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Salary: USD 186,065 - 218,900 / annual
Coinbase is seeking a Senior Software Engineer to join the Overseer team within FinHub's Platform group. Overseer is a real-time integrity layer that enforces financial correctness across every Coinbase fund flow. The system makes explicit the rules that must always hold between systems, detects violations in seconds rather than quarterly reconciliations, and works with every team at Coinbase that moves money.
In this role, you will build and scale real-time invariant enforcement systems across Coinbase's fund flows, contributing to the core detection engine, invariant framework, and onboarding tooling that partner teams rely on. You'll own workstreams end-to-end, from designing correctness models with partner teams through production operation, ensuring new fund flows are covered by Overseer's integrity guarantees.
Key responsibilities include:
- Building and scaling real-time invariant enforcement systems across Coinbase's fund flows
- Owning workstreams end-to-end, from designing correctness models with partner teams through production operation
- Developing AI-powered guardrails including predictive consistency models that flag deviations at initiation and proactive invariant discovery that surfaces coverage gaps before incidents occur
- Partnering with teams across FinHub, Payments, and Trading to design and implement correctness contracts for new and existing fund flows
- Mentoring junior engineers on distributed systems design, correctness thinking, and production operational practices
Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges."
REQUIREMENTS:
- 5+ years building and operating large-scale distributed systems in production, with experience in financial systems, payments, reconciliation, or high-reliability transactional infrastructure
- Proficiency in backend programming (e.g., Go, Ruby, Python) with experience building platform-level infrastructure consumed by multiple teams, including APIs, frameworks, or detection systems
- Demonstrated ability to own workstreams end-to-end in ambiguous environments, designing correctness models and operating them through production with high standards for system-level behavior
- Experience with streaming data infrastructure (Kafka, Flink, Spark, or similar) and distributed data stores (Postgres, DynamoDB, or equivalent) in real-time or near-real-time processing contexts
- Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
