Staff Software Engineer, AI Platform & Secure Backend

Coinbase, Inc.; Denver (CO); Remote; USD 218,000 - 257,000; Full time

Job summary

Coinbase is seeking a Staff Software Engineer to anchor eight engineering squads within the Enterprise Applications and Architecture group, focusing on AI maturity, developer experience, and secure, scalable backend services.

You will own the AI tooling roadmap, drive reliability and observability improvements, and shape architecture and delivery across cloud-native stacks, using Go and Python in a regulated environment.

Qualifications

• 8+ years of software engineering experience with a track record architecting and delivering large-scale distributed systems.
• Ability to independently lead ambiguous, high-impact technical initiatives from whiteboard to production.
• Strong experience with cloud-native infrastructure (AWS, Kubernetes, Terraform, CI/CD).
• Experience building secure internal tools or platforms with strong data governance.

Responsibilities

• Own the EAA-CX AI maturity and developer-experience roadmap with engineering leadership.
• Lead platform-excellence workstreams to improve reliability, observability, change-failure rate, and operational readiness for Tier-1 systems.
• Define build-versus-buy strategy for developer-experience and AI tooling across EAA-CX.
• Provide Staff-level architectural coverage across squads facing complex challenges.
• Build highly reliable, secure distributed backend services with full SLO ownership and governance.

Skills

Backend design

Distributed systems

System architecture

Leadership

Communication

Tools

Go

Python

AWS

Kubernetes

Terraform

Kafka

GraphQL

gRPC

SQL/NoSQL

Job description

Coinbase is seeking a Staff Software Engineer to anchor eight engineering squads within the Enterprise Applications and Architecture group, focusing on AI maturity, developer experience, and secure, scalable backend services.

You will own the AI tooling roadmap, drive reliability and observability improvements, and shape architecture and delivery across cloud-native stacks, using Go and Python in a regulated environment.