Software Engineer

Overview 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. 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). What Success Looks Like (First 3–6 Months) Ship meaningful features to production with solid testing coverage and minimal rework. Demonstrate ownership: ask the right questions, think through edge cases, and improve the product beyond the ticket. Contribute to team velocity and quality through strong pull requests, reviews, and clear communication. Adopt AI‑assisted development practices responsibly and consistently. Required Qualifications Experience building modern web applications using React and TypeScript (or strong React and 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: 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 (including AI workflows). Perseverance: stays calm under pressure—especially when live events demand urgency. Peer Relationships: communicates clearly, supports teammates, and contributes to a healthy engineering culture. Drive for Results: focuses on shipping value while maintaining reliability and craftsmanship. Education Bachelor’s degree in Computer Science or related field or equivalent practical experience. Business Unit: PrestoSports Scheduled Weekly Hours: 40 Number of Openings Available: 1 Worker Type: Regular Jonas Software is an Equal Opportunity Employer. #J-18808-Ljbffr