Senior Cloud Engineer, AI/ML & Secure Gov Cloud

Linuxconfig

Chantilly, Northern (VA, KY)

Hybrid

USD 94,000 - 188,000

Full time

3 days ago
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Job summary

Accenture Federal Services in Chantilly, VA is seeking a Senior Cloud Engineer (AI Integration) to design secure, scalable cloud environments for AI/ML workloads across multi enclave and high-security settings. You will build and optimize cloud infrastructure for distributed model training, high-performance compute, and low-latency inference.

The role requires 8+ years of cloud engineering experience, hands-on work with AWS/Azure/GCP, IaC tools, Kubernetes, and a current Top Secret clearance.

Qualifications

  • Bachelor’s degree required.
  • 8+ years of cloud engineering experience.
  • Hands-on with AWS, Azure, or GCP.
  • Experience with IaC (Terraform, Bicep, CloudFormation).
  • Kubernetes and cloud networking/storage optimization.
  • Active Top Secret clearance required.
  • Strong communication and cross-team collaboration.

Responsibilities

  • Design cloud architectures optimized for AI/ML compute and storage.
  • Automate cloud infrastructure using DevSecOps and IaC.
  • Integrate public cloud with on-prem hyperconverged systems.
  • Ensure secure, high-availability ops for classified AI apps.
  • Manage container orchestration and multi-tenant operations.
  • Implement data and model governance for secure pipelines.

Skills

Cloud engineering
DevSecOps
Infrastructure as Code
Kubernetes
Secure cloud design
Cross-team collaboration
Communication
Top Secret clearance

Education

Bachelor's degree

Tools

Terraform
Bicep
CloudFormation
Kubernetes
OpenShift
Prism Central
Nutanix
AWS
Azure
GCP

Job description

Accenture Federal Services in Chantilly, VA is seeking a Senior Cloud Engineer (AI Integration) to design secure, scalable cloud environments for AI/ML workloads across multi enclave and high-security settings. You will build and optimize cloud infrastructure for distributed model training, high-performance compute, and low-latency inference.

The role requires 8+ years of cloud engineering experience, hands-on work with AWS/Azure/GCP, IaC tools, Kubernetes, and a current Top Secret clearance.

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