Staff Software Engineer (Tech Lead, Backend - Platform (Overseer)

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Overseer is Coinbase's business integrity layer, making the financial contracts between systems explicit and detecting violations before they become incidents. As a Staff Software Engineer on the Overseer team within the Platform product group, you'll define the long-term technical vision for the platform that enforces correctness across every fund flow Coinbase processes. The gap between "each service works" and "the system is correct" compounds with every product shipped, every market entered, and every settlement mechanism built - you'll ensure Coinbase's correctness infrastructure scales years ahead of that growth. What you'll do: 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 reliabi