Staff Software Engineer, EAA CX

Coinbase

Staff Software Engineer responsible for architecting the Control Center platform at Coinbase. Engage with multiple teams to enhance operational capabilities and drive technical decisions.

Posted 6/8/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $218,025 - $256,500 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoKafkaKubernetesNoSQLPythonRedisSQLTerraform

About the role

Key responsibilities & impact

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
Drive the evolution of Control Center into an AI-agent-ready, headless operations platform by designing and implementing MCP procedure constructs, agentic guardrails, HITL orchestration, and evaluation frameworks
Lead technical direction across the team in partnership with the Engineering Manager and Product
Build highly reliable, secure distributed backend services, owning SLO definitions, observability instrumentation, incident response, and operational readiness for Tier-1 systems
Partner across EAA engineering, Product Engineering, and Security Engineering teams to deliver cross-functional outcomes

Requirements

What you’ll need

8+ years of software engineering experience with a demonstrated track record architecting and delivering large-scale, high-traffic distributed systems
Proven ability to independently lead ambiguous, high-impact technical initiatives from whiteboard to production as a technical owner across complex, 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 (Redis/Memcached), 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 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.

Benefits

Comp & perks

medical
dental
vision
401(k)

ATS Keywords

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Hard Skills & Tools

software engineeringcloud-native infrastructureAWSKubernetesTerraformCI/CD pipelinesevent-driven architecturesdistributed cachingSQL databasesNoSQL databases

Soft Skills

leadershiptechnical ownershipcross-functional collaborationproblem-solvingcommunication