Senior Cloud Engineer - AI/ML & Secure Enclaves

The Amatriot Group

Chantilly (VA)

On-site

USD 115,000 - 176,000

Full time

16 hours ago
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Job summary

The Amatriot Group seeks a Senior Cloud Engineer to design secure, scalable AI/ML cloud environments across multi-enclave and high-security settings. You will optimize GPU-enabled infrastructure, automate deployments with IaC, and strengthen secure cloud operations in hybrid and on-premises contexts.

Required TS or higher clearance with CI Polygraph, 8+ years of cloud engineering experience, and hands-on work with AWS, Azure, and GCP.

Qualifications

  • Bachelor's degree required.
  • Minimum 8 years of relevant experience required.
  • Hands-on experience with AWS, Azure, and GCP required.
  • Experience with Kubernetes and cloud networking and storage optimization required.
  • Experience with Terraform, Bicep, and CloudFormation; DevSecOps pipelines experience required.

Responsibilities

  • Design and implement cloud architectures optimized for AI/ML compute, storage, and networking requirements.
  • Integrate public cloud platforms with on‑premises hyperconverged infrastructure and accelerator hardware.
  • Support air-gapped hybrid-cloud and on‑premises environments across multi-enclave ecosystems.
  • Support AWS GovCloud, SC2S, C2S, and GCP cloud platforms.
  • Automate cloud infrastructure using DevSecOps practices and IaC.

Skills

Cloud engineering
AI/ML compute environments
Kubernetes
DevSecOps pipelines
Infrastructure as Code
Cross-team collaboration
Security governance

Education

Bachelor's degree

Tools

Terraform
Bicep
CloudFormation
Kubernetes
OpenShift
AWS
Azure
GCP

Job description

The Amatriot Group seeks a Senior Cloud Engineer to design secure, scalable AI/ML cloud environments across multi-enclave and high-security settings. You will optimize GPU-enabled infrastructure, automate deployments with IaC, and strengthen secure cloud operations in hybrid and on-premises contexts.

Required TS or higher clearance with CI Polygraph, 8+ years of cloud engineering experience, and hands-on work with AWS, Azure, and GCP.

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