Senior Backend Engineer, Risk & Fraud Systems

Coinbase, Inc.

Jackson (MS)

Hybrid

USD 167,000 - 205,000

Full time

6 days ago
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Job summary

Coinbase is seeking a Senior Software Engineer, Backend (Consumer - Risk) to design and build risk systems at crypto-market scale. You will lead end-to-end features, drive architecture, and partner with Data Science, ML, Risk Analysts, and Compliance to deliver real-time fraud detection and risk management.

You will mentor engineers, champion reliability, and address technical debt while using AI responsibly to improve workflow efficiency.

Qualifications

  • 5+ years of backend software engineering in production.
  • Proficiency in Go, Ruby, Python or Java and distributed systems.
  • Translate ambiguous requirements into clear technical plans.
  • Lead end-to-end projects with design, implementation and mentoring.
  • Experience in incident response and post-mortems for high-availability systems.
  • Responsible use of generative AI with human oversight.

Responsibilities

  • Lead design and delivery of risk platform features end-to-end.
  • Shape risk systems with scalable architectures balancing fraud prevention.
  • Collaborate with Data Science, ML, Risk, Product, and Compliance teams.
  • Build AI-native risk systems reducing manual intervention.
  • Mentor engineers, code reviews, design docs, and best practices.
  • Drive reliability via debt reduction, incident response and post-mortems.

Skills

Backend languages
Distributed systems
APIs REST/GraphQL
Technical leadership
Mentoring engineers
Requirements translation
On-call / high availability
AI with oversight

Job description

Coinbase is seeking a Senior Software Engineer, Backend (Consumer - Risk) to design and build risk systems at crypto-market scale. You will lead end-to-end features, drive architecture, and partner with Data Science, ML, Risk Analysts, and Compliance to deliver real-time fraud detection and risk management.

You will mentor engineers, champion reliability, and address technical debt while using AI responsibly to improve workflow efficiency.

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