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# Infrastructure Engineer - Fully Remote

- **Company:** Mercor, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $166,400 - $249,600
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, Software Debugging, DevOps, Github, Python (Programming Language), Octopus Deploy, Software Engineering, Pulumi, Scripting, Cloudformation, Kubernetes, Terraform, Docker, Jenkins
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/infrastructure-engineer-fully-remote-new-york-ny--2cce559f-aa78-4142-b939-8110aec121d4

## About the Role

Artificial Intelligence (AI), Benchmarking, Research Laboratory, DevOps, Software Engineering, Performance Modeling, Cloud Computing, Performance Management, Debugging Skills, Continuous Integration, Must-Have

 * 4+ years of dedicated professional experience in DevOps, SRE, platform, or infrastructure engineering at a recognized, top-tier organization.
 * Hands-on production experience with Kubernetes and containers (Docker), and infrastructure as code (Terraform, Pulumi, or CloudFormation).
 * Deep experience with at least one major cloud provider (AWS, GCP, or Azure) and CI/CD tooling (GitHub Actions, Jenkins, ArgoCD, or similar).
 * Strong scripting skills in Python, Bash, or Go.
 * Demonstrable career progression.
 * Ability to engage reliably for at least 20 hours/week during weekdays.
 * Strong written communication skills and the ability to explain complex technical decisions clearly.

## Description

* Guide research and engineering teams to close knowledge gaps and improve AI model performance in DevOps and infrastructure engineering, cloud platforms, and reliability and observability topics.
 * Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to DevOps and infrastructure engineering problems.
 * Evaluate DevOps and infrastructure engineering tasks and solutions and provide clear, written technical feedback.
 * Build and evaluate realistic infrastructure tasks such as Kubernetes manifests, Terraform modules, CI/CD pipelines, and incident debugging scenarios.
 * Develop rubrics to assess infrastructure design, security posture, reliability, and cost tradeoffs.
 * Collaborate with other subject matter experts to ensure consistency and accuracy in training data.