Remote DevOps Engineer — Task Design & AI Evaluation

engineeringjobs.net, Inc.; New York (NY); Remote; USD 69,000 - 138,000; Full time

Job summary

24-MAG LLC is seeking experienced DevOps, SRE, Platform, and Infrastructure Engineers to contribute to an advanced AI training and technical evaluation project. Candidates should have hands-on cloud infra, Kubernetes, Terraform, CI/CD, Python, Linux, and IaC skills to design realistic tasks and reference solutions.

Selected contractors will craft production-style scenarios, build reproducible references, and deliver precise AI-output evaluations with thorough corrections, ensuring correctness

Qualifications

• 3 years of professional DevOps/SRE/Platform experience.
• Strong coding ability in Python, Go, Bash or TypeScript.
• Hands-on experience with CI/CD systems (GitHub Actions, GitLab CI, Jenkins).
• Expertise with Docker and Kubernetes.
• Experience with Terraform, Ansible, Pulumi, CloudFormation, or similar IaC tools.
• Experience with at least one major cloud platform (AWS, GCP, or Azure).
• Advanced Linux and Git proficiency.
• Excellent written and spoken English.

Responsibilities

• Design production-style DevOps tasks and evaluation scenarios.
• Create reference solutions with setup, execution, and validation steps.
• Review AI-generated outputs and write precise corrective feedback.
• Assess scalability, reliability, and security of infrastructure tasks.
• Document assumptions, dependencies, and environment requirements.
• Ensure reproducibility and clear evaluation criteria.

Skills

Python

Go

Bash

TypeScript

Tools

Docker

Kubernetes

Terraform

Ansible

Pulumi

CloudFormation

GitHub Actions

GitLab CI

Jenkins

Job description

24-MAG LLC is seeking experienced DevOps, SRE, Platform, and Infrastructure Engineers to contribute to an advanced AI training and technical evaluation project. Candidates should have hands-on cloud infra, Kubernetes, Terraform, CI/CD, Python, Linux, and IaC skills to design realistic tasks and reference solutions.

Selected contractors will craft production-style scenarios, build reproducible references, and deliver precise AI-output evaluations with thorough corrections, ensuring correctness