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 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 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 practices

Experience with monitoring, logging, and observability platforms