Staff AI Infrastructure Engineer – Platform & Automation

Coinbase

Providence (RI)

Hybrid

USD 218,000 - 257,000

Full time

14 days+
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Job summary

Coinbase is seeking a Staff Software Engineer for Core AI Infrastructure on the IT Operations team to own the reliability and automation of AI infrastructure at scale. You will build production-ready distributed systems, APIs, and tooling, collaborating with product leadership acrossPlatform and other groups to align requirements and drive platform adoption.

The role emphasizes architectural patterns, mentorship, and delivering high-quality, observability-focused code in Go or Python within a

Qualifications

  • 8+ years of experience automating and supporting cloud infrastructure (AWS) and networks.
  • Production-grade Docker and Kubernetes experience in a live environment.
  • Proficiency in Python, Bash, Ruby, or Go and Git-based CI/CD workflows.
  • Platform-builder mindset with reusable infrastructure and API design.
  • Generative AI usage with human oversight to improve workflows.

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 tooling.
  • Coordinate with platform and product teams to align infrastructure requirements and define contracts.
  • Shape engineering standards and mentor engineers on observability and reliability.
  • Build full-stack apps powering internal AI products and infrastructure using Go or Python.

Skills

AWS & Cloud Infra
IaC Tools
Docker & Kubernetes
Programming Languages
Platform Design
AI Governance

Tools

Terraform
Ansible
Chef
Puppet
Salt
Docker
Kubernetes
Git/CI-CD

Job description

Coinbase is seeking a Staff Software Engineer for Core AI Infrastructure on the IT Operations team to own the reliability and automation of AI infrastructure at scale. You will build production-ready distributed systems, APIs, and tooling, collaborating with product leadership acrossPlatform and other groups to align requirements and drive platform adoption.

The role emphasizes architectural patterns, mentorship, and delivering high-quality, observability-focused code in Go or Python within a

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