Maintenance Reliability Engineer

• →Develop and track Key Performance Indicators (KPIs) related to equipment reliability, including planned vs. unplanned work, MTBF, cost metrics, and equipment failure rates.
• →Administer Predictive Maintenance (PdM) programs such as infrared thermography, vibration analysis, and oil monitoring. Responsibilities include PM creation, data review, and corrective action tracking.
• →Conduct root cause analyses on equipment and process failures, identifying actionable solutions.
• →Engage with maintenance teams, leadership, and clients to understand operational needs and provide data-driven recommendations.
• →Utilize BI tools (Power BI, Tableau, etc.) to create dashboards and reports that visualize maintenance performance and key metrics.
• →Maintain accurate documentation of maintenance activities, inspections, and third-party contractor work.
• →Assist in developing condition-based strategies for critical assets including AHUs, chillers, boilers, and air compressors to improve uptime and efficiency.
   

• Bachelor's degree in Engineering (Mechanical or Industrial preferred).
• Minimum 5 years of experience in engineering roles with a focus on Reliability Centered Maintenance (RCM), Predictive Maintenance (PdM), and asset management.
• Strong knowledge of preventive maintenance strategies across HVAC, chiller plants, air compressors, boilers, and similar systems.
• Experience with root cause analysis methodologies (5 Whys, Fishbone, Failure Modes and Effects Analysis, Equipment Criticality Ranking, etc.).
• Familiarity with predictive technologies: vibration analysis, thermography, oil analysis, ultrasound.
• Strong verbal and written communication skills; able to communicate across technical and non-technical audiences.
   

• Proficiency in BI tools (e.g., Power BI, Tableau) and CMMS platforms.
• Ability to read and interpret technical documentation and schematics.
• Experience in regulated or critical environments (e.g., data centers, manufacturing, laboratories, pharmaceuticals, etc.).
• Advanced Excel skills and experience managing large datasets.
• Experience in facilities or plant management environments.

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements.  We’re interested in getting to know you and what you bring to the table!