Remote AI & Cloud DevOps Architect (Forward Deployed)

RevStar

Arizona

Remote

USD 150,000 - 210,000

Full time

7 days ago
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Benefits offered by this job

Paid Time Off
Remote-First Working Environment
Comprehensive Health Coverage
401(k) Retirement Plan
Annual Learning & Development Stipend
Peer Mentorship & Coaching
Professional Growth Opportunities
Company Outings & Volunteer Activities
Collaborative, Innovative Culture

Job summary

RevStar is seeking a strategic AI & Cloud DevOps Engineer who bridges technical execution with client-facing consulting. You will architect cloud-native infrastructure, automate deployments, and collaborate with client stakeholders to align cloud and AI strategies with business outcomes.

In a remote-first culture, you will lead discovery workshops, build scalable CI/CD pipelines, and ensure security, cost-efficiency, and operational excellence across multi-cloud environments.

Qualifications

  • 7+ years designing and maintaining enterprise cloud infrastructure.
  • 5+ years in Cloud or AI platform mastery across major providers.
  • 3+ years in consulting or client-facing roles.

Responsibilities

  • Architect, deploy, and manage scalable cloud and AI environments.
  • Build automated CI/CD pipelines and IaC with Terraform, GitHub, and Azure DevOps.
  • Engage directly with enterprise stakeholders to align cloud/AI strategies with business outcomes.
  • Lead workshops and demos, driving credible execution in a remote setting.

Skills

Cloud architecture
DevOps engineering
Client-facing communication

Tools

Terraform
Container orchestration (ECS/EKS)
GitHub Actions
Azure DevOps
CI/CD tooling

Job description

RevStar is seeking a strategic AI & Cloud DevOps Engineer who bridges technical execution with client-facing consulting. You will architect cloud-native infrastructure, automate deployments, and collaborate with client stakeholders to align cloud and AI strategies with business outcomes.

In a remote-first culture, you will lead discovery workshops, build scalable CI/CD pipelines, and ensure security, cost-efficiency, and operational excellence across multi-cloud environments.

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