Senior Cloud Engineer - Secure AI/ML Cloud, TS/SCI

World Wide Technology

Richmond (VA)

On-site

USD 155,000 - 165,000

Full time

15 hours ago
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Benefits offered by this job

Health and wellbeing
Profit sharing
401k with company matching
Life and disability insurance
Tuition reimbursement
PTO & holidays

Job summary

World Wide Technology is seeking a Senior Cloud Engineer (AI Integration) to design secure, scalable cloud environments for AI/ML workloads in a high-security government services context. You will build and optimize cloud infrastructures spanning multiple enclaves, automate with DevSecOps, and ensure strong governance and multi-tenant operations.

The role demands hands-on cloud engineering experience with AWS/Azure/GCP, Terraform/CloudFormation, Kubernetes, and secure CI/CD practices, in a

Qualifications

  • Top Secret with eligibility to access SCI material
  • 8+ years of experience in cloud engineering or related roles
  • Hands-on with major cloud providers (AWS, Azure, GCP)
  • Knowledge of AI/ML compute environments, distributed systems, or HPC

Responsibilities

  • Design and implement cloud architectures optimized for AI/ML compute, storage, and networking needs.
  • Automate cloud infrastructure using DevSecOps and Infrastructure as Code (IaC) tools.
  • Integrate public cloud platforms with on premises hyperconverged systems and accelerator hardware.
  • Support secure, high availability operations for classified or mission critical AI applications.
  • Manage container orchestration platforms and ensure efficient multi tenant operations.
  • Implement data and model governance practices to maintain secure AI pipelines.

Skills

TS/SCI clearance
Security-minded / DevSecOps
Cloud architecture design
Communication & collaboration

Tools

Terraform
CloudFormation
Bicep
Kubernetes
Docker
OpenShift
AWS
Azure
GCP
GitLab CI/CD
Nutanix Prism Central
NDFS
Lambda

Job description

World Wide Technology is seeking a Senior Cloud Engineer (AI Integration) to design secure, scalable cloud environments for AI/ML workloads in a high-security government services context. You will build and optimize cloud infrastructures spanning multiple enclaves, automate with DevSecOps, and ensure strong governance and multi-tenant operations.

The role demands hands-on cloud engineering experience with AWS/Azure/GCP, Terraform/CloudFormation, Kubernetes, and secure CI/CD practices, in a

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