Staff Software Engineer, Backend
Own technical strategy and architecture for Coinbase's Transfers platform, building and scaling high-throughput distributed systems that orchestrate crypto and fiat fund movements across Retail, Prime, Exchange, and Payments.
Responsibilities
- Own the technical strategy, architecture, and roadmap for the Transfers platform, making key design decisions on fund movement orchestration, routing, and reliability across crypto and fiat rails.
- Drive cross-team initiatives that span multiple product groups (Retail, Prime, Exchange, Payments, International), building alignment with stakeholders and turning ambiguous requirements into scoped technical plans.
- Build and scale high-throughput, fault-tolerant distributed systems that process billions of dollars in daily transaction volume with the correctness and auditability standards of financial infrastructure.
- Lead the evolution of engineering processes, quality standards, and architectural patterns across the team, raising the bar through design reviews and hands-on mentorship.
- Partner with Product, Finance, Risk, and Compliance to translate business and regulatory requirements into platform capabilities that unlock new fund movement corridors and product launches.
Requirements
- 8+ years of experience in software engineering, with a track record of designing and building fault-tolerant, highly reliable distributed systems at scale.
- Demonstrated ownership of technical strategy and roadmap for a platform or service area, including making architectural trade-offs with significant organizational impact.
- Proven experience architecting solutions to ambiguous, cross-team problems, driving alignment across engineering and non-engineering stakeholders to deliver results.
- Deep experience with ledgering, transfers, payments, or trading systems that process high-precision financial transactions at scale.
- Track record of elevating team technical quality through mentorship, design reviews, and engineering process improvements.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
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