Software Engineer (Backend, Consumer - Risk)

Join Coinbase as a Software Engineer in the Risk Engineering team, where you'll design, build, and optimize risk detection and mitigation systems. You'll work on critical services that protect users and the business from financial threats, collaborating with Data Science, ML, and Risk Analysts teams. The role requires experience in backend software engineering, familiarity with cloud platforms, and proficiency in at least one backend language.

• Design, build, and optimize risk detection and mitigation systems that balance technical excellence, system reliability, and business impact.
• Build and maintain backend services that power risk detection, fraud prevention, and financial risk mitigation across Coinbase's platform.
• Own feature delivery end-to-end — from technical design through implementation, testing, deployment, and monitoring — for risk platform capabilities.
• Experience with risk, fraud detection, or payment systems (ACH, cards, crypto) and associated fraud patterns
• Strong understanding of software design patterns, data structures, and algorithms — with the ability to independently manage complex tasks and work in unfamiliar systems with guidance
• Experience with blockchain technology (e.g., Bitcoin, Ethereum) and the unique risk challenges of crypto transactions
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality
• 2+ years of experience in backend software engineering, with a track record of shipping production services in a fast-paced environment
• Familiarity with cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and event-streaming architectures (Kafka, RabbitMQ)
• Proficiency in at least one backend language (e.g., Go, Ruby, Python, Java) and experience working with relational and/or NoSQL databases (e.g., Postgres, DynamoDB, MongoDB)
• Clear written and verbal communication skills; ability to collaborate effectively across engineering, product, data science, and risk operations stakeholders
• Experience building or working with high-throughput, low-latency systems — or a strong foundation in distributed systems fundamentals (APIs, event-driven architectures, cloud infrastructure)