Software Engineer developing risk detection systems for Coinbase's platform. Collaborating with teams to optimize fraud detection processes while ensuring high-quality user experience.
Responsibilities
Design, scope, and build new risk detection systems and major features
Independently manage complex features and projects from inception to production deployment
Turn our vision into tangible roadmaps every quarter by working with engineers
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 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 proactive and reactive solutions
Requirements
2+ years of experience in software engineering
Strong proficiency in at least one backend language (Go, Java, Python, Ruby)
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.
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