Software Engineer, Backend – Consumer, Risk

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and sustain backend services that facilitate risk identification, fraud prevention, and financial risk management across Coinbase's platform, functioning at the scale, speed, and 24/7 nature of cryptocurrency markets.

• Take ownership of feature delivery from start to finish, encompassing technical design, implementation, testing, deployment, and monitoring, for risk platform functionalities that safeguard users and the business against financial threats.

• Collaborate with Data Science, ML, and Risk Analysts teams to create both proactive systems (such as models and user-centric risk features) and reactive solutions (including one-off risk mitigations and incident response tools) aimed at minimizing fraud and financial loss.

• Enhance reliability and observability in risk platform services by establishing mechanisms to detect regressions, ensure quick visibility of issues, and participate in incident responses and post-mortem analyses.

• Foster the team’s engineering culture by upholding high code velocity, engaging in code reviews, and developing reusable solutions that can be utilized across the team.

⛳️ Requirements

• A minimum of 2 years of experience in backend software engineering, with a proven history of delivering production services that handle high-throughput workloads across multiple simultaneous projects.

• Proficiency in at least one backend programming language (e.g., Go, Ruby, Python, Java) and experience with relational and/or NoSQL databases, cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and event-streaming architectures (Kafka, RabbitMQ).

• A solid understanding of software design patterns, data structures, and algorithms, with the capability to independently manage complex tasks and navigate unfamiliar systems with guidance.

• Experience in building or working with high-throughput, low-latency distributed systems, including APIs, event-driven architectures, and cloud infrastructure.

• Familiarity with risk, fraud detection, payment systems (ACH, cards, crypto), blockchain technology (e.g., Bitcoin, Ethereum), or the specific risk challenges linked to cryptocurrency transactions.

• Responsible utilization of generative AI, ensuring human oversight to deliver business-ready outputs and achieve measurable enhancements in workflow efficiency, cost, and quality.

🏝️ Benefits

• Total compensation may include equity and bonus eligibility as well as benefits (including medical, dental, and vision).