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Remote Mechanical Reliability Engineer Jobs in Missouri

Jobgether

$44 - $58.50/hr

This is a fully remote opportunity for a highly experienced SRE leader to shape reliability across complex, AI-driven production environments. You will act as a senior technical authority, designing ...

New

Jobgether

$44 - $58.50/hr

Fully remote work with flexibility across eligible locations. * Opportunity to work on challenging ... Opportunity to contribute to reliability engineering practices involving SLOs, SLIs, error budgets ...

The Timberline Group

Dynatrace SRE

Saint Louis, MO · On-site +1

$55.50 - $73.75/hr

Remote - Must reside in US Work Hours: 8am - 5pm CST Qualifications/Skills Needed: * Support and Troubleshooting * Plan and execute Observability build (dashboard, alert) for application team * SRE ...

Jobgether

$80K - $110K/yr

Contribute to a remote-first culture based on asynchronous collaboration, transparency, trust, and continuous improvement. Requirements * 5+ years of experience in Platform Engineering, DevOps, SRE, ...

London Stock Exchange Group

DevOps Engineer

Saint Louis, MO · Remote

$51.25 - $70.25/hr

... pipeline reliability, and developer experience. * Infrastructure and operations: * Manage infrastructure-as-code using Terraform, including module design, remote state management, environment ...

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

Remote based role with up to 75% travel What You'll do as a Director, Engineering * Set priorities ... Certified Reliability Engineer Other: * Must have excellent leadership, interpersonal and ...

Perficient, Inc.

Forward Deployed Engineer

Saint Louis, MO · Remote

$118K - $202K/yr

This is a remote position, must live in the United States. As a Forward Deployed Engineer you will lead and scale Perficient's Product Development practice focused on AI-enabled software development ...

Jobgether

$39.50 - $51/hr

This is a fully remote engineering opportunity focused on advancing high-performance peer-to-peer ... Your work will directly influence the reliability, efficiency, and capabilities of next-generation ...

Jobgether

... reliability, and efficiency. * Work with distributed data structures, databases, CRDTs, and decentralized synchronization mechanisms. * Research, evaluate, and implement approaches related to ...

Jobgether

... remote-first or globally distributed organizations. * Familiarity with AI-driven automation, container technologies such as Docker or Kubernetes, and Site Reliability Engineering practices is ...

Xcellent Technology

Database Engineer - Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Database Engineer (Remote) As a Database Engineer, you will help design, support, and optimize the ... reliability. You will manage PostgreSQL databases, optimize SQL based workflows, and support Python ...

Jobgether

$5.0K - $6.5K/mo

This fully remote opportunity is designed for an experienced Python engineer passionate about ... Enhance platform performance, reliability, observability, and overall data quality. * Conduct ...

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale ... Design and manage data models and architectures that support scalability, reliability, performance ...

The Timberline Group

Dynatrace Engineer

Saint Louis, MO · On-site +1

A few years of experience with Dynatrace is required (3) Fully remote is okay, prefer to be within ... As an Engineer 2, you will be responsible for collaborating with management, site reliability ...

Third-Party Job Posts

Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence ... Identify and resolve systemic risks in scalability, reliability, security, data quality ...

Jobgether

We are seeking a Middle Automation QA Engineer to help ensure the reliability, performance, and ... Ability to work effectively in a remote environment within Central European Time (CET) hours.

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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 Missouri?

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

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

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

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

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

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

Cities in Missouri 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 Missouri as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Staff Site Reliability Engineer

Jobgether

Remote

$44 - $58.50/hr

Full-time

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Site Reliability Engineer based in Netherlands.

This is a fully remote opportunity for a highly experienced SRE leader to shape reliability across complex, AI-driven production environments.
You will act as a senior technical authority, designing resilient infrastructure and establishing SRE practices that scale with rapid business growth.
The role spans cloud infrastructure, Kubernetes, observability, CI/CD, data platforms, and machine learning systems.
You'll work across platform, product, data, and ML engineering teams to improve availability, performance, security, and operational efficiency.
A key focus will be productionizing AI workloads, standardizing customer environments, and strengthening infrastructure for enterprise-scale deployments.
You'll tackle complex reliability challenges hands-on while influencing architecture and technology direction across engineering.
The environment values ownership, technical excellence, automation, continuous improvement, and the ability to influence without relying on formal authority.

Accountabilities
  • Architect, deploy, operate, and continuously improve scalable, secure production environments, with a strong preference for AWS-based infrastructure.
  • Lead reliability initiatives across multiple engineering streams and establish consistent SRE practices throughout the organization.
  • Design, evolve, migrate, and optimize Kubernetes-based infrastructure, including production hardening and scaling.
  • Establish and enforce robust Infrastructure-as-Code standards using Terraform or equivalent technologies.
  • Define, implement, and operationalize SLIs, SLOs, error budgets, and other reliability practices.
  • Strengthen observability across applications, infrastructure, data pipelines, and ML systems to improve visibility into system health and performance.
  • Collaborate with product and data teams to incorporate product telemetry, model analytics, and operational data into reliability insights.
  • Design and optimize CI/CD pipelines across the complete software lifecycle, from build and testing through deployment and rollback.
  • Improve release safety, deployment frequency, operational predictability, and adherence to service-level objectives.
  • Lead incident response for complex, cross-system failures and drive thorough post-incident reviews and corrective actions.
  • Reduce operational toil through automation, platform engineering, and improved tooling and processes.
  • Design scalable processes and infrastructure for absorbing, standardizing, monitoring, and troubleshooting customer environments.
  • Support and productionize ML workloads by implementing MLOps practices for model deployment, monitoring, and retraining workflows.
  • Ensure infrastructure and operational practices meet enterprise-grade security, compliance, and regulatory requirements.
  • Mentor engineers, share best practices, and raise the overall reliability and engineering standards across teams.
  • Collaborate with Staff Engineers and Architects to influence global product architecture and long-term technology strategy.
Requirements
  • Extensive hands-on experience in Site Reliability Engineering, Production Engineering, or a closely related infrastructure role.
  • Proven experience establishing or scaling SRE practices within high-growth, complex, or highly distributed technical environments.
  • Deep expertise with AWS or Azure cloud infrastructure and modern cloud-native architectures.
  • Strong production experience with Kubernetes, including migration, scaling, optimization, and security hardening.
  • Advanced Infrastructure-as-Code expertise using Terraform or an equivalent technology.
  • Demonstrated experience designing, implementing, and optimizing end-to-end CI/CD pipelines.
  • Strong knowledge of observability practices and tooling across distributed applications and infrastructure.
  • Experience troubleshooting complex multi-tenant, customer-hosted, or enterprise environments.
  • Experience supporting production data platforms and machine learning systems.
  • Practical MLOps experience, including model deployment, monitoring, and operational lifecycle management.
  • Strong understanding of distributed systems, scalability, resilience, fault tolerance, and failure modes.
  • Ability to think across systems and understand the interactions between infrastructure, applications, data, and ML workloads.
  • Strong communication and collaboration skills, with the ability to work effectively across engineering and business functions.
  • Experience with large-scale global B2B or B2C products is desirable.
  • Experience working with AI/ML, NLP, or LLM-based products is a strong advantage.
  • Familiarity with integrating product analytics and model performance metrics into operational monitoring is beneficial.
  • Experience operating in enterprise environments with stringent security, compliance, and regulatory requirements is preferred.
  • Experience implementing regulatory controls within cloud infrastructure is a plus.
  • Experience scaling infrastructure during periods of rapid growth is advantageous.
  • Experience evaluating infrastructure tools, platforms, and vendors is desirable.
  • Experience deploying and operating solutions within large enterprise customer accounts or VPCs is a strong plus.
  • Strong problem-solving skills, high ownership, and accountability.
  • Ability to anticipate failure modes, operate across multiple engineering streams, and influence technical decisions without formal authority.
  • Continuous-learning mindset with a strong commitment to improving systems, processes, and engineering practices.
Benefits
  • Full-time, permanent employment.
  • Fully remote position within European time zones.
  • Opportunity to work on infrastructure supporting advanced AI and agent-based workloads.
  • Significant technical ownership and influence over reliability practices and architecture.
  • Opportunity to work across cloud infrastructure, Kubernetes, distributed systems, data platforms, and ML operations.
  • Exposure to complex enterprise environments and large-scale production deployments.
  • Collaboration with highly experienced engineers, architects, product teams, and AI/ML specialists.
  • Opportunity to shape reliability standards and technology strategy as the organization scales.
  • Strong culture of ownership, continuous improvement, and technical excellence.
  • International and distributed working environment.
  • Career growth and opportunities to expand technical leadership and organizational impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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