Senior Backend Engineer, Risk & Fraud (Remote)

Coinbase, Inc.; United States; Hybrid; CAD 172,000 - 210,000; Full time

Job summary

Coinbase is seeking a Senior Software Engineer for the Risk Engineering team within the Consumer & Business group. You will build and optimize real-time risk systems to detect fraud, manage credit and market risk, and protect millions of users in crypto markets.

You will lead end-to-end projects, drive architectural decisions, and mentor engineers while collaborating with Data Science, ML, Risk Analysts, Product, and Compliance.

Qualifications

• 5+ years of backend software engineering experience in production systems.
• Deep proficiency in Go, Ruby, Python or Java for distributed architectures.
• Ability to translate ambiguous requirements into clear technical plans across teams.
• Track record leading end-to-end projects with long-term impact.
• Experience leading incident response, post-mortems, and operational improvements.
• Uses generative AI responsibly with human oversight to improve workflows.

Responsibilities

• Lead design and delivery of complex risk platform features end-to-end.
• Drive architectural decisions shaping risk detection and mitigation systems.
• Collaborate with Data Science, ML, Risk Analysts, Product and Compliance.
• Build AI-native risk systems to automate detection and response workflows.
• Mentor engineers, conduct code reviews, and promote best practices.
• Ensure platform reliability through incident response and debt reduction.

Skills

Backend engineering

Go

Python

Java

Ruby

Distributed systems

Architectural design

Incident response

Team leadership

Generative AI governance

Job description

Coinbase is seeking a Senior Software Engineer for the Risk Engineering team within the Consumer & Business group. You will build and optimize real-time risk systems to detect fraud, manage credit and market risk, and protect millions of users in crypto markets.

You will lead end-to-end projects, drive architectural decisions, and mentor engineers while collaborating with Data Science, ML, Risk Analysts, Product, and Compliance.