Staff Software Engineer, EAA CX

Coinbase is a company on a mission to increase economic freedom. As a Staff Software Engineer, you will drive the evolution of Control Center, a platform for customer data operations, by leading architectural decisions and mentoring engineers while delivering high-impact capabilities.

Responsibilities:

• Own the architecture and delivery of foundational platform capabilities including MCP tool registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups to build on Control Center safely and at speed
• Drive Control Center's evolution into an AI-agent-ready, headless operations platform by designing MCP procedure constructs, agentic guardrails, HITL orchestration, and evaluation frameworks for secure autonomous operations
• Lead technical direction across the team in partnership with the Engineering Manager and Product, authoring TDDs, running design reviews, decomposing complex initiatives into deliverable milestones, and mentoring engineers through code review
• Build highly reliable, secure distributed backend services, owning SLO definitions, observability instrumentation, incident response, and operational readiness for Tier-1 systems serving thousands of internal users and AI agents
• Partner across EAA, Product Engineering, and Security Engineering teams to deliver cross-functional outcomes and drive shared platform primitives that eliminate duplicated infrastructure

Requirements:

• 8+ years of software engineering experience with a demonstrated track record architecting and delivering large-scale, high-traffic distributed systems, including deep proficiency in backend service design, API development (gRPC, MCP, GraphQL), and scalable microservices architectures
• Proven ability to independently lead ambiguous, high-impact technical initiatives from whiteboard to production, writing high-quality, well-tested code that sets the standard across multi-team problem spaces
• Hands-on experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching, and SQL or NoSQL databases
• Track record building secure, compliant internal tools or platforms with deep appreciation for security controls, access management, audit logging, and data governance in a regulated environment
• Experience building or integrating with agentic AI systems including MCP servers, LLM orchestration layers, RAG pipelines, HITL workflows, or evaluation and guardrail frameworks, with proficiency in Go and willingness to work across Python
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality