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Software Engineer, Frontend - Risk Platform: EVENT
Job in
Myrtle Point, Coos County, Oregon, 97458, USA
Listed on 2025-12-09
Listing for:
Bison Trails
Full Time
position Listed on 2025-12-09
Job specializations:
-
Software Development
Software Engineer, AI Engineer, Senior Developer
Job Description & How to Apply Below
Employer Industry: Cryptocurrency and Blockchain Technology
Why consider this job opportunity:- Salary up to $179,360
- Bonus eligibility and equity options included in full-time offers
- Comprehensive benefits package, including medical, dental, vision, and 401(k)
- Opportunity to work on high-impact projects that protect millions of users
- Collaborative team environment with opportunities for mentorship and professional development
- Flexibility to work remotely with required in-person participation at team events
- Design, scope, and build new risk detection systems and major features to address complex technical challenges
- Independently manage complex features and projects from inception to production deployment
- Collaborate with engineers, product managers, and senior leadership to create quarterly roadmaps
- Optimize end-to-end experiences related to security protection and fraud prevention
- Actively participate in PR reviews, code lifecycle management, and mentoring junior engineers
- 2+ years of experience in software engineering, with a proven ability to ship production systems
- Strong proficiency in at least one frontend framework (React, Type Script)
- Experience building and maintaining distributed systems at scale
- Strong understanding of software design patterns, data structures, and algorithms
- Familiarity with modern development practices including CI/CD, testing, and monitoring
- Experience with risk, fraud detection, or financial systems
- Familiarity with machine learning models and their application in production
- Experience with real-time event processing and streaming architectures
- Knowledge of payment systems (ACH, cards, crypto) and associated fraud patterns
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes)
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