Lead Software Engineer, CMS

Responsibilities

• Implement and assist in the architecture of advanced Generative AI and Retrieval-Augmented Generation (RAG) systems to power intelligent recommendations and dynamic user personalization.
• Drive the rapid prototyping and full-cycle development of production-grade features for mobile and web applications.
• Promote and adhere to scalable platform standards, engineering patterns, and reusable components across the organization.
• Work closely within a small engineering group, partnering with design and product teams to rapidly design, develop, and prototype solutions to key business challenges.
• Utilize AI development tools to optimize your workflow and promote the use of AI-driven development practices across the team.
• Implement solutions with scalability and reliability in mind, incorporating appropriate testing, monitoring, and alerting.
• Contribute to clear documentation and diagrams to facilitate easy onboarding for other engineers and support teams. Review code to ensure adherence to best practices (style, testability, efficiency).
• Utilize and contribute to the evolution of monorepo tooling and workflows (e.g., Turborepo, Nx) to support build, test, and deploy across web and mobile applications.
• Adhere to and contribute to the evolution of Type Script and typing standards (e.g., strict mode, shared types, codegen) so that codebases stay maintainable, type-safe end to end, and refactor-safe.

• Experience or familiarity with Generative AI and RAG architectures
• Experience contributing to scalable platform products and adhering to cross-team engineering standards
• Ability to collaborate effectively with cross-functional stakeholders in a dynamic, fast-paced environment
• Solid understanding of browser behavior, rendering, and front-end performance (e.g., Core Web Vitals, lazy loading, code splitting)
• Experience with monorepo tooling and workflows (e.g., Turborepo, Nx), including shared packages, task pipelines, and cross-project dependencies
• BS in Computer Science or equivalent experience
• 7+ years of experience building scalable, production-grade web applications using modern JavaScript frameworks (React, Next.js) and Node.js
• Strong expertise in JavaScript and Type Script, including asynchronous programming, generics, strict typing, and advanced ES6+ features
• Deep knowledge of HTML and CSS, including responsive layout, cross-browser compatibility, accessibility, and performance optimization
• Experience consuming and designing APIs (REST and GraphQL), including Apollo Client and microservices-based architectures
• Proven experience modeling complex data flows for transactional and integration workflows
• Experience working with cloud platforms (AWS, GCP, or OCI) and containerized environments (Docker, Kubernetes)
• Familiarity with distributed systems concepts including caching (Redis, Memcached) and messaging systems (Kafka, RabbitMQ)
• Experience designing and developing highly scalable, high-performance applications
• Strong debugging and performance troubleshooting skills, including use of monitoring/observability tools (e.g., Open Telemetry, New Relic)
• Passion for sports and a dedication to creating exceptional fan experiences.

• Generative AI
• Retrieval-Augmented Generation
• Java Script
• Type Script
• React
• Next.js
• Node.js
• HTML
• CSS
• APIs

• collaboration
• communication
• problem-solving
• adaptability
• teamwork
• documentation
• code review
• mentorship
• leadership
• creativity

• BS in Computer Science