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Site Reliability Engineering Remote

YO AI Labs


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 25 August 2026 (4 hours ago)
Application Deadline: 22 November 2026
Vacancies: 1 Vacancy

Job Summary

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are 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 requiredyour technical expertise and infrastructure knowledge are what matter most.

Key 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 tools such as 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.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (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
Preferred 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.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors automation or AI-powered infrastructure workflows is a plus.