Reliability Engineer I: Uptime & Failure Analysis

GAF; Gainesville (TX); On-site; USD 64,000 - 88,000; Full time

Benefits offered by this job

Health insurance options

401(k) with employer match

Tuition reimbursement

Wellness program

Job summary

GAF is seeking a Reliability Engineer I to lead reliability improvements across assigned areas, focusing on uptime and meeting rising demand.

The role requires applying risk management, predictive maintenance, and root cause analysis to reduce downtime and lifecycle costs. Collaboration with maintenance, project engineers, and plant personnel is essential to minimize obstructions and sustain high reliability.

Qualifications

• Bachelor’s degree in engineering or related field.
• Knowledge of safety principles and statistical methods.
• Experience with CMMS (Maximo preferred) and MS Office.
• Understanding of rotating equipment, hydraulics, pneumatics, lubrication.
• Ability to communicate with plant staff and management.

Responsibilities

• Implement risk management with predictive and preventive maintenance.
• Analyze rotating, piping, electrical, and instrumentation systems.
• Lead breakdown and failure analyses to prevent recurrent issues.
• Support Root Cause Analysis with cross-functional teams.
• Improve techniques with maintenance staff to protect quality.
• Propose design mods to boost reliability within cost.
• Standardize preventative work instructions to reduce downtime.

Skills

Root cause analysis

Reliability engineering

Predictive maintenance

Vibration analysis

Thermography

Oil analysis

CMMS Maximo

Office suite

Team collaboration

Education

Bachelor’s Degree in Engineering

Tools

Maximo CMMS

Office Suite

Job description

GAF is seeking a Reliability Engineer I to lead reliability improvements across assigned areas, focusing on uptime and meeting rising demand.

The role requires applying risk management, predictive maintenance, and root cause analysis to reduce downtime and lifecycle costs. Collaboration with maintenance, project engineers, and plant personnel is essential to minimize obstructions and sustain high reliability.