Senior Software Engineer

Company

Cox Automotive - USA

Job Family Group

Engineering / Product Development

Job Profile

Sr Software Engineer

Management Level

Individual Contributor

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

No

Work Shift

Day

Compensation

Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

Job Summary

As part of the Cox Automotive family, Central Dispatch is evolving the nation’s largest self-managed auto transportation platform. Our logistics solutions connect shippers with a nationwide network of carriers, enabling vehicles to move efficiently across the country. Our primary technologies are C#, .NET, Angular, REACT and JavaScript among others.

The Senior Software Engineer applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role independently delivers complex features, supports architectural decisions, and ensures systems are built for scalability, resilience, and long-term maintainability. Senior Engineers also use AI-assisted development tools to accelerate design, coding, testing, and troubleshooting across the SDLC, ensuring all AI-generated output is reviewed and validated to meet engineering standards.

This position emphasizes strong software craftsmanship, cross-team collaboration, continuous improvement, and mentoring less experienced engineers. Senior Software Engineers help guide technical practices within the team and contribute meaningfully to the evolution of the Central Dispatch platform.

Our Teams

Cox Automotive’s Central Dispatch teams are based primarily in Atlanta, GA. We have cultivated a group of versatile, hardworking, and creative team members with diverse skill sets who can adapt to the rapid changes in the automotive and technology industries. We are committed to supporting our logistics businesses and building for the future with a best-in-class platform.

Primary Duties and Key Responsibilities

• Serve as a contributing engineer on teams responsible for delivering complex product features and system enhancements, incorporating AI-assisted development tools into daily workflows to increase effectiveness and reduce manual effort.
• Break down functional and business requirements into clear, estimable technical tasks, using both traditional analysis and AI-enabled exploration to evaluate complexity and potential implementation paths.
• Write high-quality, maintainable code along with end-to-end automated tests for business-critical components. Use AI responsibly to support test generation, documentation, and refactoring tasks while validating all output.
• Ensure quality, performance, observability, security, and adherence to specifications for assigned development tasks and adjacent systems. Use AI-supported analysis tools to detect vulnerabilities, code-quality issues, or performance bottlenecks.
• Work with fellow engineers to ensure design and implementation decisions align with architectural standards, system constraints, and long-term platform strategy.
• Evaluate alternative technical approaches and provide input on patterns, frameworks, and secure coding practices, including leveraging AI to compare solution options or analyze tradeoffs.
• Troubleshoot complex issues using a combination of traditional debugging, log analysis, and AI-assisted root-cause exploration to accelerate diagnosis and remediation.
• Contribute to modernization efforts by refactoring legacy components, supporting migration plans, and using AI tools to analyze older code and propose updated patterns.
• Help define, promote, and support team coding standards, development patterns, and best practices, including proper use of AI in development workflows.
• Provide informal technical leadership and mentorship to Software Engineers I and II, including coaching them on responsible AI usage, prompt strategies, and validation techniques.
• Document processes, designs, and best practices and leverage AI tools when appropriate to improve clarity, consistency, and completeness.
• Communicate status, risks, and technical considerations clearly to teammates, managers, and product stakeholders.
• Contribute insights and improvements from prompt experimentation and AI-augmented workflows to help refine team standards and engineering practices.