AI & Cloud DevOps Engineer
New
R
RevStarCloud and AI
Florida, United States. Arizona, United States. Texas, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ Years in Cloud & DevOps Engineering; 5+ Years of Cloud or AI Platform Mastery; 3+ Years in Consulting or Client-Facing Roles
- Required Skills
- AWSAWS EKSCI/CDTerraformGitHub ActionsAzure DevOps
Requirements
- Bring 7+ years of experience in cloud and DevOps engineering.
- Have 5+ years of hands-on experience with cloud or AI platforms, including Anthropic, OpenAI, or AWS environments.
- Have 3+ years of experience in consulting or client-facing roles.
- Demonstrate experience designing, deploying, and maintaining enterprise cloud infrastructure.
- Have experience with serverless architectures and containerized workloads.
- Bring advanced expertise in Terraform, container orchestration such as AWS ECS or EKS, and automated provisioning.
- Have experience building secure CI/CD pipelines with integrated SAST/DAST, policy-as-code, and automated testing.
- Have experience with cloud and AI security baselines, IAM least-privilege, guardrails, compliance automation, and cost optimization.
- Be able to lead workload assessments, architect cloud adoption roadmaps, and drive client engagements autonomously.
- Bring strong verbal, written, and presentation skills for technical workshops and architecture demonstrations.
- Professional-level Cloud, DevOps, or AI certifications are strongly preferred.
Responsibilities
- Architect, deploy, and manage scalable cloud and AI environments using services such as ECS, EKS, Lambda, S3, and API Gateway.
- Ensure cloud and AI environments meet security, reliability, and cost-efficiency needs.
- 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 environments.
- Optimize performance and help prevent operational incidents.
- Lead discovery workshops with enterprise client stakeholders.
- Demonstrate solutions, gather technical requirements, and build credibility with client stakeholders.
- Lead workload assessments, architect cloud adoption roadmaps, and drive client engagements.
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