Staff Software Engineer, Backend (Consumer - Risk)

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.” learn more about working at Coinbase.

As a Staff Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll serve as the technical anchor for the team that protects Coinbase and millions of users from fraud, financial crime, and financial risk. You'll define multi-quarter technical strategies, shape the architecture of our most critical risk systems, and lead the engineering team that builds real-time detection, decisioning, and mitigation infrastructure operating at the scale and speed of crypto markets. Your architectural decisions will determine how effectively we protect users and the business as Coinbase scales globally.

What you'll do:

• Own the end-to-end technical architecture of Coinbase's Risk Platform, including real-time fraud detection engines, risk decisioning systems, financial risk monitoring, and mitigation infrastructure operating at high throughput with low latency and 24x7 availability
• Shape multi-quarter technical strategies for the Risk Platform, identifying opportunities to simplify complexity, improve reliability, reduce fraud losses, and scale risk capabilities across new products, asset classes, and jurisdictions
• Lead the design and implementation of critical risk systems, translating ambiguous, high-stakes business requirements into scalable, resilient architectures that balance fraud prevention with user experience
• Partner cross-functionally with Data Science, ML, Product, Compliance, and senior leadership to define the roadmap and ensure the risk platform evolves ahead of emerging threats and regulatory requirements
• Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention
• Strengthen the team's technical capability through architecture reviews, code reviews, engineering standards for quality and performan