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Process Reliability Manager Jobs in Garner, NC (NOW HIRING)

Nvidia

Senior Site Reliability Engineer - HPC

Durham, NC

$55 - $73.25/hr

Use IaC(InfrastructureasCode) and config management to standardize and automate provisioning ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

IXL Learning

Senior Site Reliability Engineer

Raleigh, NC · On-site

$55.50 - $73.75/hr

Develop tooling for deployment and release processes WHAT WE'RE LOOKING FOR * Bachelor's or ... Flexibility about work hours and being on call * Strong communication and time management skills ...

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All JobsProcess Reliability JobsProcess Reliability Manager JobsProcess Reliability Manager Jobs in Garner, NC

Process Reliability Manager information

See Garner, NC salary details

$55.3K

$104.7K

$150.2K

How much do process reliability manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for process reliability manager in Garner, NC is $104,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $124,800.00 per year, depending on experience, location, and employer.

What is a process reliability manager?

A Process Reliability Manager is a professional responsible for ensuring that manufacturing or production processes operate efficiently, consistently, and with minimal downtime. They analyze process data, identify areas for improvement, and implement strategies to enhance equipment reliability and overall process performance. By collaborating with maintenance, engineering, and operations teams, they help reduce failures, optimize productivity, and maintain quality standards. Their work is crucial for minimizing costs and ensuring that production targets are met safely and reliably.

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

AspectProcess Reliability ManagerMaintenance Engineer
CertificationsReliability certifications, Six Sigma, PMPMechanical/Electrical certifications, HVAC, PLC certifications
Work EnvironmentManufacturing plants, industrial facilitiesFactories, equipment maintenance sites
Industry UsageFocus on reliability, uptime, and process optimizationFocus on equipment repair, preventive maintenance

The Process Reliability Manager primarily focuses on improving equipment reliability and process efficiency through data analysis and strategic planning. In contrast, Maintenance Engineers handle the hands-on repair and maintenance of machinery. Both roles are essential in manufacturing, but the Process Reliability Manager emphasizes proactive reliability strategies, while Maintenance Engineers focus on reactive and preventive maintenance tasks.

How does a process reliability manager typically collaborate with maintenance and production teams to achieve operational goals?

A Process Reliability Manager works closely with both maintenance and production teams to identify areas of improvement in equipment reliability and process efficiency. This often involves facilitating cross-functional meetings, analyzing downtime data, and implementing preventive maintenance strategies. Clear communication and teamwork are key, as the role requires aligning the objectives of different departments to minimize unplanned outages and optimize production output. By fostering a proactive culture and sharing best practices, the Process Reliability Manager helps ensure the plant operates smoothly and efficiently.

What are the key skills and qualifications needed to thrive as a process reliability manager, and why are they important?

To thrive as a Process Reliability Manager, you need a strong background in engineering, process optimization, and reliability analysis, often supported by a degree in engineering and experience in manufacturing or industrial settings. Familiarity with reliability-centered maintenance (RCM), root cause analysis tools, and data analysis software such as SAP or Maximo is typically required. Exceptional problem-solving, leadership, and communication skills help drive cross-functional teams and foster a culture of continuous improvement. These skills are crucial to ensure equipment reliability, minimize downtime, and optimize operational efficiency within complex production environments.
What cities near Garner, NC are hiring for Process Reliability Manager jobs? Cities near Garner, NC with the most Process Reliability Manager job openings:
Process Reliability Manager jobs near you
Infographic showing various Process Reliability Manager job openings in Garner, NC as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $104,726 per year, or $50.3 per hour.

Software Engineer - Cloud Platform / Reliability

NetApp, Inc.

Morrisville, NC • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago

NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 483 rated business services

Job description

Job Summary
We are seeking a Software Engineer to design, build, and maintain scalable cloud-based platforms and services. This role combines software development with platform reliability and automation, focusing on building resilient distributed systems, improving operational efficiency through automation, and ensuring high availability and performance of cloud infrastructure. The engineer will collaborate with senior engineers and cross-functional teams to develop software, infrastructure tooling, and observability capabilities that support internal and external customers.
Responsibilities
• Design, develop, test, and maintain software components and services for cloud computing platforms.
• Translate business and client requirements into technical specifications and scalable software solutions.
• Build and enhance scalable distributed systems and platform services running in cloud and containerized environments.
• Develop automation and infrastructure tooling using languages such as Python, Shell, or similar technologies to support deployments, validation, and operational workflows.
• Implement and maintain containerized workloads and orchestration platforms such as Kubernetes (including on-prem and Rancher Kubernetes environments).
• Contribute to CI/CD pipeline development to enable reliable, automated software delivery and infrastructure updates.
• Implement monitoring, logging, and observability solutions using tools such as Dynatrace and Grafana to ensure system health, performance, and reliability.
• Manage and optimize Linux-based environments (RHEL/CentOS), including performance tuning and troubleshooting.
• Design and automate operational tasks and scheduling processes using tools such as cron and Airflow.
• Work with SQL and NoSQL databases to support application functionality, performance optimization, and reliability.
• Deploy and operate services in cloud environments, particularly AWS, ensuring scalability, performance, and cost efficiency.
• Participate in incident response, root cause analysis, and reliability improvements to maintain highly available systems.
• Utilize modern AI/ML and Generative AI tools where appropriate to enhance automation, system insights, and operational efficiency.
• Collect and analyze operational and user experience data from cloud platforms and provide insights and reports to engineering and management teams.
• Collaborate closely with engineering, operations, and product teams to continuously improve platform capabilities and user experience.
Job Requirements
• Experience in software engineering, cloud platform engineering, site reliability engineering, or a related field.
• Strong programming or scripting skills (e.g., Python, Shell, or similar) with a focus on automation and system tooling.
• Experience developing and supporting distributed or cloud-based applications.
• Solid experience with Linux systems administration (RHEL/CentOS), including troubleshooting and performance optimization.
• Experience working with containerization and orchestration technologies such as Kubernetes.
• Familiarity with CI/CD pipelines and modern software delivery practices.
• Experience with observability and monitoring tools such as Dynatrace, Grafana, or similar platforms.
• Working knowledge of SQL and NoSQL databases.
• Experience with public cloud platforms, preferably AWS.
• Strong analytical, debugging, and problem-solving skills.
• Experience applying automation, data-driven insights, or AI/ML tools to improve system performance or engineering workflows is a plus.
• Strong communication and collaboration skills in cross-functional engineering environments.
Education & Experience
Typically requires a Bachelor of Science Degree in Electrical Engineering or Computer Science with 2+ years related experience; a Masters degree in Electrical Engineering or Computer Science with 0+ years related experience; or equivalent experience.
Compensation:
The target salary range for this position is 113,050 - 168,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

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