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