Maintenance Reliability Engineer

Maintenance Reliability Engineer

Location: Petersburg, VA
Employment Type: Direct Hire
Compensation: Starting at $85,000 per year, depending on experience
Position Summary

We are hiring a Maintenance Reliability Engineer to support equipment performance, maintenance optimization, and continuous improvement initiatives within a manufacturing operation. This role combines engineering analysis with hands-on plant support and is well suited for someone who enjoys troubleshooting equipment issues, partnering with maintenance teams, and implementing long-term reliability solutions.

The ideal candidate will have experience improving asset reliability, reducing unplanned downtime, and supporting maintenance strategies that increase operational efficiency.

Primary Responsibilities

• Design and improve maintenance and reliability programs for production equipment.
• Investigate recurring equipment failures using Root Cause Failure Analysis (RCFA) and Failure Modes and Effects Analysis (FMEA).
• Support and enhance preventive and predictive maintenance activities.
• Apply condition-monitoring techniques including vibration monitoring, thermal imaging, and lubrication analysis.
• Work closely with maintenance and operations personnel to improve equipment uptime and performance.
• Monitor maintenance and reliability metrics and recommend improvement opportunities.
• Participate in equipment upgrades, capital projects, shutdowns, and major repairs.
• Coordinate with vendors and service providers to improve equipment functionality and reliability.
• Provide technical support and guidance to maintenance personnel.
• Assist with troubleshooting mechanical and electrical equipment issues on the plant floor.
• Promote compliance with safety, environmental, and operational requirements.

Required Qualifications

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or a related technical discipline.
• Minimum of 3 years of reliability engineering experience in a manufacturing or industrial setting.
• At least 5 years of experience supporting or maintaining industrial equipment.
• Knowledge of preventive and predictive maintenance practices.
• Experience utilizing CMMS platforms for maintenance planning and tracking.
• Familiarity with reliability methodologies such as RCM, RCFA, FMEA, and TPM.
• Strong troubleshooting skills involving mechanical and electrical systems.
• Ability to analyze maintenance data and implement corrective actions.
• Strong communication, organization, and problem-solving abilities.
• Comfortable working directly in a production environment and supporting field activities as needed.

Preferred Qualifications

• Background in heavy manufacturing, metals, steel, or similar industrial operations.
• Professional certification such as CMRP, CRE, or related credentials.
• Experience with Lean Manufacturing, Six Sigma, or continuous improvement programs.
• Familiarity with large industrial assets including cranes, furnaces, rolling equipment, or material handling systems.

Benefits

• Medical, dental, and vision insurance
• 401(k) program with employer contribution
• Paid parental leave
• Company-paid life insurance
• Annual performance bonus opportunity
• Employee assistance program
• Tuition reimbursement
• Professional growth and advancement opportunities

What You'll Bring

We're looking for an engineer who enjoys solving equipment challenges, collaborating with maintenance teams, and driving measurable improvements in reliability and performance. This position offers the opportunity to make a direct impact on operations while working in a fast-paced manufacturing environment.

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.