Remote SRE & Infrastructure Engineer: AI Workflows

YO AI Labs

San Francisco (CA)

Remote

USD 90,000 - 130,000

Part time

4 days ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

YO AI Labs is seeking an experienced Developer & Infrastructure Expert for remote contractor work. You will evaluate AI-powered workflows spanning DevOps, cloud, SRE, and platform engineering, testing AI-generated commands and configurations, and providing actionable feedback based on real-world engineering standards.

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

Qualifications

Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.

Responsibilities

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
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, and Microsoft 365.
Identify technical errors, security or reliability concerns, and workflow gaps.
Document findings and provide clear, actionable feedback.
Recommend improvements based on real-world engineering practices and industry standards.
Collaborate remotely with project stakeholders through written evaluations and virtual discussions.