Senior Backend Engineer, Risk - AI-Driven Systems (Remote-First)

Coinbase, Inc.; Lincoln (NE); Remote; USD 167,000 - 205,000; Full time

Job summary

Coinbase is seeking a Senior Software Engineer, Backend (Consumer - Risk) to lead end-to-end risk platform features and architecture. You will collaborate with Data Science, ML, Risk Analysts, Product, and Compliance to build real-time, scalable risk defenses for millions of users.

You will mentor engineers, drive incident response and post-mortems, and shape engineering practices across the codebase while delivering high-availability systems with a strong focus on correctness and performance.

Qualifications

• 5+ years of backend software engineering experience
• Experience designing distributed systems including microservices
• Proven ability to translate ambiguous requirements into architectures
• Track record leading end-to-end projects with long-term impact
• Experience leading incident response and post-mortems
• Utilizes generative AI responsibly with human oversight

Responsibilities

• Lead the design and delivery of complex risk platform features end-to-end
• Drive architectural decisions for risk detection and mitigation systems
• Partner with Data Science, ML, Risk Analysts, Product, and Compliance teams
• Build AI-native risk systems to automate detection and response
• Mentor engineers, conduct code reviews, write technical docs
• Own system quality and operational excellence, drive incident response and post-mortems

Skills

Backend engineering

Distributed systems

Go/Ruby/Python/Java

Mentoring engineers

Incident response

Generative AI usage

Tools

REST APIs

GraphQL

Job description

Coinbase is seeking a Senior Software Engineer, Backend (Consumer - Risk) to lead end-to-end risk platform features and architecture. You will collaborate with Data Science, ML, Risk Analysts, Product, and Compliance to build real-time, scalable risk defenses for millions of users.

You will mentor engineers, drive incident response and post-mortems, and shape engineering practices across the codebase while delivering high-availability systems with a strong focus on correctness and performance.