Staff AI Infrastructure Engineer — Build Scalable, Reliable Platforms

Coinbase, Inc.; United States; Hybrid; USD 218,000 - 257,000; Full time

Job summary

Coinbase, Inc. is seeking a Staff Software Engineer in Core AI Infrastructure to own the reliability and automation of AI infrastructure at scale. The role focuses on building production-grade infrastructure, APIs, and tooling to empower AI product teams.

The team emphasizes full-stack development using Go or Python, cloud-native patterns, and strong emphasis on observability, reliability, and security. This is a remote-first, hybrid role with quarterly in-person surges and collaboration with

Qualifications

• 8+ years of experience automating and supporting cloud infrastructure (AWS) with IaC tools (Terraform, Ansible, Chef, Puppet or Salt).
• Proven experience deploying, managing, and troubleshooting containerized workloads with Docker and Kubernetes in production.
• Proficiency in Python, Bash, Ruby or Go and Git-based CI/CD workflows.
• Platform-builder mindset with history of reusable infrastructure, APIs, and abstractions adopted across teams.
• Utilizes generative AI responsibly with human oversight to improve workflow efficiency, cost, and quality.

Responsibilities

• Own end-to-end delivery of AI products by building production-grade distributed systems.
• Design clean APIs, abstractions, and developer tooling for AI integration with minimal bespoke infra.
• Partner with Platform and product teams to align infra requirements and shared contracts.
• Define engineering standards, mentor engineers, and improve observability and reliability.
• Build full-stack applications powering internal AI products using Go or Python.

Skills

AWS

Docker

Kubernetes

Go

Python

Ruby

Bash

CI/CD

Tools

Terraform

Ansible

Chef

Puppet

Salt

Git

Job description

Coinbase, Inc. is seeking a Staff Software Engineer in Core AI Infrastructure to own the reliability and automation of AI infrastructure at scale. The role focuses on building production-grade infrastructure, APIs, and tooling to empower AI product teams.

The team emphasizes full-stack development using Go or Python, cloud-native patterns, and strong emphasis on observability, reliability, and security. This is a remote-first, hybrid role with quarterly in-person surges and collaboration with