Remote AI Workflow Engineer for DevOps & Cloud

YO AI Labs

Palo Alto (CA)

Remote

USD 83,000 - 165,000

Full time

5 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 deployment workflows, providing practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most for this contractor-style engagement.

Qualifications

Extensive experience in cloud platforms (AWS/Azure/GCP) and infrastructure engineering.
Strong track record in DevOps, SRE, and platform engineering practices.
Experience evaluating AI-driven workflows and integration points in software delivery pipelines.
Familiarity with Git-based workflows (GitHub, GitLab) and project tools (JIRA).

Responsibilities

Test and validate AI-assisted workflows across DevOps, cloud infrastructure, and platform engineering.
Evaluate AI-generated commands, configurations, and deployment workflows for accuracy and reliability.
Collaborate 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 actionable feedback.
Recommend improvements based on real-world engineering practices and industry standards.
Collaborate remotely with project stakeholders through written evaluations