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Site Reliability Engineer Remote Jobs in Arizona

YO AI Labs

DevOps Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software

YO AI Labs

Infrastructure Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software

YO AI Labs

DevOps Engineer - Remote

Phoenix, AZ · Remote

$50 - $150/hr

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for

micro1 AI

Senior Database Reliability Engineer

Mesa, AZ · Remote

$220K - $260K/yr

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting,

micro1 AI

Senior Database Reliability Engineer

Peoria, AZ · Remote

$220K - $260K/yr

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting,

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Site Reliability Engineer Remote information

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

As of Sep 12, 2026, the average hourly pay for site reliability engineer remote in Arizona is $59.40, according to ZipRecruiter salary data. Most workers in this role earn between $51.06 and $67.88 per hour, depending on experience, location, and employer.

What is a site reliability engineer remote?

A Site Reliability Engineer (SRE) in a remote role is responsible for ensuring the reliability, performance, and scalability of software systems while working from a remote location. They bridge the gap between development and operations by implementing automation, monitoring, and incident response strategies. Remote SREs collaborate with distributed teams to improve infrastructure, troubleshoot issues, and optimize system performance. Strong communication skills, proficiency in cloud technologies, and expertise in software development are essential for success in this role.

What are the key skills and qualifications needed to thrive as a site reliability engineer remote?

To thrive as a Site Reliability Engineer Remote, you need expertise in systems administration, cloud infrastructure, automation, coding (often in Python or Go), and a solid grasp of networking fundamentals, usually demonstrated with a degree in computer science or equivalent experience. Familiarity with tools such as Docker, Kubernetes, AWS/GCP/Azure, monitoring platforms like Prometheus, and certifications like AWS Certified SysOps Administrator are highly valued. Excellent problem-solving, communication, and collaboration skills are essential, especially when troubleshooting incidents and passing information across distributed teams. These abilities ensure reliable, scalable services and smooth coordination in a remote work environment.

What are some common challenges faced by site reliability engineers working remotely, and how are they addressed?

Site Reliability Engineers working remotely may encounter challenges like coordinating across multiple time zones, maintaining clear communication during urgent incidents, and managing complex systems without direct on-site access. These are often addressed by leveraging collaborative tools (like Slack, Zoom, and incident management platforms), implementing well-documented processes, and participating in regular team syncs or on-call rotations. Remote SREs also benefit from automation and observability practices that provide in-depth systems insights without needing physical presence. Many organizations support their success through robust onboarding, continuous training, and establishing clear lines of communication for rapid response scenarios. This blend of technical and teamwork strategies helps remote SREs maintain service reliability and stay connected with their colleagues.

What are the most commonly searched types of Site Reliability Engineer jobs in Arizona?

The most popular types of Site Reliability Engineer jobs in Arizona are:

What are popular job titles related to Site Reliability Engineer Remote jobs in Arizona?

For Site Reliability Engineer Remote jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Site Reliability Engineer Remote jobs in Arizona look for?

The top searched job categories for Site Reliability Engineer Remote jobs in Arizona are:

What cities in Arizona are hiring for Site Reliability Engineer Remote jobs?

Cities in Arizona with the most Site Reliability Engineer Remote job openings:

Site Reliability Engineer Remote jobs near you
Infographic showing various Site Reliability Engineer Remote job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $123,553 per year, or $59.4 per hour.

Site Reliability Engineering(SRE) - Remote

Phoenix, AZ • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 17 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.