Build and scale real-time invariant enforcement across Coinbase’s fund flows.
Contribute to the core platform: the detection engine, invariant framework, and tooling that partner teams use to onboard their fund flows.
Own workstreams end-to-end: from designing correctness models with partner teams to operating them in production.
Build AI guardrails that close the velocity gap: predictive consistency models that flag deviations at initiation (not after settlement), and proactive invariant discovery that surfaces coverage gaps before any team asks — before incidents, not because of them.
Mentor junior engineers and lead technical execution on high-impact projects.
Requirements
5+ years of software development experience with large-scale distributed systems.
Strong sense of correctness — not just "does the code work" but "is the system as a whole behaving correctly."
Experience building platform-level infrastructure used by multiple teams.
Strong ownership: you hold the problem, not just the ticket.
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.