Senior Backend Engineer / Data Infrastructure

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 development
• Familiarity with Kafka/Redpanda, Postgres, Redis, and similar infrastructure components; understanding of event-driven architecture
• Experience with real-time data processing, streaming systems, message queues, or event sourcing
• Strong awareness of system correctness, observability, replay capabilities, and failure recovery
• Ability to drive architectural design and engineering execution under ambiguous requirements

Bonus

• Experience in trading, market data, risk control, sports data, financial data, or low-latency systems
• Experience with multi-source data reconciliation, conflict resolution, entity alignment, or event adjudication systems
• Familiarity with ClickHouse, Temporal, gRPC, Prometheus/Grafana
• Interest in prediction markets, or market operations