The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
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 they're looking for
- + 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
