Basketball Software Engineer (Full-Stack) — Equity Only

Wisely Optimize is a basketball analytics company focused on transforming complex data into actionable workflows for coaches and decision-makers. They are seeking a Basketball Software Engineer (Full-Stack) to lead their backend and database engineering efforts, develop data pipelines, and eventually expand into full-stack responsibilities.

Responsibilities:

• Database engineering: design, optimize, and maintain our data layer (AWS + Postgres feeding our Django app)—schema design, query performance, reliability, and scale
• Data pipelines: ingest data from external APIs and move it cleanly through to presentation in Django—transformations, validation, automation, and reporting workflows
• Orchestration & monitoring: own pipeline orchestration (Prefect), observability (Datadog), and deployment
• Reliability, consistency & performance: keep things fast and dependable through high-usage periods (portal cycle, preseason, conference play)
• Communicates and shows up: comfortable in a daily standup rhythm, clear about progress and blockers
• Django backend work beyond data: endpoints, business logic, permissions, admin tooling
• Front-end features and UX improvements within our current stack
• Turning 'coach needs' into clean, simple, dependable workflows end to end

Requirements:

• Proven, elite database engineering. This is the one area we need you strong in from day one—it's not learn-on-the-job. You're excellent with relational databases (Postgres), data modeling, and query/performance optimization
• Solid Python and SQL; experience building and maintaining data pipelines (API → database → app)
• Comfort with AWS and a deployment/monitoring mindset (Prefect, Datadog, or similar a strong plus)
• High motor + ownership: you communicate clearly, ship consistently, and follow through
• Hunger to grow into a full-stack engineer over time
• You love basketball and want to grow toward Basketball Operations long-term
• Prefect, Datadog, or comparable orchestration/observability tooling
• Django experience
• B2B SaaS or analytics product experience
• Experience in fast-moving, small-team environments