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Remote Mechanical Reliability Engineer Jobs in Texas

ASCENDING LLC

Site Reliability Engineer

Austin, TX · Remote

$56.50 - $75/hr

Citizenship / No clearance needed / 100% remote within the US Staff Site Reliability Engineer ... Develop and implement comprehensive monitoring, logging, and alerting mechanisms to ensure optimal ...

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 ...

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 ...

Above Group

Remote Mechanical Engineer (ME)

Dallas, TX · On-site +1

$75K - $95K/yr

Mechanical Engineer Salary: $75K - $95K Above Group Overview We offer you the opportunity to put ... Desire and ability to work remote. Local candidates will have the option to work in the office or ...

New

Above Group

Remote Mechanical Engineer (ME)

Dallas, TX · On-site +1

$75K - $95K/yr

Mechanical Engineer Salary: $75K - $95K Above Group Overview We offer you the opportunity to put ... Desire and ability to work remote. Local candidates will have the option to work in the office or ...

New

Cisco

Site Reliability Engineer, Linux (Remote)

Austin, TX · On-site +1

$56.50 - $75/hr

This is a remote role based out of the US. The successful applicant may be performing work in ... S. soil. MEET THE TEAM The Linux SRE team at Cisco serves as the foundational backbone of our ...

YO AI Labs

DevOps Expert - Remote

Dallas, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

YO AI Labs

DevOps Expert - Remote

Houston, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

YO AI Labs

DevOps Expert - Remote

Austin, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

Rackspace

Site Reliability Engineer

Windcrest, TX · Remote

$51.50 - $68.25/hr

US REMOTE** **WORK FROM HOME** Rackspace Professional Services is helping customers solve business challenges using Kubernetes. RPS is seeking Kubernetes DevOps engineers who can help guide clients ...

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Remote Mechanical Reliability Engineer information

What does a remote mechanical reliability engineer do?

A Remote Mechanical Reliability Engineer is responsible for ensuring the reliability and optimal performance of mechanical systems and equipment, often working from a remote location. They analyze data, identify potential failure points, develop maintenance strategies, and recommend design improvements to increase equipment uptime and lifespan. These engineers collaborate with onsite teams, use specialized software for monitoring, and may also support troubleshooting and root cause analysis remotely. Their work helps organizations minimize unplanned downtime and reduce maintenance costs.

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

To thrive as a Remote Mechanical Reliability Engineer, you need a solid background in mechanical engineering, experience with reliability analysis, and typically a bachelor's degree in engineering. Familiarity with reliability-centered maintenance (RCM) tools, predictive analytics software, and Computerized Maintenance Management Systems (CMMS) is often required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for collaborating remotely and analyzing data independently. These competencies ensure accurate reliability assessments and effective maintenance strategies, driving equipment uptime and operational efficiency from a remote setting.

How does a remote mechanical reliability engineer typically collaborate with onsite teams to address equipment issues?

Remote Mechanical Reliability Engineers frequently work alongside onsite engineers, maintenance staff, and operations teams to troubleshoot and resolve equipment reliability concerns. Collaboration is facilitated through virtual meetings, real-time data sharing platforms, and remote monitoring tools. Clear communication and effective documentation are key, as remote engineers must interpret equipment data and provide actionable recommendations while relying on local teams for physical inspections and repairs. Building strong relationships with onsite personnel is essential for timely problem-solving and continuous improvement.

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

AspectRemote Mechanical Reliability EngineerMechanical Maintenance Engineer
CredentialsBachelor's in Mechanical Engineering, certifications like RCM or FMEABachelor's in Mechanical Engineering or related field, certifications like HVAC or CMMS experience
Work EnvironmentPrimarily office-based, remote collaboration, data analysisOn-site plant or facility, hands-on equipment maintenance
Industry UsageManufacturing, energy, oil & gas, where reliability analysis is keyManufacturing, facilities management, industrial plants

The Remote Mechanical Reliability Engineer focuses on analyzing and improving equipment reliability remotely, often through data analysis and predictive maintenance. In contrast, the Mechanical Maintenance Engineer performs hands-on repairs and maintenance on-site. Both roles require mechanical engineering knowledge, but their work environments and daily tasks differ significantly.

What are the most commonly searched types of Mechanical Reliability Engineer jobs in Texas?

The most popular types of Mechanical Reliability Engineer jobs in Texas are:

What are popular job titles related to Remote Mechanical Reliability Engineer jobs in Texas?

For Remote Mechanical Reliability Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Reliability Engineer jobs in Texas look for?

The top searched job categories for Remote Mechanical Reliability Engineer jobs in Texas are:

What cities in Texas are hiring for Remote Mechanical Reliability Engineer jobs?

Cities in Texas with the most Remote Mechanical Reliability Engineer job openings:

Remote Mechanical Reliability Engineer jobs near you
Infographic showing various Remote Mechanical Reliability Engineer job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Site Reliability Engineer

ASCENDING LLC

Austin, TX • Remote

$56.50 - $75/hr

Full-time

Posted 17 days ago

Job description

Required U.S. Citizenship / No clearance needed / 100% remote within the US
Staff Site Reliability Engineer / Cloud SME
Location: 100% remote in the continental US
Type: Long-term contract (3+ years)
Role Summary
As the Staff SRE/Cloud SME, you will be a critical technical leader driving the rearchitecting of our existing monolithic system into a resilient, cloud-native architecture. This role requires deep expertise across multiple cloud platforms (Azure and AWS) and container orchestration (Kubernetes) to ensure the next-generation platform meets the highest standards of scalability, reliability, and security.Key Responsibilities
Architecture & Transformation Leadership
  • Lead the technical rearchitecting efforts, transforming a large-scale monolithic system into a modern microservices-based, cloud-native application.
  • Collaborate with cross-functional teams (Engineering, Architecture, Product) to define and implement the new system architecture using domain-driven design (DDD) principles.
  • Conduct technology evaluations and provide recommendations for new tools, frameworks, and cloud services to enhance our infrastructure.
Reliability Engineering & Cloud Operations
  • Utilize Kubernetes (K8S) for container orchestration and management, ensuring extreme scalability, reliability, and high availability of the system.
  • Implement robust, highly resilient, and highly available components for the system.
  • Develop and implement comprehensive monitoring, logging, and alerting mechanisms to ensure optimal system performance and availability.
  • Drive the adoption of DevOps principles and practices throughout the software development lifecycle, ensuring seamless integration and continuous deployment processes.
Technical Expertise & Mentorship
  • Stay up-to-date with emerging technologies, frameworks, and industry trends related to systems and cloud computing.
  • Mentor and provide technical guidance to junior team members, fostering a culture of continuous learning and professional growth.
Required Qualifications
  • Cloud Platforms: 7+ years of experience with cloud computing platforms. Strong multi-cloud expertise required with AWS and Azure.
  • Cloud-Native Transformation: 7+ years of experience in rearchitecting large-scale monolithic applications to cloud-native architectures.
  • Container Orchestration: Strong expertise in Kubernetes (K8S) is required, including hands-on experience with both AKS (Azure Kubernetes Service) and EKS (Elastic Kubernetes Service).
  • Networking: Strong experience with Cloud Networking, with the ability to design and resolve complex cloud networking architecture problems.
  • IaC: Expert knowledge of Terraform for infrastructure-as-code deployment and management.
  • Security: Must possess strong knowledge of security best practices for containers and Kubernetes clusters.
  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • Bonus Knowledge: Knowledge of load balancing algorithms.

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