Remote AI Cloud DevOps Engineer

RevStar

Yuma (AZ)

Remote

USD 140,000 - 190,000

Full time

5 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
Collaborative, Innovative Culture

Job summary

RevStar is seeking an 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.

Remote-first culture with autonomy and deep technical work. You will design and deploy scalable environments using ECS/EKS, Lambda, S3, API Gateway, and related services, while driving secure, cost-efficient operations

Qualifications

  • 7+ Years in Cloud & DevOps Engineering.
  • 5+ Years of Cloud or AI Platform Mastery across major providers.
  • 3+ Years in Consulting or client-facing roles.
  • Experience architecting cloud adoption roadmaps and leading engagements.

Responsibilities

  • Architect and manage scalable cloud and AI environments for clients.
  • Build automated CI/CD pipelines and IaC provisioning.
  • Implement proactive monitoring, logging, and optimization across multi-cloud stacks.
  • Lead discovery workshops and present solutions to enterprise stakeholders.

Skills

Cloud & DevOps
AI & Cloud
Consulting experience

Tools

Terraform
CI/CD
ECS/EKS
GitHub Actions
Azure DevOps

Job description

RevStar is seeking an 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.

Remote-first culture with autonomy and deep technical work. You will design and deploy scalable environments using ECS/EKS, Lambda, S3, API Gateway, and related services, while driving secure, cost-efficient operations

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