Senior Backend Engineer, Risk – Real-Time Fraud (Remote)

Coinbase, Inc.; Richmond (VA); Remote; USD 167,000 - 205,000; Full time

Job summary

Coinbase is seeking a Senior Software Engineer, Backend (Consumer - Risk) to build and optimize risk detection systems at crypto-market scale. You will lead end-to-end projects, drive architectural decisions, and mentor engineers.

You will collaborate with Data Science, ML, Risk Analysts, Product, and Compliance to deliver real-time decisioning engines, model-driven protections, and reliable services that reduce fraud and financial loss.

Qualifications

• 5+ years of backend software engineering experience in production environments.
• Proficiency in backend languages (Go, Ruby, Python, or Java) and distributed architectures.
• Ability to translate ambiguous requirements into clear technical plans and architectures.
• Experience leading end-to-end projects with design, implementation, monitoring and mentoring.
• Experience leading incident response, post-mortems and driving reliability improvements.
• Responsible use of generative AI to improve workflows with human oversight.

Responsibilities

• Lead design and delivery of complex risk platform features end-to-end (architecture to deployment).
• Drive architectural decisions shaping risk detection and mitigation systems.
• Collaborate with Data Science, ML, Risk Analysts, Product and Compliance for real-time decisioning and compliance-driven controls.
• Build AI-native risk systems to automate detection and response workflows.
• Mentor engineers, perform rigorous code reviews, and promote engineering best practices.
• Own system quality and incident response, addressing technical debt and leading post-mortems.

Skills

Backend development

Distributed systems

Go/Ruby/Python/Java

Leadership

Incident response

Generative AI

Job description

Coinbase is seeking a Senior Software Engineer, Backend (Consumer - Risk) to build and optimize risk detection systems at crypto-market scale. You will lead end-to-end projects, drive architectural decisions, and mentor engineers.

You will collaborate with Data Science, ML, Risk Analysts, Product, and Compliance to deliver real-time decisioning engines, model-driven protections, and reliable services that reduce fraud and financial loss.