Senior Backend Engineer, Risk & Fraud (Real-Time, AI-Driven)

Coinbase, Inc.

Madison (WI)

Hybrid

USD 167,000 - 205,000

Full time

3 days ago
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Job summary

Coinbase, Inc. is seeking a Senior Software Engineer, Backend (Consumer - Risk) to lead the design and delivery of risk platform features that detect and prevent fraud, manage credit and market risk, and protect millions of users in real time at crypto-market scale.

You will mentor engineers and drive architecture decisions. You will collaborate with Data Science, ML, Risk Analysts, Product, and Compliance to build proactive and reactive risk systems, including real-time decisioning engines and

Qualifications

  • 5+ years of backend software engineering experience in production environments.
  • Experience designing distributed systems, microservices, event-driven architectures, REST/GraphQL APIs.
  • Ability to translate ambiguous requirements into clear technical plans and architectures.

Responsibilities

  • Lead design and delivery of risk platform features from architecture to deployment and monitoring.
  • Shape risk detection and mitigation systems balancing security with user experience.
  • Collaborate with Data Science, ML, Risk Analysts, Product and Compliance teams on real-time and reactive risk systems.
  • Build AI-native risk systems with agents to automate detection and response workflows.
  • Mentor engineers, conduct code reviews, document designs, and promote engineering best practices.
  • Own system quality, address technical debt, and drive incident response and post-mortems.

Skills

Backend engineering
Go
Ruby
Python
Java
Distributed systems
Architecture

Job description

Coinbase, Inc. is seeking a Senior Software Engineer, Backend (Consumer - Risk) to lead the design and delivery of risk platform features that detect and prevent fraud, manage credit and market risk, and protect millions of users in real time at crypto-market scale.

You will mentor engineers and drive architecture decisions. You will collaborate with Data Science, ML, Risk Analysts, Product, and Compliance to build proactive and reactive risk systems, including real-time decisioning engines and

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