Infrastructure admin for AI services (Azure & AWS)

Axelon Services Corporation

Aliso Viejo, CA(remote)

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JOB DETAILS

SKILLS

ARM (Advanced RISC Machine), AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Artificial Intelligence (AI), Bash Scripting, Best Practices, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cryptography, Data Science, Docker, GPU (Graphics Processing Unit), GitHub, High Availability, Information Technology & Information Systems, Linux Administration, Machine Learning, Maintain Compliance, Microsoft Windows Azure, Network Configuration Management, Network Security, Protective Services, Python Programming/Scripting Language, Regulatory Compliance, Resource Management, Resource Utilization, Scripting (Scripting Languages), Software Engineering, Software Patches, Team Player, Virtual Machine (VM), Windows PowerShell

LOCATION

Aliso Viejo, CA

POSTED

8 days ago

Job title: Infrastructure admin for AI services (Azure & AWS)
location: Remote
$50/hr

Key Responsibilities

Design, deploy, and manage cloud infrastructure supporting AI/ML workloads on AWS and Azure
Manage compute resources such as EC2, Azure Virtual Machines, GPU instances, EKS, VPC, ECS, S3, Lambda, Route 53, and Kubernetes clusters
Provision and configure storage, networking, and security services for AI platforms
Ensure high availability, scalability, and reliability of AI environments
Deploy and maintain AI/ML services such as Amazon SageMaker, Azure Microsoft Foundry, and Azure Machine Learning
Support data scientists and ML engineers by providing optimized infrastructure for model training and deployment
Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, ARM templates / Bicep, and Docker Files
Automate and set up environment provisioning, patching, and scaling
Deploy and manage containerized AI workloads using Docker, Kubernetes, Amazon EKS, Azure Kubernetes Service (AKS), and ECS
Monitor system health, performance, and resource utilization using CloudWatch, Azure Monitor, Datadog / Prometheus
Optimize infrastructure for cost, performance, and GPU utilization
Implement cloud security best practices including IAM / RBAC management, network security groups, encryption, and secrets management
Ensure compliance with organizational and regulatory standards
Integrate AI infrastructure with CI/CD pipelines
Support automated deployment of models and AI services

Required Qualifications

Bachelors degree in Computer Science, Information Systems, or related field
5+ years experience in infrastructure administration or cloud engineering
Strong hands-on experience with AWS cloud services and Microsoft Azure cloud services
Experience supporting AI/ML infrastructure or data platforms
Proficiency with Linux administration and scripting (Python, Bash, PowerShell, Terraform, Terragrunt)
Experience with Docker and Kubernetes
Experience with GitHub Actions
Experience with LLM infrastructure set up
Experience working in a centralized team with triaging capabilities

About the Company

Axelon Services Corporation

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