Reliability Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Responsible for ensuring the reliability of facility infrastructure across vital data center systems, including power, cooling, and controls.

• Design, execute, and continuously enhance asset strategies and work management processes to meet uptime, safety, and cost goals.

• Engage in 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.

• Develop and sustain equipment strategies that address criticality, failure modes, and maintenance prescriptions for power and cooling systems.

• Take ownership of PM quality and audit activities; eliminate inefficient tasks and implement optimized prescriptions.

• Create, review, and govern SOPs/MOPs/EOPs and change packages; ensure compliance through training and approvals.

• Collaborate with site teams to maintain CMMS schedules and O&M plans; lead reliability investigations and implement corrective actions.

• Implement oil/coolant analysis, thermography, vibration, and battery monitoring; analyze trends to prevent failures.

• Establish and manage critical spares lists and stocking strategies; monitor gaps and corrective actions.

• Assist in lifecycle asset management processes to inform replacements and capital planning.

• Lead post-incident RCAs and FMEA; document findings and update procedures accordingly.

• Work alongside CE leaders to maintain operator certification and training standards; mentor technicians on reliability methods.

⛳️ Requirements

• A minimum of 7 years of experience in reliability, maintenance engineering, or facilities engineering within mission-critical environments.

• Proficient in RCM, FMEA, RCA, and maintenance optimization techniques.

• Familiar with UPS, generators, switchgear, chillers, cooling towers, CRAH/CRAC, and BMS/EPMS systems.

• Experience in governing SOP/MOP/EOP, CMMS scheduling, and change management processes.

• Capability to analyze condition monitoring data and convert insights into actionable strategies.

• Skilled in data analysis and visualization tools such as Excel, Power BI, or similar applications.

• Ability to employ statistical methods or reliability modeling to aid in decision-making.

• Excellent communication skills; capable of leading investigations and achieving consensus.

• Preferred: Experience with critical spares programs and lifecycle asset management.

• Preferred: Familiarity with scripting or data science tools (Python, R) for reliability analytics.

• Preferred: Knowledge of SQL or data querying languages.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Tuition reimbursement