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Responsibilities
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it's a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges."What You'll Do: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 onOwn workstreams end-to-end, from designing correctness models with partner teams through production operation, ensuring new fund flows are covered by Overseer's integrity guaranteesDevelop AI-powered guardrails including predictive consistency models that flag deviations at initiation and proactive invariant discovery that surfaces coverage gaps before incidents occurPartner 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 invariantsMentor junior engineers on distributed systems design, correctness thinking, and production operational practicesRequired Skills and Experience:5+ years building and operating large-scale distributed systems in production, with experience in financial systems, payments, reconciliation, or high-reliability transactional infrastructureProficiency in backend programming (e.g., Go, Ruby, Python) with experience building platform-level infrastructure consumed by multiple teams, including APIs, frameworks, or detection systemsDemonstrated ability to own workstreams end-to-end in ambiguous environments, designing correctness models and operating them through production with high standards for system-level behaviorExperience 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 contextsUtilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and qualityPay Transparency Notice:Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).Annual base salary range (excluding equity and bonus): $186,065—$218,900 USD
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