Remote AI & Cloud DevOps Engineer – Forward-Deployed

RevStar

Lorida (FL)

Remote

USD 140,000 - 210,000

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 Opportuntt

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 enterprise deployments, and collaborate directly with client stakeholders to align cloud and AI strategies with business outcomes.

You will thrive in a fast-paced environment where autonomy, depth of technical knowledge, and clear communication drive everyday success—delivering enterprise-grade solutions in a

Qualifications

  • 7+ Years in Cloud & DevOps Engineering: enterprise cloud infra experience.
  • 5+ Years of Cloud or AI Platform Mastery: Anthropic, OpenAI, or AWS environments.
  • 3+ Years in Consulting or Client-Facing Roles: autonomous, leading workload assessments and roadmaps.

Responsibilities

  • Architect, deploy, and manage scalable cloud and AI environments.
  • Build automated CI/CD pipelines and IaC provisioning.
  • Implement monitoring, logging, and cost-optimization across multi-cloud AI infra.
  • Lead discovery workshops and engage enterprise stakeholders.

Skills

Cloud & DevOps engineering
Consulting/Client-facing
AI/Cloud platform knowledge

Education

AWS Certified DevOps Engineer - Professional
Solutions Architect - Professional

Tools

Terraform
Container orchestration (ECS/EKS)
CI/CD tools (GitHub Actions, Azure DevOps)
AWS/GCP/Azure cloud services

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 enterprise deployments, and collaborate directly with client stakeholders to align cloud and AI strategies with business outcomes.

You will thrive in a fast-paced environment where autonomy, depth of technical knowledge, and clear communication drive everyday success—delivering enterprise-grade solutions in a

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