Used Tools & Technologies
Machine Learning GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Data Science @ 4
Leadership @ 4
Microservices @ 4
API @ 4
Fraud @ 4
GraphQL @ 4
Compliance @ 4
Generative AI @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At Coinbase you will help protect millions of users from fraud, financial crime, and financial risk. Coinbase is remote-first (not remote-only); candidates should expect quarterly in-person working sessions called “surges.” This role sits on the Risk Engineering team within the Consumer & Business group and serves as the technical anchor for risk systems that operate at the scale and speed of crypto markets.
Responsibilities
- Own the end-to-end technical architecture of Coinbase's Risk Platform, including real-time fraud detection engines, risk decisioning systems, financial risk monitoring, and mitigation infrastructure operating at high throughput with low latency and 24x7 availability.
- Shape multi-quarter technical strategies for the Risk Platform, identifying opportunities to simplify complexity, improve reliability, reduce fraud losses, and scale risk capabilities across new products, asset classes, and jurisdictions.
- Lead the design and implementation of critical risk systems, translating ambiguous, high-stakes business requirements into scalable, resilient architectures that balance fraud prevention with user experience.
- Partner cross-functionally with Data Science, ML, Product, Compliance, and senior leadership to define the roadmap and ensure the risk platform evolves ahead of emerging threats and regulatory requirements.
- Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention.
- Strengthen the team's technical capability through architecture reviews, code reviews, engineering standards for quality and performance, and hands-on mentorship of engineers at all levels.
Requirements
- 8+ years of backend software engineering experience with significant experience architecting and developing high-throughput, low-latency production systems at scale.
- Deep expertise in backend systems design (microservices, event-driven architectures, REST/GraphQL APIs) with a track record of building systems that meet high-availability and correctness requirements.
- Proven ability to define and execute multi-quarter technical strategies, influence engineering direction across teams, and translate ambiguous problem spaces into clear, actionable technical plans.
- Experience architecting solutions for complex, high-stakes domains where correctness, latency, and reliability are critical, delivering impactful systems that operate at scale.
- Demonstrated success raising the technical bar for a team through architectural guidance, engineering culture improvements, and mentorship of senior engineers with measurable outcomes.
- Experience utilizing generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Benefits & Compensation
- Annual base salary range (excluding equity and bonus): $217,900 CAD — $217,900 CAD.
- Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
Other information
- Remote - Canada (role is remote-first; #LI-Remote).
- Application limit: candidates may submit a maximum of 3 applications within a 6-month period.
- Coinbase is an Equal Opportunity Employer and provides accommodations for applicants with disabilities.
- Internal code: P77062.