Online wagering platform for horse racing, sports, and casino betting
TwinSpires operates multi-channel betting infrastructure (desktop, mobile, retail) anchored in horse racing but expanding into sports and casino verticals. The tech stack is heavily Java/Kotlin with AWS microservices and Android-first mobile development, paired with QA tooling (Selenium, Appium, TestRail) typical of consumer-facing platforms requiring high reliability. Active projects signal two concurrent directions: LLM-feature integration and process automation, while hiring remains engineering-focused and mid-level weighted—suggesting either technical debt remediation or scaling toward new product surfaces without senior IC pressure.
TwinSpires is a wagering platform owned and operated by Churchill Downs, Inc., offering bets on horse racing, sports, and online casino games across web, mobile app, and physical retail channels. The platform targets consumers placing bets on Thoroughbred, Quarter Horse, and harness racing domestically and internationally, alongside professional and amateur sports. Operationally, the platform spans consumer engagement (web and mobile apps), backend transaction processing (payments, odds calculation, settlement), and content delivery (expert analysis, Brisnet data feeds, live betting). The company maintains a steady hiring pace focused on mid-level engineering roles in the United States.
Java, Kotlin, and Android for mobile; AWS (Aurora, Lambda, SQS, SNS, Elastic Load Balancing) for infrastructure; MySQL for data; RabbitMQ for messaging; Angular for web; Selenium, Appium, and TestRail for QA.
LLM-powered features integration, mobile and web app development, backend service scaling, process automation, and internal engagement and survey initiatives.
TwinSpires's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.