/CD pipelines.
Collaborate with product owners, architects, QA engineers, and business stakeholders within Agile delivery teams.
Troubleshoot production issues and optimize application performance, scalability, and reliability.
Follow engineering best practices for coding standards, testing, source control, documentation, and secure software development.
Mentor junior engineers and contribute to a culture of technical excellence and continuous learning.
Leverage AI-assisted development tools (such as GitHub Copilot, ChatGPT, or similar technologies) to improve software design, development, testing, debugging, and documentation.
Familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, or AI orchestration frameworks.
Evaluate and implement AI-enabled capabilities within enterprise applications where they provide measurable business value.
Apply secure and responsible AI development practices while protecting sensitive business and customer information.
Stay current with emerging AI technologies and recommend opportunities to improve engineering productivity and software quality.