Remote AI-Powered DevOps & Infrastructure Specialist

YO AI Labs; New York (NY); Remote; USD 90,000 - 130,000; Full time

Job summary

YO AI Labs is seeking a contractor-level Developer & Infrastructure Expert to test AI-driven workflows across DevOps, cloud, and platform engineering in a remote setting. The role emphasizes evaluating AI-generated commands, configurations, and deployment scripts for reliability and security, without requiring prior AI experience.

Candidates should have hands-on experience with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD, plus familiarity with GitHub, GitLab, and JIRA.

Qualifications

• Experience in software engineering, DevOps, SRE, cloud, platform, or infra engineering.
• Hands-on with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
• Experience using GitHub, GitLab, Azure DevOps, and JIRA in projects.

Responsibilities

• Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
• Evaluate AI-generated commands, configurations, scripts, and deployments for accuracy.
• Review and test workflows in AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD.
• Assess workflows in GitHub, GitLab, Azure DevOps, and JIRA environments.
• Evaluate AI agents and workplace connectors like Slack, Google Drive, and Microsoft 365.
• Identify technical errors, security or reliability concerns, and workflow gaps.
• Document findings with actionable feedback and concrete improvements.
• Collaborate remotely with stakeholders via written evaluations and 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

AWS

Azure

GCP

Kubernetes

Docker

Terraform

CI/CD

GitHub

GitLab

JIRA

Job description

YO AI Labs is seeking a contractor-level Developer & Infrastructure Expert to test AI-driven workflows across DevOps, cloud, and platform engineering in a remote setting. The role emphasizes evaluating AI-generated commands, configurations, and deployment scripts for reliability and security, without requiring prior AI experience.

Candidates should have hands-on experience with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD, plus familiarity with GitHub, GitLab, and JIRA.