AI Infrastructure Engineer MLOps

EITACIES Inc.; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

401(k)

Job summary

EITACIES Inc. is looking for an experienced AI Infrastructure Engineer in San Francisco to support large-scale AI and machine learning platforms in cloud-native environments. The role involves designing and deploying scalable AI/ML infrastructure, managing AWS EKS Kubernetes environments, and troubleshooting complex production issues.

The ideal candidate will have over 10 years of Linux and Python experience, along with significant AWS and Kubernetes familiarity. This position is fully onsite in the San Francisco Bay Area, ensuring robust operational support.

Qualifications

• 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.

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.

Skills

Linux systems administration

Python development

Kubernetes operations

AWS cloud

Infrastructure automation using Ansible

Troubleshooting skills

Performance optimization skills

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 EKS
• Build and maintain infrastructure automation using Python and Ansible
• Support MLOps workflows including model deployment, monitoring, and operationalization
• Troubleshoot complex Linux-based production environmentsPartner 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 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

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 practicesExperience with monitoring, logging, and observability platforms