DevOps Forward Deployed Engineer ; AI & Cloud

Role Title
: AI & Cloud Dev Ops Engineer

Reports To
:
Service Area Leader

Employment Type
:
Full-Time W2

Location
: 100% Remote

At Rev Star, we are a dynamic team of engineers, UX designers, and product managers committed to putting business first in the pursuit of excellence. As an Advanced Technology Partner, we deliver cloud-native web and mobile applications, building modern data and AI solutions that drive tangible value. We foster a remote-first culture where teams freely innovate and grow together, building meaningful outcomes that matter.

Our ethos is guided by Service, Collaboration, Transparency, Accountability, and Quality.

Our Core Values:

• Self-Mastery:
  We hold a high bar for how we think, communicate, and improve.
• Ownership:
  We own outcomes, not just effort.
• Shared Destiny:
  We rise or fall together.

We are looking for a strategic AI & Cloud Dev Ops Engineer who bridges technical execution with client-facing consulting. In this role, 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, technical depth, and clear communication drive everyday success.

• Cloud & AI Architecture & Infrastructure:
  Architect, deploy, and manage scalable cloud and AI environments utilizing ECS, EKS, Lambda, S3, API Gateway, or AI platform services while ensuring security, reliability, and cost-efficiency.
• Automation & CI/CD Pipelines:
  Build automated CI/CD pipelines and version-controlled Infrastructure as Code (IaC) using Terraform, Git Hub, Azure Dev Ops, and cloud/AI tooling for seamless releases.
• Observability & Optimization:
  Implement proactive monitoring, logging, and alerting solutions across multi-cloud and AI infrastructure environments to optimize performance and prevent operational incidents.
• Client Engagement & Delivery:
  Lead discovery workshops, demo solutions, gather technical requirements, and build immediate credibility with enterprise client stakeholders.

• 7+ Years in Cloud & Dev Ops Engineering: Extensive background designing, deploying, and maintaining enterprise cloud infrastructure.
• 5+ Years of Cloud or AI Platform Mastery: Deep hands-on experience across Anthropic, OpenAI, or AWS environments, serverless architectures, and containerized workloads.
• 3+ Years in Consulting or Client-Facing Roles: Proven track record operating as an independent actor—autonomously leading workload assessments, architecting cloud adoption roadmaps, and driving client engagements with minimal oversight.

• Infrastructure as Code (IaC) & Containers: Advanced expertise in Terraform, container orchestration (such as AWS ECS/EKS or equivalent cloud container services), and automated provisioning.
• CI/CD & Dev Sec Ops : Mastery in building secure, automated pipelines (Git Hub Actions, Azure Dev Ops, or cloud-native tooling) with integrated SAST/DAST, policy-as-code, and automated testing.
• Security & Financial Operations (Fin Ops): Deep experience in cloud/AI security baselines (IAM least-privilege, guardrails, compliance automation) and cost-optimization frameworks.

• Active
  
  Certifications:
  
  Professional-level Cloud, Dev Ops, or AI Certifications (e.g., AWS Certified Dev Ops Engineer – Professional, Solutions Architect – Professional, Specialty certs in Security / AI Practitioner, or equivalent Anthropic / OpenAI / Cloud platform credentials) strongly preferred.
• Consultative Communication: Superior verbal, written, and presentation skills—confident in facilitating technical workshops, demoing complex architectures to stakeholders, and…