Software Engineer, Backend Developer, Full Stack Developer

As part of Cox Automotive's Advertising & Marketing Release Train, our engineering teams build the products and platforms that help automotive dealers and OEMs plan, execute, and optimize their advertising — from intelligent budget recommendations and automated campaign management to video production pipelines, third-party ad integrations, and marketing analytics. We operate within a SAFe Agile framework and deliver value through well-defined Value Streams that connect engineering capabilities to measurable business outcomes.

We are looking for a Software Engineer I who is eager to learn, grow, and contribute to a high-impact team from day one. This is an early-career role designed for engineers who bring foundational technical skills, intellectual curiosity, and a genuine enthusiasm for modern software development practices — including the responsible use of AI-assisted development tools.

In this role, you will work alongside experienced engineers to understand business requirements, develop your technical craft, and contribute to building scalable, resilient, and well-tested systems. You will begin learning how to leverage AI tools such as Git Hub Copilot, Claude Code, and MCP-based workflows to support coding, testing, and documentation tasks — under the guidance of senior team members and with a focus on validating and taking ownership of all AI-generated output.

Cox Automotive's Advertising & Marketing teams are spread across Atlanta, GA, Austin, TX, and Burlington, VT. Our release train is home to multiple product engineering teams working across a broad surface area — full-stack web applications, serverless APIs, data pipelines, AI-driven recommendation systems, and advertising automation services — all running on modern cloud infrastructure

Across our teams, we value engineering craft, continuous improvement, and spec-driven development as a growing practice for building well-defined, testable systems. If you are excited to grow your skills in a real-world production environment where collaboration, intentional design, and responsible AI adoption are all part of how we work — you will fit right in

• Contribute to full-stack feature development across frontend UIs and backend APIs and services, writing clean, readable, and well-tested code under the guidance of senior engineers
• Write unit and integration tests, participate in pair programming, and use AI tools to support code generation, documentation, and troubleshooting — always reviewing output for accuracy, security, and alignment with engineering standards.
• Work within your team to understand and break down epics, features, and stories, building familiarity with how requirements are shaped using AI for problem and solution discovery.
• Learn and apply spec-driven development (SDD) practices by participating in specification reviews and contributing to well-structured specs before implementation begins.
• Develop foundational skills across your team's core technology stack, applying object-oriented design principles to write modular, maintainable, and extensible code.
• Build familiarity with cloud services and begin learning infrastructure-as-code concepts under the guidance of senior engineers
• Gain exposure to relational and non-relational data stores as part of contributing to data-driven services.
• Learn to troubleshoot issues using traditional debugging techniques and, progressively, AI-assisted root-cause exploration — including supporting production systems through monitoring, alerting, and incident response alongside senior engineers.
• Support platform modernization efforts by assisting with legacy code updates and migration tasks, using AI tools to understand older patterns and propose alternatives.
• Learn and apply secure coding practices and participate in AI-assisted code analysis to identify vulnerabilities or quality concerns.
• Document processes, patterns, and best practices, leveraging AI tools appropriately to produce clear and consistent documentation.
• Share observations and lessons learned from AI-assisted workflows to help refine team practices.
• Communicate status, challenges, and…