About The Position

RevStar is hiring a DevOps Forward Deployed Engineer to bridge technical execution with client-facing consulting. The role involves architecting cloud-native infrastructure, automating enterprise deployments, and collaborating directly with client stakeholders to align cloud and AI strategies with business outcomes. The position is remote and full-time W-2. The engineer will design, deploy, and manage scalable cloud and AI environments; build automated CI/CD pipelines and version-controlled infrastructure as code; and implement monitoring, logging, and alerting across cloud and AI environments. The role also leads discovery workshops, demos solutions, gathers technical requirements, and establishes credibility with enterprise client stakeholders. RevStar describes itself as a remote-first team delivering cloud-native web and mobile applications, data and AI solutions, and other technology services. Its stated values are Self-Mastery, Ownership, and Shared Destiny.

Requirements

  • At least 7 years of experience in cloud and DevOps engineering, including designing, deploying, and maintaining enterprise cloud infrastructure.
  • At least 5 years of hands-on experience across Anthropic, OpenAI, or AWS environments, serverless architectures, and containerized workloads.
  • At least 3 years in consulting or client-facing roles, with experience independently leading workload assessments, architecting cloud adoption roadmaps, and driving client engagements with minimal oversight.
  • Advanced expertise in Terraform, container orchestration such as AWS ECS/EKS or equivalent cloud container services, and automated provisioning.
  • Mastery of building secure, automated CI/CD pipelines using GitHub Actions, Azure DevOps, or cloud-native tooling.
  • Deep experience with cloud and AI security baselines, including least-privilege IAM, guardrails, compliance automation, and cost-optimization frameworks.
  • Superior verbal, written, and presentation skills; ability to facilitate technical workshops, demonstrate complex architectures to stakeholders, and work effectively in a fully remote environment.

Nice To Haves

  • Professional-level Cloud, DevOps, or AI certifications are strongly preferred, such as AWS Certified DevOps Engineer – Professional, Solutions Architect – Professional, security or AI Practitioner specialty certifications, or equivalent Anthropic, OpenAI, or cloud-platform credentials.

Responsibilities

  • Architect, deploy, and manage scalable cloud and AI environments using services such as ECS, EKS, Lambda, S3, API Gateway, and AI platforms, while ensuring security, reliability, and cost-efficiency.
  • Build automated CI/CD pipelines and version-controlled Infrastructure as Code using Terraform, GitHub, Azure DevOps, and cloud or AI tooling.
  • Implement monitoring, logging, and alerting across multi-cloud and AI infrastructure to optimize performance and prevent operational incidents.
  • Lead discovery workshops, demonstrate solutions, gather technical requirements, and build credibility with enterprise client stakeholders.
  • Lead workload assessments, architect cloud adoption roadmaps, and drive client engagements autonomously with minimal oversight.
  • Build secure pipelines with integrated SAST/DAST, policy-as-code, and automated testing.
  • Apply cloud and AI security baselines, including least-privilege IAM, guardrails, and compliance automation.
  • Use cost-optimization frameworks for cloud and AI environments.

Benefits

  • Paid time off.
  • Remote-first working environment.
  • Medical, dental, and vision coverage.
  • Company-sponsored 401(k) retirement plan.
  • Annual learning and development stipend for conferences, certifications, or courses.
  • Peer mentorship and coaching.
  • Professional growth opportunities and exposure to AWS GenAI, data, and cloud technologies across diverse industries.
  • Company outings and volunteer opportunities.
  • Collaborative, innovative culture.
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