Senior Software Engineer, Backend (Consumer - Risk)

Overview

Senior Software Engineer on the Risk Engineering team within the Consumer & Business group, building and optimizing systems that detect and prevent fraud, manage credit and market risk, and protect users from financial threats in real time.

What you'll do

• Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability
• Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience
• Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls)
• 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 by mentoring engineers, conducting rigorous code reviews, writing technical design documents for complex systems, and championing engineering best practices across the codebase
• Own system quality and operational excellence by proactively addressing technical debt, driving bug triaging, and leading incident response and post-mortems to ensure platform reliability

What you'll need

• 5+ years of backend software engineering experience with a track record of delivering complex, high-impact systems in production environments
• Deep proficiency in backend languages (Go, Ruby, Python, or Java) with demonstrated experience designing distributed systems including microservices, event-driven architectures, and REST/GraphQL APIs
• Proven ability to translate ambiguous requirements into clear technical plans and working architectures, driving technical clarity across engineering, product, and data science teams
• Track record leading end-to-end projects with long-term impact, including scoping, design, implementation, monitoring, and mentoring other engineers through the process
• Experience leading incident response, conducting post-mortems, and driving measurable operational improvements in high-availability systems
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

Details

• Remote-first, but not remote-only: expect to get together quarterly for in-person working sessions called "surges"
• Annual base salary range (excluding equity and bonus): $186,065 USD; total compensation may also include equity, bonus eligibility, and benefits (medical, dental, vision, 401(k))
• Candidates may submit a maximum of 3 applications within a 6-month period