Note: The job is a remote job and is open to candidates in USA. Mercor connects elite creative and technical talent with leading AI research labs. The company is seeking a Cloud/DevOps Engineer to guide research and engineering teams, design and evaluate cloud infrastructure and Infrastructure-as-Code tasks, and develop evaluation frameworks for Kubernetes, CI/CD, and AWS-related work.
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
Skills
- 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
Benefits
- Remote work arrangement
Company Overview
Company H1B Sponsorship