AI Infrastructure Engineer / MLOps

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 platformsManage Kubernetes environments running in AWS EKSBuild and maintain infrastructure automation using Python and AnsibleSupport MLOps workflows including model deployment, monitoring, and operationalizationTroubleshoot complex Linux-based production environmentsPartner with engineering teams to improve platform reliability, scalability, and performanceImplement observability, monitoring, and operational best practices across AI systemsSupport modern AI architectures and agent-based workflows Required Skills 10+ years of Linux systems administration and engineering experience10+ years of Python development and automation experience5+ years of Kubernetes administration and operations5+ years of AWS cloud experience, including AWS EKS5+ years of infrastructure automation using AnsibleExperience supporting production-scale distributed systemsStrong troubleshooting and performance optimization skillsExperience working in enterprise environments Preferred Skills Experience with MLOps platforms and machine learning infrastructureExposure to Agentic AI architectures and AI orchestration frameworksExperience supporting LLM-based applications and AI workloadsKnowledge of infrastructure-as-code and DevOps best practicesExperience with monitoring, logging, and observability platforms