Staff Software Engineer, Backend - FinHub (Ledger)

Coinbase is a leading financial technology company on a mission to increase economic freedom. As a Staff Engineer on the FinHub - Ledger team, you will own the architectural direction of core ledgering systems, making critical technical decisions and leading high-impact projects to enhance financial accuracy and reliability.

Responsibilities:

• 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
• Provide deep technical mentorship, guide design decisions, and develop senior engineers across the team
• Shape the team's technical roadmap by collaborating with engineering leadership to identify high-leverage investments and anticipate scaling bottlenecks
• Embed AI into engineering and operational practices to drive system improvements and workflow efficiency

Requirements:

• 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
• 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