Remote-First Staff Software Engineer - AI Platform

Coinbase, Inc.

Springfield (IL)

Hybrid

USD 218,000 - 257,000

Full time

14 days+
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Job summary

Coinbase is seeking a Staff Software Engineer (EAA-CX) to anchor architectural efforts across globally distributed squads. You will shape the AI maturity roadmap, drive platform excellence, and define build-versus-buy decisions for AI tooling, all while maintaining strict security and operational standards.

The role emphasizes leading high-impact initiatives end-to-end, delivering scalable backend services with robust observability and production safety in a regulated environment.

Qualifications

  • 8+ years of software engineering experience with large-scale distributed systems.
  • Proven ability to lead ambiguous, high-impact technical initiatives from whiteboard to production.
  • Strong experience with cloud-native infra including AWS, Kubernetes, Terraform, CI/CD, and event-driven architectures.
  • Experience building secure internal tools or platforms with data governance and security controls.

Responsibilities

  • Own the EAA-CX AI maturity and developer-experience roadmap, collaborating with leadership and squads to surface opportunities.
  • Lead platform excellence workstreams to improve reliability, observability, and operational readiness for Tier-1 systems.
  • Define build-versus-buy strategy for AI tooling and developer-experience across EAA-CX.
  • Provide staff-level architectural coverage across squads, ensuring portfolio-wide coherence.
  • Build and operate highly reliable distributed backend services with full SLO ownership and secure production changes.

Skills

Backend design
API development
Distributed systems
Go
Python
AWS
Kubernetes
Terraform
CI/CD
GraphQL
Security

Tools

MCP servers
Kafka
MQ

Job description

Coinbase is seeking a Staff Software Engineer (EAA-CX) to anchor architectural efforts across globally distributed squads. You will shape the AI maturity roadmap, drive platform excellence, and define build-versus-buy decisions for AI tooling, all while maintaining strict security and operational standards.

The role emphasizes leading high-impact initiatives end-to-end, delivering scalable backend services with robust observability and production safety in a regulated environment.

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