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Remote Reliability Manager Jobs (NOW HIRING)

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Senior Manager, Site Reliability Engineering

$186K - $300K/yr

We are seeking a Senior Manager of SRE who operates with a Customer-First mindset and a strong ... Employee is not required to be in or near an office frequently and works from a designated remote ...

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Remote Reliability Manager information

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$62K

$117.5K

$168.5K

How much do remote reliability manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote reliability manager in the United States is $117,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Reliability Manager vs Remote Maintenance Engineer?

AspectRemote Reliability ManagerRemote Maintenance Engineer
CredentialsEngineering degree, certifications in reliability or asset managementEngineering degree, certifications in maintenance or technical skills
Work EnvironmentOversees reliability strategies remotely, collaborates with teamsPerforms maintenance tasks remotely or on-site, technical troubleshooting
Industry UsageUsed across manufacturing, energy, and industrial sectorsCommon in manufacturing, utilities, and industrial facilities
Search IntentComparing reliability management roles with maintenance rolesLooking for maintenance-focused remote engineering jobs

The Remote Reliability Manager focuses on developing and implementing strategies to improve asset reliability remotely, often overseeing teams and analyzing data. In contrast, the Remote Maintenance Engineer handles technical maintenance tasks, troubleshooting, and repairs remotely or on-site. Both roles require engineering credentials and are prevalent in industrial sectors, but their core responsibilities differ—one emphasizes strategic reliability management, the other technical maintenance execution.

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Remote Reliability Manager jobs near you
Infographic showing various Remote Reliability Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $117,488 per year, or $56.5 per hour.

Site Reliability Engineering(SRE) - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 18 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.