Mercor
Posted 35 days agoVerified live 8h ago
Cloud DevOps Engineer - AI/ML
Brief overview
Remote
$75–$110/hrStated range
4+ yrsMinimum
Cloud InfrastructureDevOpsKubernetesCluster Failure DiagnosisInfrastructure-as-CodeTerraformAWS CDKAWS LambdaAmazon API GatewayAmazon DynamoDBCI/CD Pipelines
About the company
Mercormercor.com
Mercor is an AI-based hiring platform that improves the recruitment process by matching talent with opportunities tailored to their skills.
Visa sponsorship history
2 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.$161,637median wage / yr
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20256
202611
Top sponsored roles
Software EngineerSenior Strategic Project LeadStrategic Project LeadSenior Product ManagerMachine Learning Engineer
Job description
Summary
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
Qualifications
Must Haves
- 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