Software Engineer

Position: Software Engineer I
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.

The Software Engineer I applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. The role also includes learning to use AI-assisted development tools to support coding, testing, analysis, and documentation across the SDLC. This position works alongside more experienced engineers to understand business requirements, learn architectural direction, and contribute to building scalable, resilient, secure, and well-tested systems.

It emphasizes foundational skill development, collaboration, responsible use of AI in development workflows, and delivering high-quality features for 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

• Gain familiarity with software engineering concepts, tools, and methodologies relevant to the Central Dispatch logistics platform, including learning how to apply AI-assisted tools responsibly as part of daily development work.
• Contribute to coding tasks by writing unit and system tests, participating in pair programming, and using AI agents to support code generation, documentation, and troubleshooting while ensuring all output is reviewed for accuracy and security.
• Assist with breaking down business and functional requirements into clear technical tasks and contribute to planning using both manual analysis and AI-assisted estimation support.
• Identify opportunities to automate manual tasks, including leveraging AI-enabled tooling to streamline repetitive engineering activities.
• Evaluate and respond to bug submissions using traditional debugging techniques and AI-guided analysis to identify root causes and propose fixes.
• Support modernization efforts by helping update legacy code, participating in migration planning, and using AI tools to understand older patterns and suggest alternatives.
• Learn and apply secure coding practices and participate in AI-assisted code analysis to detect vulnerabilities, quality issues, or performance concerns.
• Assist in identifying software, server, or network bottlenecks by gathering diagnostics, running test scenarios, and using AI tools to evaluate potential remediation paths.
• Participate in performance testing and contribute to resolving issues uncovered through analytical and AI-supported review.
• Document processes, patterns, and best practices and use AI tools appropriately to produce clear and consistent documentation.
• Share observations, improvements, and lessons learned from AI-assisted workflows to help refine team practices.
• Communicate status, challenges, risks, and dependencies to teammates, managers, product owners, and other stakeholders.
• Assist with special projects or platform improvement initiatives as assigned.

Required Experience, Knowledge, and Skills

• Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
• Bachelor's degree in a related discipline and generally less than 2 years of experience in a related field, or 4 years of experience in a related field with no degree.
• Foundational skills in analytical thinking, requirements analysis, technical troubleshooting, software installation and support, and system or technology integration.
• Basic experience with one or more modern programming languages, cloud platforms, or development frameworks.
• Ability to learn new technologies quickly, follow established design patterns, and contribute to maintainable code.
• F…