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# DevOps Engineer - Remote

- **Company:** YO AI Labs View all jobs
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $95,200.0 - $142,800.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Bash Shell, Cloud Computing, Continuous Integration, Linux, DevOps, Github, Python (Programming Language), Key Management, Ansible, Prometheus, TypeScript, Datadog, Pulumi, Cloud Platform System, System Availability, Grafana, Model Validation, Git, Cloudformation, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Free and Open-Source Software, Software Coding, Terraform, Docker, Jenkins, Golang
- **Published:** August 27, 2026
- **Apply:** https://www.careerjet.com/jobad/usd3c870d482494127f30fe0c6d7f50e0e

## About the Role

We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.
No prior AI experience is required-your DevOps expertise and engineering judgment are what matter most., * Kubernetes

 * Terraform
 * CI/CD
 * Python
 * Linux
 * Docker
 * Git
 * Cloud Platforms
 * Infrastructure as Code, * 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
 * Strong coding skills in Python, Go, Bash, or TypeScript.
 * Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
 * Practical experience with Docker, Kubernetes, and at least one major cloud platform.
 * Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
 * Advanced Linux and Git skills.
 * Strong written and spoken English.
 * Availability of at least 20 hours per week.

Preferred Qualifications

 * Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
 * Background in security, secrets management, or platform reliability.
 * Open-source contributions or technical writing experience.
 * Previous experience with AI training data or model evaluation.

## Description

* Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
 * Create working reference solutions with clear setup and validation steps.
 * Review AI-generated solutions, identify failures, and provide precise technical corrections.
 * Maintain high standards for correctness, reliability, and reproducibility.
 * Provide structured feedback to improve AI-generated DevOps workflows.


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