Senior Staff Technical Architect (Unified Trading)
Posted Updated
- Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world’s largest financial institutions trade across markets with speed, depth, and trust
- As a Risk Architect on the Trading team, you’ll design, build, and own the real-time risk engine at the heart of a unified trading platform: cross-asset user and portfolio risk evaluated in real time on the core trading system that serves our Retail, Prime, and wholesale brokerage customers
- It’s a rare chance to architect risk infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase
- Own the architecture of the real-time, cross-asset risk and margin engine: user and portfolio modeling, multifactor and borrow risk, and cross-portfolio evaluation at scale
- Design low-latency, high-throughput risk systems, keeping correctness and performance in step with a growing trading platform
- Drive reliability and performance, owning SLOs, observability, and incident response for risk-critical systems
- Set the technical bar through code, design reviews, and standards, and pay down the technical debt that matters most
- Serve as the risk-architecture anchor for the team, mentoring engineers and reducing single-point-of-failure risk
- Partner cross-functionally with Product, Trading, Financing/Credit Risk, Security, and Compliance to turn technical vision into a roadmap
- Experience making decisions that balance engineering trade-offs with end-user quality, demonstrated through shipped products
- Deep proficiency in low-latency Java and high-throughput messaging (Aeron, SBE, or similar), designing event-driven, high-availability systems
- Hands-on architect, able to design, build, deploy, and support 24/7 risk systems that process billions of dollars of transactions daily
- Experience with multifactor and borrow risk, margin, or clearing in a regulated or financial environment where correctness, auditability, and low-latency performance are critical
- Experience delivering projects end-to-end: scoping, architecture, implementation, monitoring, and iteration
- Responsible use of generative AI, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
- Extensive backend engineering experience, with demonstrated ownership of complex, production-grade distributed systems
- Track record of architecting a cross-asset risk system (crypto, equities, FCM, or derivatives) with user/portfolio modeling and real-time, cross-portfolio evaluation at scale