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
Requirements
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.
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