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Remote Contract Reliability Engineer Jobs (NOW HIRING)

System One

Site Reliability Engineer (SRE)

Mclean, VA · Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public Trust clearance. What You Will Do We are seeking a Site Reliability Engineer (SRE) to support the SBA ...

System One

Site Reliability Engineer (SRE)

Mclean, VA · Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public Trust clearance. What You Will Do We are seeking a Site Reliability Engineer (SRE) to support the SBA ...

System One

Site Reliability Engineer (SRE)

Mclean, VA · Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public Trust clearance. What You Will Do We are seeking a Site Reliability Engineer (SRE) to support the SBA ...

System One

Site Reliability Engineer (SRE)

Mclean, VA · Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public Trust clearance. What You Will Do We are seeking a Site Reliability Engineer (SRE) to support the SBA ...

System One

Site Reliability Engineer (SRE)

Mclean, VA · Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public Trust clearance. What You Will Do We are seeking a Site Reliability Engineer (SRE) to support the SBA ...

Simple Solutions

SRE Sr Leader- REMOTE

Jacksonville, FL · On-site +1

$75 - $95/hr

SRE Sr Leader Remote 6 Months We are seeking an SRE Senior Leader to drive system uptime, performance, and scalability by blending software engineering with operational expertise. They lead teams to ...

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

As of Jul 15, 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 are Remote Contract Reliability Engineers?

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.

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.

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 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
What cities are hiring for Remote Contract Reliability Engineer jobs? Cities with the most Remote Contract Reliability Engineer job openings:
What states have the most Remote Contract Reliability Engineer jobs? States with the most job openings for Remote Contract Reliability Engineer jobs include:
What job categories do people searching Remote Contract Reliability Engineer jobs look for? The top searched job categories for Remote Contract Reliability Engineer jobs are:
Remote Contract Reliability Engineer jobs near you
Infographic showing various Remote Contract Reliability Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $117,973 per year, or $56.7 per hour.
Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Imagine Staffing Technology

Buffalo, NY • Remote

$55.25 - $73.50/hr

Full-time

Posted 15 days ago

Job description

Job Title: Solution Architect – AI Platform Reliability & SRE (Mythos SRE)
Location: Remote (Within USA)
Hire Type: Contract
Pay Range: Competitive Hourly Rate
Work Model: Remote with periodic travel to Buffalo, NY
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
NO C2C, NO sponsorship given at this time
Nature & Scope:
Positional Overview
Our client is seeking an experienced Solution Architect to support the reliability, scalability, observability, and operational excellence of its enterprise AI platform, Mythos. This role serves as the solution architecture extension of Enterprise Architecture and AI Platform teams, translating strategic platform designs into detailed operational architectures that enable highly available, resilient, and scalable AI services.
The Solution Architect will partner closely with Site Reliability Engineering (SRE), Platform Engineering, Infrastructure, Cloud Operations, and Application Development teams to establish architecture patterns and operational frameworks that support enterprise AI workloads across cloud and co-location environments.
This position is ideal for a hands-on architect with expertise in cloud infrastructure, platform engineering, observability, reliability engineering, and large-scale distributed systems.
Role & Responsibility:
Tasks That Will Lead To Your Success
AI Platform Reliability Architecture
  • Translate enterprise AI platform architecture into detailed operational and infrastructure solution designs.
  • Define reliability, scalability, resiliency, and availability architecture standards for AI workloads.
  • Develop architecture patterns supporting highly available and fault-tolerant AI services.
  • Support enterprise AI platform growth through scalable infrastructure and platform design.
  • Establish architecture guidance for production readiness and operational excellence.
Site Reliability Engineering & Operational Excellence
  • Define architecture patterns supporting SRE best practices across AI platforms.
  • Support implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget frameworks.
  • Develop operational readiness standards and deployment validation processes.
  • Establish reliability engineering practices that improve system stability and performance.
  • Partner with engineering teams to improve incident prevention, detection, and response capabilities.
Scalability & Performance Optimization
  • Design solutions supporting large-scale AI workloads and model-serving environments.
  • Establish architecture patterns that optimize platform performance and resource utilization.
  • Support capacity planning and infrastructure scaling strategies.
  • Identify performance bottlenecks and recommend architectural improvements.
  • Collaborate with engineering teams to improve application and platform efficiency.
Observability & Monitoring
  • Design enterprise observability frameworks supporting AI platform operations.
  • Establish telemetry standards providing visibility into system health, model performance, operational metrics, and risk indicators.
  • Define monitoring, alerting, logging, and tracing strategies.
  • Support implementation of observability tools and telemetry platforms.
  • Ensure operational teams have actionable insights supporting platform reliability and performance.
Infrastructure & Automation
  • Develop architecture guidance for Infrastructure as Code (IaC) and platform automation.
  • Support CI/CD pipeline architecture and deployment automation strategies.
  • Establish repeatable operational patterns supporting cloud and co-location environments.
  • Promote infrastructure standardization and operational consistency.
  • Collaborate with Platform Engineering teams on automation and operational tooling initiatives.
AI Operational Governance
  • Support architecture strategies for AI model monitoring and drift detection.
  • Establish operational frameworks supporting AI governance and platform controls.
  • Define reliability patterns for embedded AI capabilities within enterprise applications.
  • Ensure platform operations align with enterprise security, compliance, and risk management standards.
Cross-Functional Collaboration
  • Partner with Enterprise Architects, Platform Engineering, Infrastructure, Security, Observability, and Development teams.
  • Participate in architecture reviews, design workshops, and Agile ceremonies.
  • Provide technical guidance throughout the SDLC from design through production deployment.
  • Validate architecture decisions and ensure adherence to enterprise reliability standards.
  • Contribute operational insights that influence future platform architecture decisions.
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related discipline.
  • 5+ years of experience in Solution Architecture, Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Architecture.
  • Experience designing highly available, scalable, and resilient distributed systems.
  • Strong understanding of cloud infrastructure and platform architecture principles.
  • Experience supporting production operations and enterprise-scale technology environments.
  • Knowledge of observability, monitoring, logging, and telemetry frameworks.
  • Experience with Infrastructure as Code and deployment automation concepts.
  • Strong communication and stakeholder management skills.
Preferred Qualifications
Experience supporting AI, Machine Learning, or Generative AI platforms.
Experience with Kubernetes, container orchestration, and cloud-native technologies.
Familiarity with observability platforms such as Datadog, Dynatrace, Grafana, Prometheus, Splunk, or OpenTelemetry.
Experience implementing SLI, SLO, and error budget frameworks.
Experience with Infrastructure as Code technologies such as Terraform or CloudFormation.
Cloud certifications within Azure, AWS, or Google Cloud.
Financial services experience preferred.
Experience supporting highly regulated enterprise environments.
Team & Environment
Works closely with Enterprise Architecture, Platform Engineering, Infrastructure, SRE, Security, and Application Development teams.
Serves as a key architecture resource supporting enterprise AI platform operations.
Participates in highly collaborative Agile teams.
Provides technical leadership supporting reliability and operational excellence initiatives.
Work Schedule & Travel
Schedule
  • Monday – Friday
  • Standard business hours
  • Flexible remote work environment
Travel
  • Occasional travel to Buffalo, NY
  • Approximately every 4–6 weeks as required
Compensation & Benefits
  • Competitive hourly compensation
  • Long-term contract engagement
  • Remote work flexibility
  • Opportunity to influence enterprise-wide AI strategy and adoption
Why Join This Opportunity?
This is a unique opportunity to help build and operate next-generation AI platforms at enterprise scale. The successful candidate will play a critical role in ensuring the reliability, resilience, observability, and operational success of AI technologies that support strategic business initiatives across the organization.