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
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.
+ 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.
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 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.