Teams at Swish Analytics

Own and lead backend products from architecture through production operation. Design high-traffic APIs and microservices, improve application and database performance, build real-time distributed data services, and enhance reliability, observability, automation, Kubernetes workloads, and cloud efficiency. Review code, establish engineering standards, coordinate dependencies, communicate tradeoffs, and drive ambiguous technical initiatives through rollout.

Investigate production incidents using raw real-time data, identify root causes, and recommend resolutions. Build statistical system-health metrics, descriptive reports, and repeatable investigation tooling. Analyze event-driven systems during live sports events, work independently on ambiguous problems, and collaborate with data science, engineering, and trading teams. Develop and maintain production software using Python and Rust.

Manage sportsbook risk and profitability through positive expected value decisions, maintain accurate depth charts, adjust prematch and in-play markets, research verified sports news, and analyze betting trends to drive quantifiable trading actions. Requires at least three years of online sportsbook in-game experience, strong odds and statistical knowledge, familiarity with major North American sports, and flexible availability for nights, weekends, and holidays.