Senior AI Infrastructure Engineer (Platform & Scale)

Coinbase, Inc.; Charlotte (NC); On-site; USD 186,000 - 219,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Software Engineer to drive AI transformation within the IT Operations team.

You will own the reliability and automation of AI infrastructure, build production-grade distributed systems, and partner across Platform and product groups to enable scalable AI capabilities. The role emphasizes architectural patterns, mentoring, observability, and delivering business-ready outputs with human oversight.

Qualifications

• 5+ years automating and supporting cloud infrastructure (AWS) and networks.
• Experience deploying, managing, and troubleshooting Docker and Kubernetes in production.
• Proficiency in Python, Bash, Ruby, or Go and Git-based CI/CD pipelines.
• Platform-builder mindset with proven history of designing reusable infrastructure, APIs, and abstractions adopted by multiple teams across an engineering organization.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Responsibilities

• Own end-to-end delivery of AI products by building production-grade distributed systems across the full stack.
• Drive platform adoption with clean APIs, abstractions, and developer-facing tooling.
• Collaborate with Platform and other teams to align infrastructure requirements and contracts.
• Shape engineering standards and elevate code quality, observability, and reliability across the org.
• Build full-stack applications powering internal AI products and infrastructure using Go or Python.

Skills

AWS Cloud

Automation experience

Python

Go

Bash

Git workflows

API design

Platform thinking

Generative AI usage

Tools

Terraform

Ansible

Chef

Puppet

Salt

Docker

Kubernetes

Job description

Coinbase, Inc. is seeking a Senior Software Engineer to drive AI transformation within the IT Operations team.

You will own the reliability and automation of AI infrastructure, build production-grade distributed systems, and partner across Platform and product groups to enable scalable AI capabilities. The role emphasizes architectural patterns, mentoring, observability, and delivering business-ready outputs with human oversight.