Staff Software Engineer, EAA CX

Role Overview

The Customer Experience (EAA-CX) sub-organization within Coinbase's Enterprise Applications and Architecture (EAA) group builds and operates Tier-1 platforms powering internal investigative and support workflows for ~7,000 specialists across CX, Compliance, Legal, Global Investigations, and Trust and Risk.

As a Staff Software Engineer, you will serve as a technical anchor across 8 globally distributed EAA-CX engineering squads, identifying AI and developer-experience opportunities, architecting solutions on production AI infrastructure, and driving platform excellence.

What You'll Do

• Own the EAA-CX AI maturity and developer-experience roadmap in partnership with engineering leadership.
• Lead platform excellence workstreams improving reliability, observability, change-failure rate, and operational readiness for Tier-1 systems.
• Define build-versus-buy strategy for developer-experience and AI tooling across EAA-CX.
• Provide Staff-level architectural coverage across squads facing complex challenges.
• Build highly reliable, secure distributed backend services with full SLO ownership, observability, and incident response in a regulated environment.

Required Skills and Experience

• 8+ years of software engineering experience architecting and delivering large-scale distributed systems, with 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 across multi-team problem spaces.
• Strong 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/guardrail frameworks, with proficiency in Go and willingness to work across Python.
• Ability to utilize generative AI responsibly with human oversight to deliver business-ready outputs.

Application Rules

• Candidates may submit a maximum of 3 applications within a 6-month period.