Coinbase
Coinbase

Staff Software Engineer, Backend (Consumer - Prediction Markets)

engineeringfull-timeRemote - USA
SALARY
$218k+/yr
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
crypto
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About the role

What you’ll do:

  • Own the design, development, and reliability of backend systems that power order management, trade matching, settlement, and market resolution for prediction markets
  • Architect distributed systems that enforce strict correctness guarantees across clearing, payout, and position management workflows
  • Drive the technical strategy for migrating from third-party venue participation to a fully Coinbase-operated exchange and clearing platform
  • Lead cross-functional collaboration with Product, Compliance, and Risk teams to ensure the platform meets regulatory requirements and launches with confidence
  • Shape engineering standards and practices across the Prediction Markets team, setting a high bar for code quality, system design, and operational rigor
  • Partner with engineers across Consumer & Business to identify shared infrastructure opportunities and reduce duplication across trading surfaces

Required skills and experience:

  • 8+ years of backend software engineering experience, with demonstrated ownership of high-availability, low-latency distributed systems in production
  • Proven track record designing systems where financial correctness is non-negotiable, such as order management, settlement, clearing, or ledger systems
  • Experience leading complex, multi-quarter technical projects as the senior technical decision-maker, including architecture design, trade-off analysis, and cross-team coordination
  • Deep proficiency in at least one backend language (e.g., Go, Java, or similar) and strong fundamentals in distributed systems, concurrency, and data modeling
  • Track record of mentoring and elevating engineers across a team, raising standards for design reviews, code quality, and incident response
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
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