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Full Time Remote Devops Sre Engineer information

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$10

$63

$91

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

As of Sep 15, 2026, the average hourly pay for full time 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.

What is the difference between Full Time Remote Devops Sre Engineer vs Full Time Remote Cloud Engineer?

AspectFull Time Remote Devops Sre EngineerFull Time Remote Cloud Engineer
CredentialsTypically requires certifications like AWS, Azure, or Google Cloud, plus DevOps/SRE-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP) and cloud architecture knowledge
Work EnvironmentFocuses on maintaining infrastructure, automation, and reliability within DevOps/SRE teamsDesigns, deploys, and manages cloud-based solutions and infrastructure
Industry UsageCommon in tech, finance, and e-commerce sectors emphasizing system reliabilityUsed across industries adopting cloud solutions for scalability and flexibility

While both roles involve cloud and infrastructure skills, Full Time Remote Devops Sre Engineers focus on system reliability, automation, and incident response, whereas Full Time Remote Cloud Engineers primarily design and manage cloud infrastructure. The roles often overlap but serve different core functions within IT teams.

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Full Time Remote Devops Sre Engineer jobs near you
Infographic showing various Full Time Remote Devops Sre Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Site Reliability Engineering(SRE) - Remote

Palo Alto, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 19 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.