Senior Software Engineer, Prediction Markets Platform

What you’ll do

• Own the design of Go backend services that list and settle event contracts around the clock.
• Lead the move of business-critical workflows from Python/Airflow to Go services and durable job processing, without breaking live markets.
• Design pipelines that take in data from multiple providers, match the same event across them, and reconcile differences accurately and idempotently.
• Build settlement logic that holds up when things go wrong, including:
  • Late or corrected results
  • Cancellations
  • Voided markets
  • Provider outages
  • Race conditions
  • Write and review design docs, set engineering standards, and lead technical decisions across teams.
  • Mentor engineers through code review, pairing, and design feedback.
  • Take part in on-call, lead incident response, and remove the causes of recurring incidents.
  • Work with trading, operations, compliance, and product teams across time zones.

What we’re looking for

Required

• 5+ years building and running production backend systems, with ownership from design through on-call.
• Strong skills in Go, or deep experience in another backend language plus a clear willingness to work primarily in Go.
• Deep Postgres knowledge, including:
  • Schema design
  • Migrations
  • Query performance
  • Transactions
  • Isolation levels
  • Experience designing distributed systems, including:
    • Concurrency
    • Idempotency
    • Retries
    • At-least-once processing
    • Failure handling
    • A record of leading projects that span teams and making sound architecture trade-offs.
    • Clear writing, good judgment, and comfort when requirements are unclear.

    Nice to have

    • Experience with prediction markets, sportsbooks, exchanges, or sports data feeds, such as OpticOdds, LSports, StatsPerform, or Sportradar.
    • Experience with ledgers, payments, settlement, or other systems where money is on the line.
    • Redis, Kafka, or Postgres-backed job queues such as River.
    • Python and Airflow experience, which would help with the migration.
    • React/TypeScript.
    • AWS, Kubernetes, Docker, and CI/CD.
    • Experience in regulated environments, such as CFTC/DCM, FINRA, or similar.
    • Startup or zero-to-one experience.