Senior .NET Software Engineer

Smart IMS•Austin, TX

1d•Onsite

About The Position

As a Senior .NET Software Engineer, you will design, develop, maintain, and support enterprise software solutions across the full application stack. You will collaborate with cross-functional teams to translate business requirements into scalable applications, resolve complex technical issues, and deliver high-quality software in a fast-paced Agile environment.

Requirements

Strong experience developing enterprise applications using C# and .NET technologies.
Hands-on experience with Angular, TypeScript, HTML, and CSS for modern front-end development.
Expertise in designing, developing, and consuming RESTful APIs.
Experience developing, integrating, and maintaining SOAP-based web services.
Experience deploying and supporting applications on PCF/Tanzu Cloud Foundry platforms.
Proficiency with unit testing, integration testing, test planning, and defect resolution processes.
Experience using GitHub Copilot or similar AI-assisted development tools.
Knowledge of SQL Server, relational databases, and data access patterns.
Experience with Git, CI/CD pipelines, and application modernization initiatives.
Strong analytical, troubleshooting, communication, and documentation skills with the ability to thrive in a fast-paced environment.

Responsibilities

Design, develop, and maintain full-stack applications using .NET technologies and Angular.
Translate business requirements and technical specifications into robust software solutions.
Develop and maintain RESTful APIs, backend services, and enterprise integrations.
Support and enhance SOAP-based services and legacy system integrations.
Investigate, troubleshoot, and resolve application defects and production issues.
Perform software maintenance, code enhancements, and application modernization activities.
Create and execute unit, integration, and manual test plans to ensure software quality.
Deploy and support cloud-native applications within PCF/Tanzu Cloud Foundry environments.
Collaborate with business analysts, QA teams, and developers throughout the Agile SDLC.
Utilize AI-assisted development tools to improve productivity, code quality, and testing efficiency.