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Mid-level backend role, metro location, and generalist skillset attract many applicants.
Core backend skills are broadly transferable; sports domain experience is optional.
Explicit 5–8 years and mandatory Python, APIs, cloud, and database experience enforce moderate filtering.
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Build and maintain scalable backend services and APIs supporting sports intelligence products used internally and by external clients.
Ensure backend systems are production-ready with focus on performance, scalability, caching, monitoring, and reliability for high-traffic, read-heavy workloads.
Contribute to architecture, technical decisions, code quality, and collaborate across data, ML, product, and engineering teams for end-to-end solutions.
5+ years experience building and shipping backend services in production.
Strong proficiency in Python, SQL, and design of REST APIs with versioning and backward compatibility.
Experience with cloud infrastructure, containerized deployments, CI/CD, automated testing, and observability tools.
Bachelor's degree in Computer Science, Engineering, IT, or related field.
Experienced in building reliable, scalable backend systems for real-time or high-traffic applications, especially in data-intensive or analytics contexts.
Capable of independently handling technical specifications and clarifying ambiguous requirements in a collaborative engineering environment.
Familiarity with backend engineering best practices including production readiness, monitoring, troubleshooting, and cross-team collaboration.