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Temporary Remote Devops Sre Engineer Jobs (NOW HIRING)

Solidus Labs

DevOps/SRE

Manhattan, NY · On-site +1

$62.50 - $83/hr

The Role We are seeking an experienced New York-based DevOps / Site Reliability Engineer to join our DevOps team and own the reliability, stability, and operational support of our production systems.

Nextgen

Sr. Cloud Operations Reliability Engineer (SRE)

$58.25 - $77.50/hr

Advanced certifications in Kubernetes, Terraform, observability platforms, DevOps, Site Reliability Engineering (SRE), or ITIL. Knowledge, Skills & Abilities: * Knowledge of:Working knowledge of CI ...

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How much do temporary remote devops sre engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for temporary remote devops sre engineer in the United States is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $72.84 per hour, depending on experience, location, and employer.
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Temporary Remote Devops Sre Engineer jobs near you
Infographic showing various Temporary Remote Devops Sre Engineer job openings in the United States as of September 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

DevOps Expert - Remote

Phoenix, AZ • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 15 days ago

Job description

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 required—your 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.