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Staff Software Engineer (Policies Platform - Identity)

Coinbase - Atlanta, GA

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Job Description

Ready to be pushed beyond what you think youu2019re capable of? At Coinbase, our mission is to increase economic freedom in the world. Itu2019s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform u2014 and with it, the future global financial system. To achieve our mission, weu2019re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the companyu2019s hardest problems. Our [work culture](is intense and isnu2019t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, thereu2019s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. We're hiring a Staff Software Engineer to be the technical anchor for the Policies Platform u2014 Coinbase's foundational engine for policy management, decisioning, and authorization. As a Staff Engineer on the Policies Platform, you'll be a technical anchor for one of Coinbase's most critical infrastructure teams. You'll set the technical direction for the platform's evolution, leading the shift to an AI-native, self-serve policy engine while building alignment across engineering, compliance, legal, and product teams. Your decisions will shape how dozens of engineering teams across Coinbase author, deploy, and trust compliance logic at scale. The Policies Platform powers policy management, decisioning, and authorization across 20+ domains and 40+ dependent services, handling millions of requests per minute. This role requires someone who can operate in ambiguity, drive clarity, and build systems that create leverage far beyond any single team. What you'll be doing: Own the technical strategy and architecture for the Policies Platform u2014 including the AI-native policy authoring system, Policy Framework v2, edge authorization, and the self-serve developer experience. Define and drive the technical roadmap, making deliberate tradeoffs between speed, reliability, and long-term scalability as the platform expands to support new Coinbase products and international regulatory requirements. Lead the most ambiguous, highest-risk initiatives on the team u2014 including AI-powered impact simulation before policy changes ship, AI chatbot for compliance self-service, and embedding authorization into API gateway-level signed tokens. Secure cross-team alignment and commitment u2014 working with 20+ dependent domain teams, regulatory/compliance stakeholders, and engineering leadership to drive adoption of new platform standards and patterns. Define engineering processes and quality practices u2014 from code review standards for policy-as-code, to CI/CD pipeline requirements for automated load and regression testing. Maintain high technical output while simultaneously elevating the capabilities of the broader team u2014 you lead by doing, not just advising. Contribute to org-wide initiatives including OKR planning, technical prioritization, and long-term platform strategy in partnership with engineering leadership. What we look for in you: 8+ years of software engineering experience, with a track record of architecting and delivering systems at scale u2014 high-throughput, high-availability services serving millions of requests in production. Proven experience leading AI/LLM product development u2014 building AI agents, code generation systems, or developer-facing AI tooling in production environments. Strong command of Go, gRPC, Kubernetes, and service mesh architectures. Ability to drive technical clarity in ambiguous, high-stakes situations u2014 you can take a vague problem (

Created: 2026-03-23

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