AI-Powered DevOps & Cloud Engineer (Remote Contractor)

YO AI Labs

San Francisco (CA)

Remote

USD 74,000 - 148,000

Full time

4 days ago
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Job summary

YO AI Labs is seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge matter most.

Qualifications

  • Hands-on software/devops infrastructure experience across cloud platforms and SRE practices.
  • Experience evaluating AI-assisted workflows and automation in production-like environments.
  • Strong written and verbal communication with ability to provide actionable feedback.

Responsibilities

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

Skills

Azure DevOps
Cloud Infrastructure
Site Reliability Engineering
Platform Engineering
AWS
Azure
GCP
Kubernetes
Docker
Terraform
CI/CD
GitHub
GitLab
JIRA
Observability
AI Agents
ChatGPT Work
Claude Code
Claude Cowork
Workplace Connectors

Tools

Kubernetes
Docker
Terraform
CI/CD
GitHub
GitLab
JIRA

Job description

YO AI Labs is seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge matter most.

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