Frontend Software Engineer, Coinbase

• 2+ years of experience in software engineering, with demonstrated ability to ship production systems
• Strong proficiency in at least one frontend framework (React, TypeScript)
• Experience building and maintaining distributed systems at scale
• Ability to independently manage complex tasks and work in unfamiliar systems with guidance
• Strong understanding of software design patterns, data structures, and algorithms
• Experience with modern development practices including CI/CD, testing, and monitoring
• Strong proficiency in React and TypeScript/JavaScript
• Experience with modern component-based architectures
• Familiarity with state management solutions
• Understanding of web security best practices
• Experience collaborating with designers and product managers

Desirable

• The Risk Engineering Platform team at Coinbase is at the forefront of protecting our platform and millions of users from fraud and financial risks
• We build flexible, scalable, and customizable engineering systems to detect and prevent fraud in real-time, near-real-time, and scheduled workflows
• Our mission is to foster business growth by effectively managing financial risks while maintaining the best possible user experience
• As an IC4 Software Engineer on the Risk Engineering team, you will play a critical role in designing, building, and optimizing risk detection and mitigation systems that balance technical excellence, system reliability, and business impact
• You will work on high-impact projects that directly protect Coinbase users and enable the platform to scale safely
• Design, scope, and build new risk detection systems and major features, applying experienced-based judgment to solve complex technical challenges
• Independently manage complex features and projects from inception to production deployment
• Turn our vision into tangible roadmaps every quarter by working with engineers, product managers, and senior leadership
• Build self-serve options to reduce friction for legitimate users while blocking fraudulent activities
• Optimize end-to-end experiences related to security protection and scam prevention
• Actively participate in PR reviews, code lifecycle management, and mentor junior engineers
• Respond to incidents of all severities and contribute to post-mortems
• Collaborate with Data Science, ML, and Risk Analysts teams to develop both proactive (models & user-facing features) and reactive (one-off rules to mitigate urgent issues) solutions
• Proactively propose novel ideas to enhance codebase, features, and architecture, promoting developer efficiency
• Build systems that accelerate the team's ability to deliver high-quality work
• Identify, propose, and implement scalable solutions that can be leveraged across the team
• Leave code cleaner than you found it and maintain high code velocity
• Implement mechanisms to identify regressions and ensure prompt visibility of emerging issues