Staff Software Engineer

Responsibilities

• Own the multi-quarter technical strategy, architecture, and roadmap for the Overseer platform, including the invariant definition framework, real-time detection engine, and partner-facing APIs.
• Lead the design and execution of company P0 initiatives end-to-end, serving as the senior DRI accountable for delivery, trade-offs, and organizational alignment across product groups.
• Drive an architecture where every new product shipped accelerates the correctness layer rather than adding complexity, setting precedents that influence platform design across FinHub.
• Shape engineering standards and technical culture across the team and broader FinHub organization through design reviews, architectural RFCs, and raising the bar on code quality and system reliability.
• Partner with senior engineering and product leadership across product groups to align correctness requirements, resolve cross-team technical dependencies, and define shared platform contracts.
• Build next-generation AI-powered guardrails and real-time invariant enforcement capabilities, identifying opportunities to apply AI-first approaches that scale correctness across Coinbase's expanding fund movement infrastructure.

Requirements

• 8+ years of experience designing, building, and operating fault-tolerant, high-reliability distributed systems at scale, with a track record of influencing technical direction beyond your immediate team.
• Demonstrated experience as a technical lead owning architecture decisions, multi-quarter roadmaps, and cross-team initiatives that impacted organization-level outcomes.
• Platform-builder mindset - proven history of building infrastructure other teams depend on, defining platform contracts, and scaling systems that support multiple product areas simultaneously.
• Deep expertise in backend programming (e.g., Go, Python, Java) and designing systems for correctness, performance, and scalability in financial or high-stakes distributed environments.
• Track record of elevating team and org-level technical quality through mentorship, architectural standards, engineering process improvements, and senior hiring contributions.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.