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Staff Software Engineer (EAA CX)

Coinbase · United States

External listingfull-timeabout 2 months ago

About The Role

Join Coinbase as a Staff Software Engineer in the Customer Administration Engineering (CAE) team. You will be a technical anchor for the team, driving the evolution of Control Center into a modular, AI-agent-ready operations platform. You will lead architectural decisions, mentor engineers, and deliver high-impact platform capabilities. You will also build highly reliable, secure distributed backend services and partner with other engineering teams to deliver cross-functional outcomes.

  • Architect and deliver foundational platform capabilities, including MCP tool registries, AI orchestration layers, risk-based access automation.
  • Drive the evolution of Control Center into an AI-agent-ready, headless operations platform by designing and implementing MCP procedure constructs.
  • Lead technical direction across the team in partnership with the Engineering Manager and Product, authoring TDDs, running design reviews.
  • 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
  • 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 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, 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
  • Hands-on experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching (Redis/Memcached), and SQL or NoSQL databases
  • Proven ability to independently lead ambiguous, high-impact technical initiatives from whiteboard to production as a technical owner across complex, multi-team problem spaces, writing high-quality, well-tested code that sets the standard for others

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