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Remote Contract Reliability Engineer Jobs (NOW HIRING)

OPAL Fuels Inc.

Reliability Engineer

$104K - $132K/yr

The Reliability Engineer serves as the technical owner of fleet reliability programs, including ... This is a remote position; however, preference will be given to candidates residing in the ...

APPLY

Site Reliability Engineer (SRE)

$58.25 - $77.50/hr

APPLY is hybrid/remote-friendly. The preferred candidate should be based in Latin America ... This is a hybrid SRE/Service Desk role designed for someone who is passionate about reliability ...

Sphere Partners

Site Reliability Engineer

Chicago, IL · On-site +1

$58.75 - $78/hr

Contract Details * Notice - 1-2 weeks * 1099 contract / contractor / B2B * Term - 3-6 months with ... About the Role As a Site Reliability Engineer , you will own and improve the reliability ...

PROLIM Global Corporation

Reliability Engineer 3

$104K - $132K/yr

Title - Reliability Engineer Location - Lewisville, Ohio, USA (remote is fine as well) Years - 7 to 10 years The below certification is must to have! * Mandatory Certified Maintenance and Reliability ...

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 ...

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Remote Contract Reliability Engineer information

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How much do remote contract reliability engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote contract reliability engineer in the United States is $117,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $129,000.00 per year, depending on experience, location, and employer.

What is a remote contract reliability engineer?

Remote Contract Reliability Engineers are professionals who work remotely, usually on a contract basis, to ensure that systems, equipment, or software operate reliably and efficiently. Their main focus is on analyzing data, troubleshooting issues, and implementing improvements to enhance the dependability and performance of products or processes. They collaborate with teams virtually to identify potential failures, recommend solutions, and help organizations minimize downtime and maintenance costs. Their work spans various industries such as manufacturing, technology, and energy, and typically involves using specialized tools and methodologies to predict and prevent problems before they occur.

How does a remote contract reliability engineer typically collaborate with on-site teams and stakeholders?

As a Remote Contract Reliability Engineer, you will frequently collaborate with on-site teams through virtual meetings, project management platforms, and real-time data sharing tools. Strong communication skills are essential, as you'll provide recommendations, troubleshoot issues, and review maintenance or performance data remotely. You may also participate in regular status updates and coordinate with cross-functional teams—such as operations, maintenance, and safety—to implement reliability improvements and ensure asset uptime. Successful remote collaboration often relies on proactive communication and clear documentation of your analyses and recommendations.

What are the key skills and qualifications needed to thrive as a remote contract reliability engineer, and why are they important?

To thrive as a Remote Contract Reliability Engineer, you need a solid background in reliability engineering, failure analysis, and maintenance planning, often supported by a degree in engineering and relevant industry experience. Familiarity with reliability analysis software (like ReliaSoft), asset management systems, and certifications such as Certified Reliability Engineer (CRE) are typically required. Strong problem-solving, communication, and self-motivation skills are essential for effectively collaborating and delivering results in a remote, contract-based environment. These skills ensure the engineer can optimize system reliability, reduce downtime, and meet client expectations efficiently from a remote location.

What is the difference between Remote Contract Reliability Engineer vs Remote Contract Maintenance Technician?

AspectRemote Contract Reliability EngineerRemote Contract Maintenance Technician
CredentialsEngineering degree, certifications like Six Sigma or Reliability EngineeringTechnical diploma or certifications in maintenance or HVAC
Work EnvironmentDesigning reliability strategies, analyzing data remotely, consultingPerforming repairs, inspections, and preventive maintenance remotely or on-site
Employer & Industry UsageManufacturing, energy, aerospace industriesManufacturing plants, facilities management, industrial sectors

The Remote Contract Reliability Engineer focuses on analyzing systems, improving reliability, and providing remote consulting, while the Remote Contract Maintenance Technician handles hands-on repairs and maintenance tasks. Both roles may work remotely or on-site, but their core responsibilities and required skills differ significantly.

More about Remote Contract Reliability Engineer jobs

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Remote Contract Reliability Engineer jobs near you
Infographic showing various Remote Contract Reliability Engineer job openings in the United States as of September 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,973 per year, or $56.7 per hour.

Site Reliability Engineering(SRE) - Remote

Seattle, WA • 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.