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Coinbase

Staff Software Engineer, Backend (Consumer - Risk)

Posted An Hour Ago
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Remote
Hiring Remotely in Canada
Senior level
Easy Apply
Remote
Hiring Remotely in Canada
Senior level
Lead architecture and implementation of Coinbase's Risk Platform: build high-throughput, low-latency real-time fraud detection, decisioning, and mitigation systems. Define multi-quarter technical strategy, partner with Data Science/ML/Product/Compliance, implement AI-native agent-driven workflows, and mentor engineers to improve reliability, performance, and scale.
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Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

As a Staff Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll serve as the technical anchor for the team that protects Coinbase and millions of users from fraud, financial crime, and financial risk. You'll define multi-quarter technical strategies, shape the architecture of our most critical risk systems, and lead the engineering team that builds real-time detection, decisioning, and mitigation infrastructure operating at the scale and speed of crypto markets. Your architectural decisions will determine how effectively we protect users and the business as Coinbase scales globally.

What you'll do:

  • 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

Required Skills and Experience:

  • 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
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

P77062

#LI-Remote

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):
$217,900$217,900 CAD
  • Application Limit: Candidates may submit a maximum of 4 applications per 30-day period.
  • Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
  • US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
  • Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
  • Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
  • AI Disclosure: Coinbase may use AI tools for initial screening or note-taking, reviewed by a human recruiter. AI is not used to make final hiring decisions. Email accommodations[at]coinbase.com to request an accommodation.

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An Hour Ago
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Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.
Top Skills: Event-Driven ArchitectureGenerative AiGoGraphQLJavaMicroservicesPythonRest ApisRuby

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