Responsibilities

• Build the core backend systems for prediction data infrastructure, including source ingestion, normalization, canonical event registry, truth engine, and serving API
• Design and implement unified data models, event state machines, and audit trails for sports, politics, and other event types
• Develop replayable, traceable, and explainable data processing architecture to support low‑latency trading signals and high‑confidence settlement decisions
• Collaborate with data operations, market operations, research, and trading teams to define data quality standards, latency metrics, and exception handling workflows
• Drive continuous improvement of the system toward high availability, low latency, and strong observability

Requirements

• 5+ years of backend or infrastructure development experience, with proven ability to design core systems from scratch
• Proficiency in Python, Go, Ja...