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Closed listing

Secret Cloud & IaC Architect

  • Arlington, VA, United States

From $83 USD / hour

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
From $83 USD / hour
Experience
Bachelor's with 12+ years of infrastructure/cloud engineering experience (or commensurate experience)
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Required Skills & Experience

  • Bachelor's with 12+ years of infrastructure/cloud engineering experience (or commensurate experience)
  • AWS/Microsoft Azure architecture expertise
  • Demonstrated expertise in AWS and Microsoft Azure architecture
  • Experience with Terraform, CloudFormation, and ARM/Bicep for infrastructure as code
  • Proficiency in Kubernetes and container-based deployment strategies
  • Strong knowledge of networking and security technologies
  • Hands-on experience with GitOps automation practices
  • Familiarity with monitoring and observability tools

Nice to Have Skills & Experience

  • AWS Solutions Architect Professional.
  • Microsoft Azure Solutions Architect Expert.
  • Terraform or Kubernetes certifications.

Job Description

Insight Global is seeking a Cloud & Infrastructure as Code (IaC) Architect (AWS/Azure) with an active Secret clearance to design and implement scalable, secure, automated cloud environments using modern cloud architecture principles and Infrastructure as Code practices. The Architect also drives cloud modernization, migration, governance, and optimization efforts. This position is located in Arlington, VA, and is hybrid remote and onsite. Responsibilities include:

  • Lead AI/automation strategy, roadmap development, and execution across enterprise programs.
  • Identify opportunities to implement AI, ML, RPA, workflow automation, and generative AI platforms.
  • Manage automation projects end‑to‑end, including requirements, schedules, risks, budgets, and performance metrics.
  • Coordinate work across data scientists, engineers, cybersecurity teams, cloud teams, and business leaders.
  • Establish governance frameworks for AI practices, model risk management, and enterprise adoption.
  • Develop KPIs measuring productivity gains, cost savings, automation effectiveness, and user adoption.
  • Oversee change‑management plans, communications, and training.
  • Build and maintain vendor relationships and stay current with emerging technology trends.
More about this job

Skills

  • AWS
  • Microsoft Azure
  • IBM Terraform
  • Infrastructure as code
  • Kubernetes
  • ML
  • Workflow
  • Cybersecurity
  • Risk management
  • Change management

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