C#/.NET Engineer - AI-Driven, Hybrid, End-to-End

Cox Automotive Inc.; Atlanta (GA); Hybrid; USD 89,000 - 134,000; Full time

Benefits offered by this job

Paid holidays

Wellness time off

Bereavement leave

Vote time off

Jury duty leave

Parental leave

Vacation with pay

Job summary

Cox Automotive Inc. is seeking a Software Engineer II (C#, .NET) to design, develop, and maintain scalable software across the full stack. You will collaborate with Product, Architecture, and Engineering to deliver high-quality solutions and mentor peers.

The role emphasizes production-ready code, AI-assisted development, and spec-driven workflows to improve productivity and reliability in a hybrid work environment across the United States.

Qualifications

• Bachelor's degree in Computer Science or related discipline with multi-year software experience.
• Strong proficiency in C#, .NET and modern cloud platforms.
• Experience with APIs, distributed systems, and CI/CD pipelines.
• Ability to design scalable, secure, well-documented software.
• Hybrid work schedule and on-call availability may be required.
• Experience with automated testing and production support.

Responsibilities

• Design, develop, test, and deploy software across the full tech stack.
• Translate requirements into clear technical specifications and APIs.
• Ensure systems are scalable, resilient, and secure.
• Write automated unit, integration and end-to-end tests.
• Mentor junior engineers and contribute to engineering best practices.
• Collaborate with Product, QA, and Architecture teams.

Skills

C#

.NET

AWS

APIs

CI/CD

Hybrid work

On-call

Education

Bachelor's degree in Computer Science or related

Master's degree in Computer Science or related

Ph.D. in related field

Tools

Copilot

Job description

Cox Automotive Inc. is seeking a Software Engineer II (C#, .NET) to design, develop, and maintain scalable software across the full stack. You will collaborate with Product, Architecture, and Engineering to deliver high-quality solutions and mentor peers.

The role emphasizes production-ready code, AI-assisted development, and spec-driven workflows to improve productivity and reliability in a hybrid work environment across the United States.