Senior Reliability Engineer

Fleet Data Centers designs, builds, and operates mega-scale data center campuses. Fleet provides customers flexibility and predictability to meet upside demand forecasts—helping address market demand for new Cloud and AI infrastructure. Fleet brings in-house design, engineering, and operational capabilities to collaborate with customers on tailored solutions for campuses of 500MW+, providing a seamless extension of customer data center fleets with constant access to design innovation.

Fleet is headquartered in Denver, Colorado, with satellite offices in Seattle, Washington and Arlington, Virginia.

The Senior Availability / Reliability Engineer leads availability modeling, reliability analysis, and mitigation planning for Fleet’s behind-the-meter (BTM) power solutions and site-specific conditions. This role partners with engineering, construction, commissioning, and operations to identify risks early, define mitigations, and ensure designs and operating models meet target availability and resiliency.

The successful candidate will have experience and practical expertise in the following:

• Own availability and reliability analysis for BTM power solutions across a variety of technologies such as gas reciprocating engines, turbines, fuel cells, batteries, and site deployments (fault trees, reliability block diagrams, Monte Carlo or scenario modeling as appropriate).
• Define availability targets and performance assumptions; align with customer requirements and Fleet’s uptime objectives.
• Identify single points of failure and operational risks; recommend design, controls, procedural, or spares mitigations.
• Partner with engineering teams to validate redundancy strategies, maintainability, and test/maintenance windows that preserve service availability.
• Support commissioning readiness by defining test scenarios and success criteria that validate reliability assumptions.
• Develop Quality Control KPI definitions and reporting for reliability performance (forced outage rate, MTTR, maintenance compliance) and drive continuous improvement.
• Run Reliasoft or IEEE Goldbook calculations to demonstrate facility uptime based on selection of generation and distribution equipment.
• Lead root cause analysis and corrective action tracking for reliability-impacting events; ensure lessons learned feed back into standards and roadmaps.
• Collaborate with vendors and operations teams on maintenance strategies, spares/critical parts planning, and reliability-centered maintenance principles.

• Bachelor’s degree in Engineering (Electrical, Mechanical, Industrial, or similar).
• 7+ years in reliability engineering, availability analysis, quality processes and/or asset performance engineering in mission-critical or industrial environments.

• Experience with generation assets and integration into critical electrical systems.
• Experience with CMMS data, failure coding, and maintenance program optimization.
• Familiarity with safety and operating discipline (MOP/SOP/EOP, change management, incident response).
• Experience with ISO and Quality metrics for generation assets.
• Experience communicating technical risk to executives and customers.

• Integrity and Ethical Standards:
  Build trust, ensure fairness, and foster long-term, transparent relationships with suppliers.
• Effective Communication:
  The ability to clearly convey expectations and requirements to suppliers and negotiation parties, while understanding their needs and concerns. Comfortable delivering written and verbal presentations to internal leadership teams.
• Emotional Intelligence (EQ):
  Ability to understand the emotions, cultural nuances, and motivations of others, while effectively managing one's own emotions during high-pressure negotiations.
• Strategic Thinking:
  Recognize how supplier relationships and negotiations align with the broader organizational goals, while aiming for outcomes that benefit both parties.
• Critical Thinking
  
  Skills:
  
  Finding innovative solutions and being flexible in addressing unexpected challenges.
• Analytical Ability:
  Make data-driven decisions, assess cost structures,…