Cloud DevOps Engineer - AI/ML

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D’Angelo , Larry Summers , and Jack Dorsey .

Position: Cloud / DevOps Engineer (Infra & IaC)

Type: Contract Compensation: $75–$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code 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.

Qualifications Must-Have

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

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.