Site Reliability Engineering (SRE) - Remote

Location: Remote

Company

hirify.global provides consulting and expert evaluation services for software development, cloud infrastructure, DevOps, SRE, and platform engineering workflows.

What you will do

• Test and validate AI-assisted workflows across DevOps, cloud infrastructure, SRE, and platform engineering.
• Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
• Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, and observability environments.
• Review workflows involving GitHub, GitLab, Azure DevOps, JIRA, Slack, Google Drive, and Microsoft 365.
• Identify technical errors, security risks, reliability concerns, and workflow gaps.
• Document findings, recommend improvements, and collaborate with project stakeholders through written evaluations and virtual discussions.

Requirements

• Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
• Strong knowledge of Azure DevOps, cloud infrastructure, platform engineering, AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, and observability.
• Experience with GitHub, GitLab, Azure DevOps, and JIRA.
• Experience with AI agents and tools 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.

Nice to have

• Experience with workplace connectors, automation, or AI-powered infrastructure workflows.

Culture & Benefits

• Remote collaboration with project stakeholders.
• Contractor role focused on practical, real-world engineering evaluations.
• No prior AI experience is required; infrastructure and technical engineering expertise are the primary focus.