Staff Software Engineer — AI Platform & Tier-1 Systems

Coinbase, Inc.; Atlanta (GA); Remote; USD 218,000 - 257,000; Full time

Job summary

Coinbase is seeking a Staff Software Engineer to anchor EAA-CX platforms, leading AI maturity and developer-experience initiatives across 8 squads worldwide. You'll architect secure, scalable backend services, guide build-versus-buy strategies, and own SLOs, observability, and incident response in a regulated environment.

You’ll partner with engineering leadership to surface opportunities, drive platform excellence, and deliver high-quality, production-ready code across Go and Python ecosystems,

Qualifications

• 8+ years of software engineering experience delivering large-scale distributed systems.
• Lead ambiguous technical initiatives from whiteboard to production.
• Experience with cloud-native infrastructure (AWS, Kubernetes, Terraform).
• Security-conscious with audit logging and data governance in regulated environments.
• Experience with AI systems integration; proficient in Go and Python.

Responsibilities

• Own the EAA-CX AI maturity and developer-experience roadmap with squads.
• Lead platform excellence to improve reliability, observability, and SRE readiness.
• Define build-versus-buy strategy for developer experience and AI tooling.
• Provide staff-level architectural coverage across multiple squads.
• Build secure distributed backend services with full SLO ownership and incident response.

Skills

Backend service design

API development

Distributed systems

Cloud native

Security & governance

AI tooling integration

Go & Python

Tools

AWS

Kubernetes

Terraform

Kafka

CI/CD

Job description

Coinbase is seeking a Staff Software Engineer to anchor EAA-CX platforms, leading AI maturity and developer-experience initiatives across 8 squads worldwide. You'll architect secure, scalable backend services, guide build-versus-buy strategies, and own SLOs, observability, and incident response in a regulated environment.

You’ll partner with engineering leadership to surface opportunities, drive platform excellence, and deliver high-quality, production-ready code across Go and Python ecosystems,