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Remote Site Reliability Engineer Intern Jobs (NOW HIRING)

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Site Reliability Engineer - SRE

Atlanta, GA · On-site +1

$54.25 - $72/hr

Role: Site Reliability Engineer * Location: Atlanta, GA OR Dallas OR Austin, TX * Duration ... Remote Possible, however candidates will move to work onsite/Hybrid eventually. Please make sure ...

Palnar

SRE

$58.25 - $77.50/hr

Job Role: SRE Location: 100% Remote Role Duration Long Term contract , * Includes Splunk, Dynatrace, Kubernetes, Incident management, support, Trouble shooting and Leadership skills * Serve as a ...

Zscaler

Site Reliability Engineer-SkillBridge Intern

$58.25 - $77.50/hr

Role We are looking for a Site Reliability Engineer-SkillBridge Intern (San Jose CA or Bellevue WA ... This is a remote role based in San Jose CA or Bellevue WA, reporting to the Director, Site ...

Right Skale, Inc.

Staff Site Reliability Engineer

$58.25 - $77.50/hr

Staff Site Reliability Engineer (SRE) - Contract - Remote (US) Platform & Enablement Squads | Tier-0 Systems We are seeking a Staff-level Site Reliability Engineer to scale reliability maturity ...

TekCommands Inc

GCP Site Reliability Engineer

Buffalo Grove, IL · Remote

$58.25 - $77.50/hr

Remote or Hybrid (Buffalo Grove, IL) Job Type: Contract Job Summary We are seeking a Google Site Reliability Engineer (SRE) to build, operate, and support highly available, scalable, and secure cloud ...

Corporate Tools

Site Reliability Engineer

Post Falls, ID · On-site +1

$175K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... Our Site Reliability Engineer should help keep our systems steady, secure, and running like a well ...

Stefanini Group

Cloud Site Reliability Engineer

Dallas, TX · Remote

$56.50 - $75/hr

Stefanini is looking for Cloud Site Reliability Engineer - Remote For quick apply, please contact Sudhanshu.Shrivastava; Ph: 248 582 6510 Sudhanshu.shrivastava@stefanini.com W2 Candidates only! About ...

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Remote Site Reliability Engineer Intern information

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$10

$63

$91

How much do remote site reliability engineer intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote site reliability engineer intern 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 Remote Site Reliability Engineer Intern vs Remote DevOps Engineer Intern?

AspectRemote Site Reliability Engineer InternRemote DevOps Engineer Intern
FocusEnsuring system reliability, uptime, and performanceAutomating deployment, integration, and infrastructure management
SkillsMonitoring, incident response, scripting, cloud platformsCI/CD, automation tools, scripting, cloud services
Work EnvironmentCollaborates with SRE and operations teamsWorks with development and operations teams
CertificationsOften preferred: Linux, cloud certificationsOften preferred: Linux, cloud, and automation certifications

While both roles involve cloud and scripting skills, the Remote Site Reliability Engineer Intern focuses on system stability and uptime, whereas the Remote DevOps Engineer Intern emphasizes automation and deployment processes. Understanding these differences helps candidates target their skills and career goals effectively.

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Remote Site Reliability Engineer Intern jobs near you
Infographic showing various Remote Site Reliability Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Site Reliability Engineering(SRE) - Remote

YO AI Labs

Seattle, WA • Remote

$30 - $80/hr

Full-time

Posted 8 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.