Senior Software Engineering, Servicing

Insight Global is seeking a Senior Software Engineer to join one of our clients' enterprise engineering teams. This individual will work within a small Agile Scrum team responsible for designing, developing, and maintaining large-scale, data-driven web applications.

This is a hands-on engineering, the Senior Software Engineer will work across the full application stack, owning features from the user interface through backend services and the database. They will also contribute to technical design, engineering standards, mentoring, and the team's continued adoption of AI-assisted software development practices.

The ideal candidate has experience developing complex enterprise applications and can demonstrate strong software engineering fundamentals, problem-solving ability, and end-to-end ownership. While the primary environment is C#/.NET, Angular, and Oracle, the team is open to strong engineers coming from comparable technologies such as Java and React who have the fundamentals and aptitude to learn a new stack.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

8+ years of professional software engineering experience.

• 5+ years of full-stack application development experience.
• Hands-on experience with C#/.NET Core, ASP.NET Web API, and Angular.
• Experience with automated testing frameworks such as xUnit, NUnit, or Jasmine.
• Experience using AI development tools such as Claude Code, GitHub Copilot, Cursor, Codex, or comparable platforms.
• Experience evaluating or helping implement AI-assisted development practices across an engineering team.
• Exposure to customer-facing AI/ML capabilities such as LLM integrations, natural language processing, document classification, or ML models.