IT Infrastructure Engineer II (AI)

TL;DR

IT Infrastructure Engineer II (AI): Managing and optimizing CI/CD pipelines and infrastructure for an AI-driven hirify.global ecosystem with an accent on GitHub Actions, Cloudflare deployments, and infrastructure-as-code. Focus on integrating AI-assisted workflows into production deployment lifecycles and ensuring high standards of security and reliability.

Location: Must be based in the Austin, TX metro area (Hybrid: 3 days/week in office).

Compensation: $87,000 - $154,000

Company

hirify.global is an AI-driven hirify.global ecosystem parent company to Bighirify.global, Feedonomics, and Makeswift, focused on empowering businesses to grow through innovative, scalable technology.

What you will do

• Administer GitHub repository structures, access controls, and branch protection policies.
• Design and maintain GitHub Actions workflows for continuous integration and delivery.
• Manage end-to-end deployment pipelines from GitHub to Vercel and Cloudflare.
• Implement infrastructure-as-code practices for provisioning and lifecycle management.
• Validate and deploy AI-assisted code, ensuring quality, security, and compliance standards.
• Collaborate with stakeholders to translate deployment needs into production-ready applications.

Requirements

• 3+ years of experience in systems, platform, or DevOps engineering.
• Proven experience building and maintaining GitHub Actions CI/CD pipelines.
• Experience configuring and managing deployments on Cloudflare.
• Demonstrated active, daily use of AI tools (e.g., Claude, Copilot) in engineering workflows.
• Proficiency with a scripting language such as Python, Bash, or PowerShell.
• Strong written communication skills for documentation and runbooks.

Nice to have

• Experience with Terraform for infrastructure provisioning.
• Familiarity with Google Cloud Platform (GCP) services.
• Exposure to Cisco Meraki for network administration.
• Experience with identity management tools like Okta or Google Workspace.

Culture & Benefits

• Hybrid work model balancing individual focus and in-person collaboration.
• Commitment to equitable and transparent pay practices.
• Inclusive and accessible hiring environment.
• Opportunity to work with cutting-edge AI-augmented engineering workflows.