Staff Software Engineer, Backend (Consumer - Prediction Markets)

Coinbase is building prediction markets as part of the Everything Exchange, letting millions of users trade on the outcomes of real-world events. As a Staff Software Engineer on the Prediction Markets team, you'll design and own the core backend systems that power market discovery, trading experiences, order management, and settlement.

Responsibilities:

• 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

Requirements:

• 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