Cloud Site Reliability Engineer - IaC & Automation

Machine Learning Technologies, LLC; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a contracted Site Reliability Engineer to ensure the reliability, scalability, and performance of cloud infrastructure. The role emphasizes hands-on work with cloud technologies, Infrastructure as Code, and automation to deliver secure and scalable environments.

Responsibilities include designing and maintaining IaC-based cloud infra, building reusable modules, and enforcing enterprise security and compliance standards across deployments.

Qualifications

• 4–8 years of experience in cloud infrastructure engineering or operations.
• Hands-on experience with Infrastructure as Code tools for provisioning.
• Understanding of cloud services and architecture fundamentals.
• Experience with CI/CD pipelines and automated deployment processes.
• Strong problem solving skills and ability to resolve infrastructure issues.

Responsibilities

• Design and maintain cloud infrastructure using Infrastructure as Code.
• Contribute to secure and compliant cloud solutions following enterprise standards.
• Develop reusable modules and standardized patterns for consistent provisioning.
• Implement and maintain automation workflows for cloud environments.
• Collaborate with teams to ensure secure and resilient cloud configurations.

Skills

Cloud infra

IaC tools

CI/CD

Automation

Tools

Terraform

Ansible

Kubernetes

AWS/Azure/GCP

Job description

Machine Learning Technologies, LLC is seeking a contracted Site Reliability Engineer to ensure the reliability, scalability, and performance of cloud infrastructure. The role emphasizes hands-on work with cloud technologies, Infrastructure as Code, and automation to deliver secure and scalable environments.

Responsibilities include designing and maintaining IaC-based cloud infra, building reusable modules, and enforcing enterprise security and compliance standards across deployments.