Role Summary
The Reliability Engineer is accountable for facility infrastructure reliability across mission critical data center systems (power, cooling, controls). You will design, implement, and continuously improve asset strategies and work management processes to achieve uptime, safety, and cost objectives. Core work includes reliability analytics, PM optimization, MOP/SOP governance, change management, root cause analysis (RCA), and program execution for critical spares, condition monitoring, and lifecycle asset management.
- Reliability Strategy & Asset Care
- Develop and maintain equipment strategies (criticality, failure modes, maintenance prescriptions) for power and cooling systems.
- Own PM quality and audit activities; eliminate ineffective tasks and deploy optimized prescriptions.
- WorkManagement Excellence
- Author, review, and govern SOPs/MOPs/EOPs and change packages; ensure adherence through training and approvals.
- Partner with site teams to maintain CMMS schedules and O/&M plans; lead reliability investigations and corrective actions.
- Condition Monitoring & Analytics
- Implement oil/coolant analysis, thermography, vibration, and battery monitoring; trend data to preempt failures.
- Critical Spares & Lifecycle Management
- Establish and maintain critical spares lists and stocking strategies; track gaps and remedial actions.
- Support lifecycle asset management processes to guide replacements and capital planning.
- RCA & Continuous Improvement
- Lead postincident RCAs and FMEA; publish learnings and update procedures.
- Collaborate with CE leaders to uphold operator certification and training standards; mentor technicians on reliability methods.
Qualifications- 7 years in reliability, maintenance engineering, or facilities engineering within missioncritical environments.
- Expertise with RCM, FMEA, RCA, and maintenance optimization.
- Familiarity with UPS, generators, switchgear, chillers, cooling towers, CRAH/CRAC, and BMS/EPMS.
- Experience governing SOP/MOP/EOP, CMMS scheduling, and change management.
- Ability to analyze conditionmonitoring data and turn findings into actions.
- Proficiency in data analysis and visualization tools (Excel, Power BI, or similar) to mine CMMS, condition-monitoring, and operational data for trends, failure patterns, and predictive insights. Ability to apply statistical methods or reliability modeling to support decision-making.
- Strong communication skills; able to lead investigations and drive consensus.
Preferred - Experience with critical spares programs and lifecycle asset management.
- Experience with scripting or data science tools (Python, R) for reliability analytics, predictive modeling, or failure trend analysis.
- Familiarity with SQL or data query languages for extracting and cleaning large operational datasets.
- Knowledge of battery monitoring and generator fluid analysis programs.
- Familiarity with NFPA and other regulatory and standards bodies.
Education/Certifications - Bachelor's degree in Mechanical, Electrical, or Industrial Engineering (or equivalent experience).
- Preferred: CMRP, CRE, or similar reliability certification.
Work Conditions - Supports 24×7 operations; occasional oncall rotation and night/weekend work.
- Ability to work in mechanical/electrical rooms around energized systems (following LOTO and NFPA 70E).
- Travel to supported sites (~50%).
