Cloud DevOps Engineer - AI/ML

• 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., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity., Network DevOps Engineer Location:- Remote Duration:- Full Time Must Have Technical/Functional Skills Azure Cloud Network, AWS Cloud Network, Cisco SD WAN, Ansible automation…
• 19 hours ago
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• 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.

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…

• 18 hours ago