Reliability Engineer: Predictive Maintenance & Uptime

JLL; Creve Coeur (MO); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401(k) plan with matching company

Job summary

JLL in Creve Coeur, MO, seeks a Maintenance Reliability Engineer to drive asset performance and cost efficiency. You will lead predictive maintenance programs across building systems and develop data-driven insights for continuous improvement.

Ideal candidates bring 5+ years in reliability engineering, strong analysis skills, and proficiency with BI tools to visualize maintenance metrics. On-site role with opportunities to optimize critical assets and uptime.

Qualifications

• Bachelor's degree in Engineering (Mechanical or Industrial preferred).
• Minimum 5 years in engineering roles focusing on Reliability Centered Maintenance (RCM) and Predictive Maintenance (PdM).
• Experience with HVAC, chillers, air compressors, boilers and related systems; strong root cause analysis skills.

Responsibilities

• Develop and track KPIs related to equipment reliability (planned vs unplanned work, MTBF, costs).
• Administer PdM programs including infrared thermography, vibration and oil analysis; track actions.
• Conduct root cause analyses and implement actionable solutions.
• Collaborate with maintenance teams, leadership and clients to define needs and recommendations.
• Create dashboards and reports using BI tools to visualize maintenance performance.
• Document maintenance activities, inspections and third-party work.
• Assist in condition-based strategies for AHUs, chillers, boilers and air compressors.

Skills

Reliability engineering

PdM

RCM

Vibration analysis

Thermography

Oil analysis

Root cause analysis

Data-driven decisions

Education

Bachelor's degree in Engineering (Mechanical or Industrial preferred)

Tools

Power BI

Tableau

CMMS

Infrared thermography

Vibration analysis

Oil analysis

Job description

JLL in Creve Coeur, MO, seeks a Maintenance Reliability Engineer to drive asset performance and cost efficiency. You will lead predictive maintenance programs across building systems and develop data-driven insights for continuous improvement.

Ideal candidates bring 5+ years in reliability engineering, strong analysis skills, and proficiency with BI tools to visualize maintenance metrics. On-site role with opportunities to optimize critical assets and uptime.