Reliability Engineer/Professional I/II

Metallus Inc.; Canton (OH); Hybrid; USD 65,000 - 85,000; Full time

Job summary

Metallus in Canton, OH seeks a reliability-focused professional to enhance equipment performance across manufacturing operations. You will collect and analyze performance data, work with maintenance and engineering teams, and contribute to reliability programs to reduce downtime and maintenance costs.

The role involves developing preventive maintenance strategies, supporting investigations, and tracking KPI metrics to improve plant reliability and safety.

Qualifications

• High School diploma with 5 years of manufacturing, maintenance, or reliability experience.
• Associate's Degree in a technical field with 2 years of manufacturing, maintenance, or reliability experience.
• Familiarity with CMMS systems; Maximo preferred.
• Proficiency with Microsoft Excel and data analysis tools.
• Ability to read and interpret engineering drawings and technical documentation.
• Strong written and verbal communication skills.
• Willingness to learn manufacturing processes and reliability best practices.

Responsibilities

• Collect, organize, and analyze equipment performance and maintenance data.
• Assist in identifying reliability improvement opportunities through data analysis.
• Support failure investigations with information from records and operating data.
• Participate in root cause analysis and corrective actions.
• Develop and maintain preventive and predictive maintenance strategies.
• Track metrics like downtime, MTBF, and MTTR.
• Assist in reviewing equipment designs for reliability and maintainability.
• Support spare parts optimization through data analysis.

Skills

Reliability engineering concepts

Maintenance practices

Data analysis

Team collaboration

Excel and data tools

Reading engineering drawings

Written and verbal communication

Education

Associate's Degree in technical field

High School diploma with 5 years manufacturing experience

Tools

Maximo

Excel

Job description

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Location: Canton, OH, Faircrest Steel Plant (USA_FAIRCREST), 44706

Company: Metallus

Joining the Metallus team means becoming part of a legacy that dates back over a century. We are an industry leader, manufacturing the cleanest steel in the world for companies in the industrial, aerospace and defense, automotive, and energy markets.

Relocation will not be provided for this role.

Purpose and Scope

This position supports efforts to improve equipment reliability, maintenance effectiveness, and asset performance across manufacturing operations. This position works with operations, maintenance, and engineering teams to collect and analyze equipment performance data, participate in reliability improvement initiatives, and assist with failure analysis and preventive maintenance optimization. Steel manufacturing is an asset-intensive business where equipment condition directly affects associate safety, environmental compliance, product quality, production throughput, and manufacturing costs. This position helps support asset management strategies by contributing to reliability programs and continuous improvement efforts that increase equipment availability and reduce maintenance costs.

Responsibilities

• Collect, organize, and analyze equipment performance and maintenance data from systems such as Maximo, production databases, and process control systems.


• Assist in identifying reliability improvement opportunities through data analysis and equipment performance reviews.


• Support equipment failure investigations by gathering information from maintenance records, operating data, inspections, and team interviews.


• Participate in root cause analysis activities and help develop corrective action recommendations to prevent recurring failures.


• Assist with the development and maintenance of preventive and predictive maintenance strategies to improve equipment reliability.


• Support maintenance task reviews and help evaluate equipment maintenance requirements based on equipment history and operating conditions.


• Help track reliability and maintenance performance metrics such as downtime, Mean Time Between Failures (MTBF), and Mean Time to Repair (MTTR).


• Participate in continuous improvement projects focused on reducing equipment downtime and improving maintenance effectiveness.


• Assist in reviewing equipment designs and capital projects to identify reliability and maintainability considerations.


• Support spare parts optimization efforts through data collection and analysis of equipment criticality, usage, and lead times.


• Work closely with maintenance, operations, and engineering personnel to identify and implement reliability improvements.


• Maintain accurate documentation of analyses, recommendations, and improvement activities.

Technical Skills

• Basic understanding of reliability engineering concepts and maintenance practices.


• Familiarity with CMMS systems; Maximo preferred.


• Ability to work effectively in a team environment.


• Exposure to root cause analysis and continuous improvement methodologies.


• Proficiency with Microsoft Excel and data analysis tools.


• Willingness to learn manufacturing processes and reliability best practices.


• Ability to read and interpret engineering drawings and technical documentation.


• Strong written and verbal communication skills.

Minimum Qualifications

• High School diploma with 5 years of experience in manufacturing, maintenance, or reliability.


• Associate's Degree in a technical field with 2years of experience in manufacturing, maintenance, or reliability.

Preferred Qualifications

• High School diploma with 7 years of experience in manufacturing, maintenance, or reliability.


• Associate's Degree in a technical field with 4years of experience in manufacturing, maintenance, or reliability.


• Bachelor’s Degree in a technical field with 2years of experience in manufacturing, maintenance, or reliability.

The company prohibits harassment or discrimination against any employee on the basis of any status protected by law, including, but not limited to, race, religion, color, national origin, ancestry, age, disability, genetic information, gender, sex or veteran status.