Asset Reliability Engineer: Predictive Maintenance Leader

The Partners Alliance; Lafayette (IN); On-site; USD 80,000 - 110,000; Full time

Job summary

The Partners Alliance is seeking a Reliability Engineer to develop and implement asset reliability strategies that boost equipment availability, reduce unplanned downtime, and improve manufacturing effectiveness.

This role serves as a technical resource for maintenance and operations teams, applying reliability engineering principles, predictive maintenance, data analysis, and structured problem-solving methodologies.

Qualifications

• 3+ years of manufacturing maintenance experience.
• Bachelor of Engineering degree from an accredited institution.
• Authorized to work in the United States; visa sponsorship not provided.
• Access to controlled technology per ITAR/EAR requirements and eligibility for necessary authorizations.

Responsibilities

• Develop and implement reliability strategies that improve equipment availability.
• Lead RCFA investigations and implement corrective actions to eliminate recurring failures.
• Utilize predictive and condition-based maintenance technologies to identify degradation and reduce risk of failure.
• Analyze equipment performance data, maintenance records, and reliability metrics to identify opportunities.
• Support development and optimization of preventive and predictive maintenance programs.
• Collaborate with operations, maintenance, and engineering teams to improve equipment performance and reliability.

Skills

RCFA investigations

Predictive maintenance

Data analysis

Project management

Communication

Education

Bachelor of Engineering

Tools

CMMS systems

FMEA

Job description

The Partners Alliance is seeking a Reliability Engineer to develop and implement asset reliability strategies that boost equipment availability, reduce unplanned downtime, and improve manufacturing effectiveness.

This role serves as a technical resource for maintenance and operations teams, applying reliability engineering principles, predictive maintenance, data analysis, and structured problem-solving methodologies.