Infrastructure Automation Engineer (Metal)

TL;DR

Infrastructure Automation Engineer (Metal): Design and maintain automation frameworks using Ansible and AWX for provisioning and configuration of large-scale AI infrastructure across on-prem data centers and accelerator clusters with an accent on scalability, reliability, and repeatability. Focus on building playbooks and roles, integrating with CI/CD pipelines, automating compute nodes and networking, and troubleshooting pipelines in distributed environments.

Location: Hybrid in Toronto, ON; Austin, TX; or Santa Clara, CA. Employment contingent upon eligibility to access U.S. export-controlled technology; may require U.S. citizenship/permanent residency or license approval. Nationals of certain countries (EAR Groups D:1, E:1, E:2) may be excluded.

Compensation: $100k - $500k (base + variable, depending on experience, skills, location).

Company

hirify.global is building cutting-edge AI infrastructure, including high-performance RISC-V CPUs, compilers, platforms, and semiconductors for scalable AI solutions.

What you will do

• Design and maintain automation frameworks using Ansible and AWX for infrastructure provisioning and configuration.
• Build and manage playbooks, roles, inventories, and job templates for scalable system deployment.
• Automate infrastructure across compute nodes, networking components, and system services.
• Integrate automation workflows with internal tooling and CI/CD pipelines.
• Troubleshoot automation pipelines and collaborate with SRE and infrastructure teams on large-scale deployments.

Requirements

• Experienced in infrastructure automation, DevOps, or systems engineering in large-scale environments.
• Strong hands-on expertise with Ansible and AWX, including playbooks, roles, and automation workflows.
• Proficient in Python, Bash, or similar scripting languages for automation and tooling.
• Comfortable with Linux systems administration and debugging infrastructure issues.
• Familiar with networking fundamentals and CI/CD systems in distributed environments.
• Open to various experience levels; assessed during interviews.

Culture & Benefits

• Collaborative environment valuing curiosity and solving hard problems.
• Highly competitive compensation package and benefits.
• Equal opportunity employer.