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Open nowPosted 4 days ago

DevOps Forward Deployed Engineer Job Description (AI & Cloud)

Workable (global search)108,016 open roles

Where
AZ, United States
Work mode
Remote
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Your applicationOpen nowDevOps Forward Deployed Engineer Job Description (AI & Cloud)Workable (global search) · AZ, United States
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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 4 days ago

Workable (global search) median: 7 days open

The posting

Role Title: AI & Cloud DevOps Engineer

Reports To: Service Area Leader

Employment Type: Full-Time W2

Location: 100% Remote

At RevStar, 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.

The Opportunity

We are looking for a strategic AI & Cloud DevOps 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.

Key Pillars of Responsibility

  • 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, GitHub, Azure DevOps, 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.

Requirements

  • 7+ Years in Cloud & DevOps 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.

Technical Execution & Automation

  • 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 & DevSecOps: Mastery in building secure, automated pipelines (GitHub Actions, Azure DevOps, or cloud-native tooling) with integrated SAST/DAST, policy-as-code, and automated testing.
  • Security & Financial Operations (FinOps): Deep experience in cloud/AI security baselines (IAM least-privilege, guardrails, compliance automation) and cost-optimization frameworks.

Certifications & Communication

  • Active Certifications: Professional-level Cloud, DevOps, or AI Certifications (e.g., AWS Certified DevOps 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 thriving in a 100% remote environment.

Benefits

  • Paid Time Off – Take the time you need to recharge and stay productive.
  • Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
  • Comprehensive Health Coverage – Medical, Dental, Vision
  • 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.
  • Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
  • Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
  • Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
  • Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
  • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.

Equal Opportunity Employment

At RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at [email protected].

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