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, Java, or similar backend languages; capable of independently owning production-grade service developmen...