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Staff Software Engineer (Backend, Financial Hub, Ledger)

Coinbase · United States

External listingfull-time6 days ago

About The Role

Join Coinbase as a Staff Software Engineer on the FinHub - Ledger team. You'll be responsible for the architectural direction of Coinbase's core ledgering systems, driving platform improvements, and leading high-impact cross-functional projects. You'll also provide technical mentorship, shape the team's technical roadmap, and embed AI into engineering practices. The ideal candidate has 8+ years of experience building large-scale distributed systems, deep expertise in backend programming, and a proven track record in designing high-performance systems.

  • Architect and build foundational backend systems with a focus on performance, scalability, and reliability across ledgering and transaction processing infrastructure.
  • Drive strategic technical direction for complex, cross-team initiatives spanning engineering, product, and finance.
  • Establish and evolve platform best practices, frameworks, and architectural standards that raise the quality bar for the broader engineering organization.
  • Demonstrated ability to lead cross-functional technical initiatives, mentor engineers, and translate complex technical concepts into clear, actionable solutions for technical and non-technical stakeholders
  • Hands-on experience with technologies such as Go, Kubernetes, and Postgres, with the ability to anticipate scaling bottlenecks and drive proactive architectural improvements
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
  • 8+ years building and operating large-scale distributed systems in production, with deep expertise in backend programming (e.g., Go, Python, Java) and cloud-native architecture
  • Proven track record designing highly available, high-performance systems, including experience with ledgering, trading systems, or high-precision transaction processing

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