Secure AI Cloud Engineer – TS Clearance, Multi-Enclave

Amatriot Group; Chantilly (VA); On-site; USD 115,000 - 176,000; Full time

Job summary

Amatriot Group in Chantilly, VA is seeking an expert cloud architect to design secure, scalable AIML cloud environments across multi enclave and high-security settings. You will optimize infrastructure for distributed model training, HPC, and low-latency inference, while improving automation and security practices.

The role requires 8+ years in cloud engineering, hands-on AWS/Azure/GCP experience, and strong DevSecOps and IaC skills; teamwork across multiple domains is essential in this

Qualifications

• Bachelor's degree required.
• 8+ years of experience required.
• Hands-on experience with AWS, Azure and GCP required.
• Experience with Kubernetes and cloud networking/storage optimization required.
• Knowledge of AIML compute environments, distributed systems or HPC required.
• Experience with IaC tools (Terraform, Ansible, CloudFormation, Bicep) and DevSecOps pipelines.
• Strong understanding of secure cloud practices and multi enclave operations.
• Effective communication and cross-team collaboration skills.

Responsibilities

• Design and implement cloud architectures optimized for AIML compute, storage and networking needs; integrate public clouds with on-premises systems.
• Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code tools; standardize processes across teams.
• Support secure high-availability operations for classified AI applications; manage container orchestration and multi-tenant operations.
• Establish data and model governance to maintain secure AI pipelines.

Skills

Cloud engineering

Distributed systems

DevSecOps

Multi enclave ops

Education

Bachelor's degree

Tools

Terraform

Ansible

Kubernetes

Docker

OpenShift

CloudFormation

Bicep

Job description

Amatriot Group in Chantilly, VA is seeking an expert cloud architect to design secure, scalable AIML cloud environments across multi enclave and high-security settings. You will optimize infrastructure for distributed model training, HPC, and low-latency inference, while improving automation and security practices.

The role requires 8+ years in cloud engineering, hands-on AWS/Azure/GCP experience, and strong DevSecOps and IaC skills; teamwork across multiple domains is essential in this