DevOps Forward Deployed Engineer Job Description (AI & Cloud)
# DevOps Forward Deployed Engineer Job Description (AI & Cloud) **Rev Star** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[DevOps-Engineer]` `[Cloud-Engineer]` `[Platform-Engineer]` `[Site-Reliability-Engineer]` `[Cloud-DevOps-Engineer]` `[AI-DevOps-Engineer]` `[Senior-DevOps-Engineer-AI-ML]` --- ### About the Role 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 Reasonable Accommodations Originally posted on Himalayas
- DevOps-Engineer
- Cloud-Engineer
- Platform-Engineer
- Site-Reliability-Engineer
- Cloud-DevOps-Engineer
- AI-DevOps-Engineer
- Senior-DevOps-Engineer-AI-ML
Наблюдалась 2026-10-06, впервые 2026-10-06, источник — Himalayas (JSON API).