Senior Software Engineer, Backend - Overseer (Platform)

Coinbase is a mission-driven company focused on increasing economic freedom through the future of finance. The Senior Software Engineer will build and scale real-time integrity systems that enforce financial correctness across Coinbase fund flows, own workstreams from correctness modeling through production operation, develop AI-powered guardrails, partner across financial platform teams, and mentor junior engineers.

Responsibilities:

• 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
• 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
• Develop AI-powered guardrails including predictive consistency models that flag deviations at initiation and proactive invariant discovery that surfaces coverage gaps before incidents occur
• Partner with teams across FinHub, Payments, and Trading to design and implement correctness contracts for new and existing fund flows, translating financial rules into enforceable system invariants
• Mentor junior engineers on distributed systems design, correctness thinking, and production operational practices

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
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality