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Software Engineer, Deployment Infrastructure Vercel
San Francisco, CA1 day ago
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Skills
- Amazon Web Services (AWS)unmatched
- Ansibleunmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Best Practicesunmatched
- Business Operationsunmatched
- Cloud Computingunmatched
- DevOpsunmatched
- Distributed Computingunmatched
- Engineeringunmatched
- Identify Issuesunmatched
- Linux Administrationunmatched
- Linux Operating Systemunmatched
- Machine Learningunmatched
- Performance Tuning/Optimizationunmatched
- Production Supportunmatched
- Production Systemsunmatched
- Python Programming/Scripting Languageunmatched
- Reliability Engineeringunmatched
- Systems Administration/Managementunmatched
- Systems Engineeringunmatched
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 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
Compensation: $50.00 - $60.00 per hour
Numbers & Facts
| Location | San Francisco, California |
| Website | https://www.eitacies.com |
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