Remote AI-Cloud DevOps Engineer | Forward Deployed

RevStar; Texas; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health coverage

401(k) retirement plan

Peer mentorship & coaching

Professional growth opportunities

Company outings & volunteer activities

Job summary

RevStar is seeking a strategic AI & Cloud DevOps Engineer (FDE) to architect cloud-native infrastructure and automate enterprise deployments. You will collaborate directly with client stakeholders to align cloud and AI strategies with business outcomes in a remote-first environment.

You will lead workshops, demonstrate solutions, and drive end-to-end delivery across ECS/EKS, Lambda, S3, API Gateway, and AI platform services, while ensuring security, reliability, and cost efficiency.

Qualifications

• 7+ Years in Cloud & DevOps Engineering
• ~5+ Years of Cloud or AI Platform Mastery across AWS or similar platforms
• ~3+ Years in Consulting or client-facing roles
• Experience with IaC and container orchestration
• Experience building secure, automated pipelines with SAST/DAST and policy-as-code

Responsibilities

• Architect, deploy, and manage scalable cloud and AI environments
• Build automated CI/CD pipelines and IaC
• Implement monitoring, logging, and alerting across multi-cloud environments
• Lead discovery workshops and demos for enterprise stakeholders
• Provide autonomous leadership in workload assessments and cloud adoption roadmaps

Skills

Cloud architecture & AI infrastructure

Automation & CI/CD

Consulting & client-facing

Security & FinOps awareness

Workshops & demos

Tools

Terraform

GitHub

Azure DevOps

ECS/EKS

Lambda/S3/API Gateway

Job description

RevStar is seeking a strategic AI & Cloud DevOps Engineer (FDE) to architect cloud-native infrastructure and automate enterprise deployments. You will collaborate directly with client stakeholders to align cloud and AI strategies with business outcomes in a remote-first environment.

You will lead workshops, demonstrate solutions, and drive end-to-end delivery across ECS/EKS, Lambda, S3, API Gateway, and AI platform services, while ensuring security, reliability, and cost efficiency.