Fullstack engineer evolving memodio’s prescribed digital health app with Flutter and Node.js. Building accessible features and regulated medical software for older users worldwide.
About the role
- Senior Software Engineer on the Risk Engineering team at Coinbase. Developing and optimizing fraud detection systems to protect millions of users in real-time.
Responsibilities
- 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
Requirements
- 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.
Benefits
- Total compensation may include equity and bonus eligibility and benefits (including medical, dental, and vision).
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