Cox Enterprises posted a Sr. Design System Engineer role for its Design Foundations team in Atlanta, GA, with a hybrid work arrangement. The team builds tools, practices, processes, and design systems used by designers and front-end engineers across the organization. The role focuses on building, evolving, and scaling a design system through React components, web components, design tokens, AI-powered tooling, documentation, accessibility, and collaboration with designers and engineers.
What you'll do
- Build, maintain, and evolve a cross-platform design system spanning React components and web components
- Manage design token architecture from primitive values to semantic and component-level tokens
- Bridge Figma and code to support visual consistency across platforms
- Build and use MCP tools, skills, AI agents, and internal tooling that leverage the design system
- Make the design system machine-readable so AI can compose UIs using components correctly
- Create and maintain documentation, interactive playgrounds, and component showcases
- Mentor engineers across the organization on design system best practices
- Champion accessibility, automated accessibility testing, WCAG compliance, CI/CD pipelines, visual regression testing, versioning, and release management
What they\'re looking for
- Typically 5+ years of frontend engineering experience
- Deep TypeScript and React experience, including compound components, headless UI, and controlled/uncontrolled APIs
- Experience with or strong interest in web components and custom elements
- Bachelor\'s degree in Computer Science or related discipline and 4 years of experience in a related field, or master\'s degree and 2 years of experience, or Ph.D. and up to 1 year of experience, or 16 years of experience in a related field
- Experience using component libraries and understanding their constraints
- Familiarity with design token tooling and workflows, including Style Dictionary, Figma variables/tokens, token transforms, and design-to-code pipelines
- Strong understanding of WCAG and hands-on experience testing accessibility across browsers and assistive technologies
- Use of AI tools in day-to-day work, such as MCP servers, LLM tooling, prompt engineering, or agent-based workflows