Cox Automotive is looking to build and evolve its Common Vehicle Inventory (CVI) platform, driving product delivery, team performance, and fostering a culture of innovation, collaboration, and continuous improvement.
Requirements
- Strong hands-on experience with .NET (C-Sharp) and/or Java in building, testing, and maintaining scalable applications.
- Experience developing or integrating UI components, with exposure to modern front-end frameworks or libraries such as Stencil UI or similar web component-based technologies.
- Ability to collaborate across front-end and back-end layers to deliver cohesive, high-quality user experiences.
- Experience with cloud platforms (AWS preferred), microservices, and modern development practices.
- Experience with data-centric applications and a passion for driving business impact through technology.
- Strong communication, strategic thinking, and problem-solving skills.
- Experience working with product, business, and technical stakeholders.
Responsibilities
- Collaborate with Product, Architecture, and Engineering teams to develop and maintain the roadmap for CVI, ensuring alignment with business goals and enterprise strategy.
- Champion process improvement and technical excellence, supporting teams in adopting best practices in software development, automation, and operational health.
- Partner with Architecture, SRE, and other leaders to define and evolve technical direction, including modernization, scalability, and data integrity.
- Ensure successful delivery of CVI features and enhancements, meeting business objectives and timelines.
- Collaborate with Product to clarify requirements, set priorities, and align engineering work with customer needs.
- Promote best practices in code quality, automated testing, CI/CD, and observability.
- Lead experimentation and transformation of Software Engineering teams and processes to become AI-first-moving beyond simply using AI tools to fundamentally reimagining how teams operate, deliver value, and leverage AI as a core capability.
Other
- Bachelor's degree in a related discipline and 8 years' experience in a related field.
- 8+ years of software engineering experience, with 3+ years in engineering management.
- Proven success managing engineering teams (onshore and offshore) and delivering complex software products.
- Strong communication, strategic thinking, and problem-solving skills.
- Commitment to continuous learning and innovation, including leading teams in AI adoption and transformation.
