Software Engineer I

Cox Communications • Austin, TX

7d • Hybrid

About The Position

As part of Cox Automotive's Consumer & Marketing Solutions Portfolio, our Demand Side Platform team builds real-time bidding and programmatic advertising infrastructure that powers vehicle marketing at scale. We operate within a SAFe Agile Release Train, delivering value through well-defined Value Streams that connect product 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 GitHub Copilot, Claude Code, and MCP-based workflows to support coding, testing, and documentation tasks — always under the guidance of senior team members and with a focus on validating and taking ownership of all AI-generated output. Our Team Cox Automotive's Advertising & Marketing teams are spread across Atlanta, GA, Austin, TX, and Burlington, VT. Our Demand Side Platform team operates at the intersection of high-throughput data systems, real-time decisioning, and cloud infrastructure. We are a collaborative team that values engineering craft, continuous improvement, and building systems that scale. If you are excited to grow your skills in a real-world, production engineering environment where AI tooling is a first-class part of the workflow — you'll fit right in.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline. The right candidate could also have a different combination , such as 4 years' experience in a related field.
• Openness to learning and responsibly adopting AI-assisted development tools (such as GitHub Copilot, Claude Code, or MCP-based workflows) as part of everyday engineering practice.
• Foundational programming skills in one or more modern languages; exposure to Java, TypeScript, or Python is a plus.
• Basic understanding of software development concepts including version control, testing, debugging, and the software development lifecycle.
• Eagerness to learn and grow across a broad technology stack including cloud platforms, data stores, and infrastructure tooling.
• Familiarity with or willingness to learn Agile and/or Value Stream-based delivery models.
• Strong communication and teamwork skills with a willingness to take guidance and grow within a collaborative engineering environment.
• Intellectual curiosity, a growth mindset, and a commitment to continuous learning and improvement.
• Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

Nice To Haves

• Academic or internship exposure to cloud platforms, particularly AWS.
• Coursework or project experience with relational/non-relational databases, caching, or distributed systems concepts.
• Basic understanding of CI/CD pipelines, containerization, or infrastructure-as-code concepts.
• Demonstrated ability to learn new technologies quickly through personal projects, open-source contributions, or academic work.

Responsibilities

• Contribute to coding tasks by writing unit and system tests, participating in pair programming, and using 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 the team's core technology stack — including Java, TypeScript, and Python — with a focus on writing clean, readable, and maintainable code.
• Build familiarity with AWS cloud services and begin learning infrastructure-as-code concepts (Terraform, AWS CDK) under the guidance of senior engineers.
• Gain exposure to relational and non-relational data stores (SQL/NoSQL) and in-memory caching concepts (Redis/Valkey) as part of contributing to data-driven services.
• Learn to troubleshoot issues using traditional debugging techniques and, progressively, AI-assisted root-cause exploration to diagnose and resolve problems.
• 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 dependencies clearly to teammates, engineering managers, and product stakeholders.

Benefits

• The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members.
• Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
• health care insurance (medical, dental, vision)
• retirement planning (401(k))
• paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level