Lead Software Engineer

Company

Cox Automotive - USA

Engineering / Product Development

Lead Software Engineer

Manager - Non People Leader

Hybrid - Ability to work remotely part of the week

No

Day

Compensation includes a base salary of $ - $. 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.

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.

The Lead Software Engineer applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role operates as a senior technical expert who leads through influence rather than people management. Lead Engineers contribute to architecture, guide engineering practices across teams, and ensure systems are built for scalability, resilience, and long-term maintainability. The role also incorporates responsible use of AI-assisted development tools to improve design, coding, testing, troubleshooting, and documentation across the SDLC.

Lead Engineers elevate engineering standards, support cross-team alignment, mentor engineers at multiple levels, and contribute heavily to the evolution of the Central Dispatch platform.

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.

• Lead team efforts to design, develop, test, and document complex software systems and applications, incorporating AI-assisted tools into daily workflows to improve accuracy and reduce manual workload while ensuring all AI output is validated.
• Provide technical and procedural guidance to engineers within the team and across adjacent teams, including coaching on responsible AI usage, prompt strategies, and verification of AI-generated artifacts.
• Collaborate with analysts, engineers, architects, and product partners to design highly complex systems, using both personal knowledge and AI-supported exploration to evaluate architectural options or tradeoffs.
• Support multiple teams by reviewing designs, advising on solution approaches, and offering AI-enabled research, code analysis, and prototyping support.
• Break down functional and business requirements into clear implementation plans and estimations, integrating AI tools to explore solution space and improve estimation accuracy.
• Write high-quality, maintainable code and comprehensive automated tests for complex system components. Use AI to support test generation, refactoring, or documentation while validating quality and security.
• Evaluate secure coding practices and recommend improvements, including using AI-enabled scanning and analysis tools to identify vulnerabilities or code quality concerns.
• Ensure quality, performance, stability, observability, and adherence to specifications across team deliverables. Combine human expertise with AI analysis to detect bottlenecks or improvement opportunities.
• Drive modernization of legacy systems by guiding refactoring, migration planning, and solution redesign, leveraging AI tools to analyze legacy code and propose clearer patterns.
• Define and recommend metrics that improve engineering quality, cycle time, reliability, and operational performance, including metrics related to AI-assisted development.
• Present architectural decisions, system changes, and technical topics to peers, leadership, and partners, incorporating insights from…