Cloud / DevOps Engineer (Infra & IaC)

Help strengthen the cloud infrastructure behind advanced generative AI models. In this full-time role, you will apply production Kubernetes, AWS, Infrastructure-as-Code, and CI/CD expertise to improve the quality of AI training and inference infrastructure data.

• Help research and engineering teams address knowledge gaps in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code to improve AI model performance.
• Create challenging, domain-relevant technical tasks and accurate, well-structured solutions covering cluster diagnosis, AWS service integration, and infrastructure automation.
• Evaluate infrastructure engineering tasks and solutions, providing clear written technical feedback.
• Develop detailed guidelines and evaluation rubrics for cluster failure diagnosis, IaC design quality, and CI/CD pipeline reasoning.
• Collaborate with subject matter experts to maintain consistent, accurate training data.

• 4+ years of dedicated professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering at a recognized top-tier organization.
• Hands-on production Kubernetes operations experience, including diagnosing and repairing cluster failures.
• Production Infrastructure-as-Code experience with Terraform and/or AWS CDK.
• Direct production experience integrating AWS services, including Lambda, API Gateway, and DynamoDB.
• Experience building and owning CI/CD pipelines.
• Demonstrable career progression.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

• Remote role for candidates located in the United States.
• W-2 hourly employment, with potential placement on a leading AI lab''s extended workforce.
• Full-time weekday commitment of at least 40 hours per week.

$75 to $110 per hour.

Employment decisions are made without discrimination based on race, religion, color, national origin, sex, pregnancy or related medical conditions, sexual orientation, gender identity or expression, age, veteran status, disability, genetic information, political views or activity, or any other legally protected characteristic.