Staff Software Engineer, Customer AdministrationActive$46K–$183K

The opportunity

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.

What you'll do

  • Architect and deliver foundational platform capabilities including MCP tool: registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups across Coinbase to build on the platform safely and at speed

  • Drive the evolution of Control Center into an AI-agent-ready, headless: operations platform, designing and implementing MCP procedure constructs, agentic guardrails, HITL orchestration, and evaluation frameworks that enable both human and autonomous AI agents to execute sensitive customer operations securely

  • Partner with the Engineering Manager and Product counterparts to define: architectural roadmaps, author TDDs, lead design reviews, decompose complex initiatives into deliverable milestones, and raise the engineering quality bar through code review and mentorship

  • Build and maintain highly reliable, secure, distributed backend services,: owning SLO definitions, observability instrumentation, incident response, and operational readiness for Tier-1 platform systems

  • Collaborate across EAA engineering teams, Product Engineering, and Security: Engineering to deliver cross-functional outcomes and drive shared platform primitives that eliminate duplicated infrastructure across the portfolio

  • + years of hands-on software engineering experience, with a demonstrated: track record of architecting and delivering large-scale, high-traffic distributed systems in production, including deep proficiency in backend service design, API development (gRPC, MCP, GraphQL), and scalable microservices architectures

What they're looking for

  • Proven ability to independently lead ambiguous, high-impact technical: initiatives from whiteboard to production, writing high-quality, well-tested code and setting the standard for others across complex, multi-team problem spaces
  • Strong experience with cloud-native infrastructure and the modern backend: stack: AWS, Kubernetes, Terraform, BuildKite/CircleCI, event-driven architectures (Kafka, MQ), distributed caching (Redis/Memcached), and proficiency in SQL and/or NoSQL databases
  • Track record of building secure, compliant internal tools or platforms, with: deep appreciation for security controls, access management, audit logging, data governance, and engineering rigor in a regulated financial services environment
  • Experience building or integrating with agentic AI systems, including MCP: servers, LLM orchestration layers, RAG pipelines, HITL workflows, or evaluation and guardrail frameworks for production agentic workloads