About the position
The Software Engineer will design, develop, and document systems supporting and integrating internal platforms that enable consumption of sports content across various screens and devices. This role is also responsible to build and maintain mission-critical applications, systems, and workflows. NCAA Digital brings to life one of the world's biggest sporting events for millions of fans every year - March Madness. TNT Sports' partnership with the NCAA encompasses products, content, and experiences across every possible platform - from iPhones to Facebook, and everything in between. Beyond March Madness, NCAA Digital covers 91 NCAA Championships for passionate college sports fans - including exciting events like the Frozen Four and College World Series.
Responsibilities
- Lead the development of complex front-end features using React and related technologies.
- Architect scalable and maintainable UI components and front-end systems.
- Collaborate with UX/UI designers to translate wireframes and mockups into responsive, accessible interfaces.
- Optimize applications for maximum speed and scalability.
- Conduct code reviews, mentor junior developers, and uphold front-end best practices.
- Stay current with front-end trends and advocate for modern tools and workflows.
Requirements
- 5+ years of professional experience in front-end development.
- Expert-level proficiency in JavaScript/Typescript.
- Experience with one or more UI framework such as React or Vue.
- Strong understanding of HTML5, CSS3, and responsive design principles.
- Experience with state management libraries (e.g., Redux, Pinia).
- Familiarity with modern build tools and bundlers (e.g., Webpack, Vite).
- Experience with testing frameworks (e.g., Jest, React Testing Library, Vitest).
- Working knowledge of Drupal and PHP.
- Strong communication skills and a collaborative mindset.
- Experience with CI/CD pipelines and version control (Git).
Nice-to-haves
- Experience building Progressive Web Applications (PWAs).
- Experience with high-performance, high-availability, high-scale applications in production environments.
- Experience integrating and leveraging AI/ML.
