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# Site Reliability Engineering - Remote

- **Company:** YO AI Labs View all jobs
- **Location:** Miami, FL, United States (Remote available)
- **Salary:** $62,400.0 - $166,400.0
- **Contract:** Contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Amazon Web Services, JIRA, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Github, Project Management Software, Reliability Engineering, Software Engineering, Google Cloud, Google Drive, Delivery Pipeline, Grafana, Gitlab, Kubernetes, Slack, Terraform, GPT, Docker
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us9c74f625aadbbf18a2682e1559699528

## About the Role

* 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.

## Description

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 required-your technical expertise and infrastructure knowledge are what matter most., * 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, Kforce has a client seeking a Test Automation Engineer in Miami, FL (Florida). Responsibilities: Design, develop, and maintain automated validation tests for applications, infrast…
 + 3 days ago


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