Remote with Travel // AI Engineer DevOps , Site Reliability

Talent Groups; United States; On-site; USD 70,000 - 90,000; Full time

Job summary

A technology support firm located in the United States is seeking an experienced individual for an engineering role. Responsibilities include administering AI developer tools, building automation scripts, and collaborating with vendors for successful product rollouts. Ideal candidates possess knowledge of Linux/Unix, scripting in Python or Bash, and have hands-on experience with AI tools like Cursor and Copilot. Strong communication skills are essential for working with developer teams and gathering requirements.

Qualifications

• 3-5 years in engineering, DevOps, platform operations, or IT support.
• Hands-on with AI developer tools like Cursor, Windsurf, or Copilot.
• Understanding REST APIs and automation using Python or Bash scripting.

Responsibilities

• Administer and support AI Code Assistant tools.
• Drive vendor collaboration for product rollouts.
• Build automation scripts for reporting and platform operations.

Skills

Linux/Unix administration

Python

Bash scripting

GitHub

REST APIs

AI developer tools experience

Communication skills

Tools

Cursor

Windsurf

Copilot

GitHub Actions

Jenkins

Artifactory

Job description

Responsibilities

• 3–5 years of experience in engineering, DevOps, platform operations, or IT support.
• Hands on experience with AI developer tools such as Cursor, Windsurf, Copilot, or similar coding assistants.
• Experience with Linux/Unix administration and Python or Bash scripting for automation.
• Familiarity with GitHub, Git workflows, and common developer tools.
• Understanding of REST APIs and ability to use them for queries or reporting tasks.
• Strong communication skills, especially working directly with developers, gathering requirements, and supporting adoption.
• Administer, configure, and support AI Code Assistant tools (Cursor, Windsurf, Copilot, Codex), including onboarding, policy configuration, usage insights, and troubleshooting.
• Driving vendor collaboration for successful product and feature rollouts
• Build automation scripts (Python or Bash) to streamline reporting, data collection, and platform operations.
• Assist with basic DevOps platform tasks related to GitHub Enterprise, GitHub Actions, and similar tools.
• Monitor usage patterns, adoption metrics, and performance of AI developer tools.
• Automate infrastructure provisioning using configuration management tools
• Provide clear documentation, FAQs, and quick start guides to help scale adoption across the enterprise.
• Escalate and collaborate with senior engineers on complex issues or platform enhancements.
• Support socialization and rollout efforts by partnering with developer teams
• Exposure to DevOps tools such as GitHub Actions, Jenkins, or Artifactory.
• Experience with dashboards, data visualization, or usage metrics preferred.
• Basic understanding of cloud services or containerization (AWS, Docker, etc.) is a plus.