AI DevOps Engineer

As an AI DevOps Engineer at Ingersoll Rand, you will design, build, and operate the production infrastructure that powers AI-driven applications across the enterprise. You will focus on DevOps, cloud infrastructure, CI/CD, observability, and platform reliability for GenAI systems built on LLM APIs and Snowflake-native capabilities.

Requirements

• 3+ years in DevOps, platform engineering, or software infrastructure roles
• 1-2+ years specifically with ML/AI infrastructure or MLOps
• Experience operating LLM-based applications in production
• Strong experience with CI/CD pipelines (GitHub Actions preferred)
• Hands-on experience with containerized applications (Docker; Kubernetes or managed container platforms)
• Experience operating workloads on GCP or similar cloud platforms
• Proficiency with Infrastructure-as-Code tools (Terraform or equivalent)
• Strong scripting skills (Python and/or Bash)
• Experience implementing monitoring, logging, and observability for production systems
• Experience supporting API-based applications and integrations
• Ability to troubleshoot and operate complex distributed systems
• Strong communication skills and ability to collaborate across technical and business teams
• Fluent in English (written and spoken)

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance