4D AGO

Cloud / DevOps Engineer (Infra & IaC)

Mercor / Cloud / DevOps Engineer (Infra & IaC)

RATE

$75-$110/HR

LOCATION

UNITED STATES (REMOTE)

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DESCRIPTION

Availability & Commitment Confirmation — Cloud / DevOps Engineer (40 hrs/week, Remote US) All application steps are reused whenever another role requires the same step, so you never have to upload your resume or take the same interview twice Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Cloud and DevOps Engineers with deep, hands-on expertise in Kubernetes operations, AWS service integration, and Infrastructure-as-Code to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data. This is a full-time commitment of 40 hours per week. This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. Key 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. 3. Core

REQUIREMENTS

▸4+ years of dedicated professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering at a recognized, top-tier organization.
▸Hands-on production experience operating Kubernetes, including diagnosing and repairing cluster failures — not solely authoring manifests or using a managed control plane.
▸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.
▸Demonstrable career progression.
▸Ability to engage reliably for at least 40 hours/week during weekdays.
▸Strong written communication skills and the ability to explain complex technical decisions clearly.