Software Engineer

Job Description: As a Software Engineer at PrestoSports, you’ll design, build, and maintain software that directly impacts how colleges present their programs, how fans follow games, and how teams operate on game day. You’ll work primarily in a modern front-end stack (React + TypeScript) while collaborating closely with Product Owners, designers, and other engineers to deliver customer-facing features with reliability and polish. This role is ideal for someone who balances strong technical execution with a product mindset—you care about outcomes, usability, stability during live events, and building systems that are easy to maintain and extend. You don’t need prior AI-coding experience, but you must be open to using AI tools in your workflow. What You’ll Do (Responsibilities) Build and ship product features Develop and enhance front-end experiences using React and TypeScript , with an emphasis on performance, accessibility, and clean design patterns. Translate product requirements into scalable implementations that are easy to support across many collegiate clients and configurations. Work with APIs (REST/JSON) to integrate data for live stats, schedules, rosters, content, streaming, and admin tools. Collaborate in an Agile environment Partner with Product Owners and cross-functional stakeholders to refine requirements, identify edge cases, and ensure we deliver the right solution. Participate in sprint planning, estimation, daily collaboration, demos, and retrospectives. Communicate tradeoffs clearly—balancing speed, quality, and long-term maintainability. Quality, testing, and reliability Write unit tests and automated tests for new and existing functionality (Jest/React Testing Library or equivalent). Improve reliability through thoughtful error handling, logging, and defensive UI patterns—especially for live event workflows where uptime matters. Participate in code reviews and contribute to engineering standards, patterns, and shared component libraries. Maintain and improve existing systems Troubleshoot, debug, and optimize production systems; identify root causes and implement durable fixes. Refactor legacy areas where needed to reduce technical debt, improve performance, and enable faster feature delivery. Contribute to documentation and internal tooling to support development at scale. AI-driven development (mindset required) Use AI tools to accelerate development (e.g., scaffolding, test generation, refactors, debugging assistance), while applying strong engineering judgment. Collaborate with teammates on best practices for AI-assisted coding (prompting patterns, validation, security considerations, and review discipline). Why PrestoSports Build products used by real teams and fans—work that shows up on game day. Ownership and impact: your work ships quickly and matters. A team culture moving fast with AI-driven development while still emphasizing strong engineering fundamentals. Challenging problems across web platforms, live stats, and high-reliability experiences. Bonus: help explore and implement AI-enabled features, workflows, or internal productivity tools. What Success Looks Like (First 3–6 Months) You ship meaningful features to production with solid testing coverage and minimal rework. You demonstrate ownership: you ask the right questions, think through edge cases, and improve the product beyond the ticket. You contribute to team velocity and quality through strong PRs, reviews, and clear communication. You adopt AI-assisted development practices responsibly and consistently. Required Qualifications Experience building modern web applications using React and TypeScript (or strong React + willingness to ramp quickly on TS). Comfort working with APIs (building against endpoints, handling auth, pagination, error states, and data modeling). Experience working in an Agile/Scrum environment. Experience writing unit tests and contributing to automated testing practices. Strong debugging skills and a commitment to building reliable, maintainable software. A demonstrated product mindset : you think about user impact, not just code completion. Open mindset toward AI-assisted development (prior AI coding experience not required). Nice-to-Have / Bonus Skills Experience with AI-assisted coding tools in professional workflows (or building AI-powered features). Familiarity with CI/CD pipelines and modern release practices. Experience with performance optimization (rendering, bundle size, caching, API efficiency). Knowledge of accessibility standards (WCAG) and front-end best practices. Experience with real-time or live-data environments (sports, finance, streaming, etc.). Interest in or familiarity with collegiate sports . Competencies We Value Problem Solving: Breaks down ambiguous problems and proposes practical solutions. Functional/Technical Skills: Writes clean code, understands systems, and improves quality over time. Learning on the Fly: Adapts quickly to new tools, products, and patterns (includ