Remote SRE & Cloud Infra Engineer

YO AI Labs; Palo Alto (CA); Remote; USD 83,000 - 165,000; Full time

Job summary

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

Work remotely with stakeholders; review AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, and issue tracking tools like GitHub, GitLab, Azure DevOps, and JIRA.

Qualifications

• Experience evaluating AI-powered workflows across cloud and devops environments.
• Hands-on experience with cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
• Ability to evaluate technical processes and provide actionable feedback.
• Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.

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.
• Review workflows involving AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
• Assess AI agents and workplace connectors across tools like Slack, Google Drive, and Microsoft 365.
• Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
• Document findings and provide clear, actionable feedback.

Skills

Cloud Infrastructure

Site Reliability Engineering

Platform Engineering

Observability

AI Agents

Workplace Connectors

ChatGPT Work

Claude Code

Claude Cowork

Tools

AWS

Azure

GCP

Kubernetes

Docker

Terraform

CI/CD

GitHub

GitLab

JIRA

Job description

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

Work remotely with stakeholders; review AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, and issue tracking tools like GitHub, GitLab, Azure DevOps, and JIRA.