Staff Software Engineer

What you'll do

• Own the multi-year technical strategy and architecture for Coinbase's financial data pipelines, reporting systems, and operational infrastructure, defining how these systems scale across entities, currencies, and product lines.
• Drive the design and delivery of new backend services in Golang, applying modern cloud technology and setting the engineering standards that solve novel financial engineering problems at increasing scale.
• Lead high-stakes initiatives to improve the accuracy, timeliness, and auditability of financial data, proactively identifying systemic risks and architecting resilient solutions before issues arise.
• Partner cross-functionally with Finance, Accounting, Tax, Compliance, and other Platform teams to translate complex financial and regulatory requirements into scalable, well-tested technical solutions that future-proof Coinbase's financial infrastructure.
• Shape the team's technical culture by mentoring senior engineers, leading design reviews, and establishing architectural patterns and coding standards that elevate the bar across Financial Engineering and adjacent orgs.

Required Skills and Experience

• 8+ years of backend software development experience, including designing, building, and scaling large-scale distributed systems in production with a strong understanding of service-oriented architecture.
• Led platform-building efforts that transformed fragmented services into coherent, reusable systems (e.g., shared frameworks, unified APIs, multi-tenant architectures) within financial or transactional domains.
• Deep expertise in Go (or similar backend languages) with proven ability to architect fault-tolerant, highly reliable systems handling high-volume financial data across multiple entities and currencies.
• Track record of setting technical direction across teams, influencing roadmaps, and driving alignment with both technical and non-technical stakeholders through staff-level architecture and strategy forums.
• Proven ability to translate complex financial, accounting, or compliance requirements into well-structured, maintainable systems that operate with precision at scale.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.