Related skills
java python microservices distributed systems go📋 Description
- Lead design and delivery of complex risk features end-to-end (architecture to monitoring).
- Shape risk detection architectures balancing fraud prevention with UX.
- Collaborate with Data Science, ML, Risk, Product, and Compliance.
- Build AI-native risk systems to automate detection and response workflows.
- Mentor engineers, conduct code reviews, and promote best practices.
- Own reliability by addressing debt, triaging bugs, and leading post-mortems.
🎯 Requirements
- 5+ years backend software engineering in production.
- Proficient in Go, Ruby, Python, or Java; microservices and REST/GraphQL.
- Translate ambiguous requirements into clear technical plans.
- Lead end-to-end projects: scoping, design, monitoring, mentoring.
- Experience leading incident response, post-mortems, and HA improvements.
- Use generative AI with human oversight to improve workflows.
🎁 Benefits
- Equal Opportunity Employer; Coinbase encourages diverse applicants.
- Remote-friendly; quarterly in-person surges are possible.
- Accommodations available; contact accommodations@coinbase.com.
- US applicants rights and E-Verify notices provided.
- Data privacy and arbitration information available.
- AI tools may be used in screening; final decisions reviewed by humans.
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