Software Engineer I

About the role

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.

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.

Requirements

• 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.
• 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.
• 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.

Qualifications

• 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.
• No OPT, CPT, STEM/OPT or visa sponsorship now or in the future.
• 1+ years of hands-on experience developing at an enterprise level.
• Academic or internship exposure to cloud platforms, particularly AWS.
• Coursework or project experience with relational/non-relational databases, caching, or distributed systems concepts.
• Demonstrated ability to learn new technologies quickly through personal projects, open-source contributions, or academic work.

Pay

USD 74,000.00 - 111,000.00 per year

Schedule

Rotational on-call duties outside of standard business hours may be required.