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Job Description
Benefits: 401(k) AI Infrastructure Engineer / MLOps San Francisco Bay Area, CA (100% Onsite) EITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine learning platforms running in cloud native environments.
Responsibilities:
  • Design, deploy, and support scalable AI/ML infrastructure platforms
  • Manage Kubernetes environments running in AWS EKSBuild 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
Required Skills:
  • 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 EKS5+ years of infrastructure automation using Ansible
  • Experience supporting production-scale distributed systems
  • Strong troubleshooting and performance optimization skills
  • Experience working in enterprise environments
Preferred Skills:
  • 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

Also on the board Same function, level within a rung

Level

Lead

Location

Millbrae, CA

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

yesterday

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