AI Infrastructure Engineer / MLOps
Cb•San Francisco, CA
•Onsite
About The Position
EITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine learning platforms running in cloud native environments.
Requirements
- 10+ years of Linux systems administration and engineering experience
- 10+ years of Python development and automation experience
- 5+ years of Kubernetes administration and operations
- 5+ years of AWS cloud experience, including AWS EKS
- 5+ years of infrastructure automation using Ansible
- Experience supporting production-scale distributed systems
- Strong troubleshooting and performance optimization skills
- Experience working in enterprise environments
Nice To Haves
- Experience with MLOps platforms and machine learning infrastructure
- Exposure to Agentic AI architectures and AI orchestration frameworks
- Experience supporting LLM-based applications and AI workloads
- Knowledge of infrastructure-as-code and DevOps best practices
- Experience with monitoring, logging, and observability platforms
Responsibilities
- Design, deploy, and support scalable AI/ML infrastructure platforms
- Manage Kubernetes environments running in AWS EKS
- Build and maintain infrastructure automation using Python and Ansible
- Support MLOps workflows including model deployment, monitoring, and operationalization
- Troubleshoot complex Linux-based production environments
- Partner with engineering teams to improve platform reliability, scalability, and performance
- Implement observability, monitoring, and operational best practices across AI systems
- Support modern AI architectures and agent-based workflows
Benefits
- 401(k)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
