Remote DevOps & AI Infrastructure Evaluator

YO AI Labs; Washington (District of Columbia); Remote; USD 83,000 - 165,000; Full time

Job summary

YO AI Labs seeks a Developer & Infrastructure Expert to evaluate AI-powered workflows across DevOps, cloud infra, SRE, and platform engineering. You will test AI-generated commands and configurations, providing practical feedback based on real-world engineering standards.

No AI background required—strong infrastructure knowledge and hands-on tooling with AWS/Azure/GCP, Kubernetes, Docker, Terraform, CI/CD, GitHub/GitLab/JIRA, and observability are essential.

Qualifications

• Experience with cloud platforms (AWS/Azure/GCP) and cloud infrastructure design.
• Hands-on with Kubernetes, Docker, and Terraform.
• Experience with CI/CD, observability tools, and incident response.

Responsibilities

• Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
• Evaluate AI-generated commands, configurations, and deployment workflows.
• Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
• Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
• Assess AI agents and workplace connectors across Slack, Google Drive, Microsoft 365.
• Identify technical errors, security or reliability concerns, and workflow gaps.
• Document findings and provide actionable feedback.
• Recommend improvements based on real-world engineering practices.
• Collaborate remotely with stakeholders via written evaluations and virtual discussions.

Skills

Azure DevOps

Cloud Infrastructure

SRE

Platform Engineering

AWS / Azure / GCP

Kubernetes / Docker

Terraform

CI/CD

GitHub / GitLab / JIRA

Observability

ChatGPT Work

Claude Code

Claude Cowork

AI Agents

Workplace Connectors

Tools

Kubernetes

Docker

Terraform

CI/CD Tools

GitHub Actions

Job description

YO AI Labs seeks a Developer & Infrastructure Expert to evaluate AI-powered workflows across DevOps, cloud infra, SRE, and platform engineering. You will test AI-generated commands and configurations, providing practical feedback based on real-world engineering standards.

No AI background required—strong infrastructure knowledge and hands-on tooling with AWS/Azure/GCP, Kubernetes, Docker, Terraform, CI/CD, GitHub/GitLab/JIRA, and observability are essential.