GenAI Cloud & DevOps Engineer — Kubernetes, AWS & IaC

Dorado; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Cincinnatus LLC is placing you at a leading AI lab to help build foundational AI models with hands-on cloud and DevOps excellence. You will work on Kubernetes operations, AWS service integration, and IaC tooling to support cutting-edge AI training and inference infrastructure.

The role is a full-time W-2 employment with the opportunity to be placed at a premier AI lab. You must be able to dedicate at least 40 hours per week on weekdays and communicate complex technical decisions clearly.

Qualifications

• 4+ years of professional cloud infrastructure/DevOps experience.

Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure, Kubernetes operations, and IaC topics.
• Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to cluster diagnosis, AWS service integration, and infrastructure automation problems.
• Evaluate infrastructure engineering tasks and solutions and provide clear, written technical feedback.
• Develop guidelines and detailed rubrics/evaluation frameworks to assess cluster failure diagnosis, IaC design quality, and CI/CD pipeline reasoning across tasks.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Skills

Kubernetes ops

AWS integration

Terraform

AWS CDK

CI/CD pipelines

Cloud infrastructure

Site reliability

Communication & docs

Tools

Kubernetes

Terraform

AWS CDK

Lambda

API Gateway

DynamoDB

Job description

Cincinnatus LLC is placing you at a leading AI lab to help build foundational AI models with hands-on cloud and DevOps excellence. You will work on Kubernetes operations, AWS service integration, and IaC tooling to support cutting-edge AI training and inference infrastructure.

The role is a full-time W-2 employment with the opportunity to be placed at a premier AI lab. You must be able to dedicate at least 40 hours per week on weekdays and communicate complex technical decisions clearly.