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Senior Software Engineer, Backend; Risk Platform

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Bison Trails
Full Time position
Listed on 2026-01-31
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, Senior Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 218900 USD Yearly USD 218900.00 YEAR
Job Description & How to Apply Below
Position: Senior Software Engineer, Backend (Risk Platform)

Overview

Employer Industry: Cryptocurrency and Financial Technology

Why consider this job opportunity:

  • Salary up to $218,900 USD
  • Bonus eligibility and equity options included in the compensation package
  • Comprehensive benefits package including medical, dental, and vision coverage
  • Opportunity for career advancement and growth within a rapidly evolving industry
  • Work in a collaborative, high-performance environment with top-tier colleagues
  • In-person participation in team events and offsites, fostering connection and teamwork
What to Expect
  • Provide technical leadership for end-to-end projects, including implementation, deployment, and monitoring
  • Author, review, and approve technical design documents for complex features and systems
  • Manage complex projects from inception to production while mentoring junior engineers
  • Proactively improve code quality and address technical debt across the team's code bases
  • Lead the team's troubleshooting, bug triaging, and performance/scalability improvements
What is Required
  • 5+ years of experience in software engineering with a proven track record of delivering complex systems
  • Demonstrated ability to lead technical projects and mentor other engineers
  • Deep expertise in at least one backend programming language (Go, Java, Python, Ruby)
  • Experience building and scaling distributed systems in production environments
  • Strong understanding of system design, architecture patterns, and trade-offs
How to Stand Out (Preferred Qualifications)
  • Experience with risk, fraud detection, or financial systems at scale
  • Knowledge of machine learning models in production environments
  • Familiarity with real-time event processing and streaming architectures (Kafka, Flink)
  • Understanding of payment systems (ACH, cards, crypto) and associated fraud patterns
  • Track record of improving team productivity through tooling and process improvements

#Cryptocurrency #Financial Technology #Software Engineering #Career Opportunity #Technical Leadership

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Position Requirements
10+ Years work experience
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