Senior Electrical Systems Specialist (Data Center Reliability)

Minimum of 3 years of direct experience operating or monitoring electrical power systems within data center environments, including hands-on exposure to live, production infrastructure and participation in operational decision-making where uptime, redundancy, and recovery constraints materially influenced outcomes.

Bachelor’s degree in electrical engineering, power systems engineering, energy systems, or a closely related discipline or equivalent professional experience involving sustained, hands-on engagement with data center electrical infrastructure beyond purely procedural or observational roles.

Deep, working understanding of data center electrical power systems—including power quality, load balancing, redundancy architectures (e.g., A/B paths), harmonics, fault detection, and protective relaying—sufficient to interpret abnormal behavior during live operations and translate those realities into product requirements or improvements.

Proven ability to identify recurring electrical or operational patterns in data center environments and contribute to durable, scalable solutions—particularly by capturing lessons learned and applying them to system or product improvements.

Ability to communicate complex electrical system behavior and operational risk clearly to both technical peers and non-domain stakeholders, particularly in post-incident analysis, product retrospectives, or reviews of how systems performed under stress.

Demonstrated alignment with company values—Transparency, Collaboration, Operational Excellence, Ownership, and Empathy—especially in environments where reliability, trust, and learning from failure matter more than individual heroics.

Define and maintain a domain-accurate electrical system ontology for data centers, ensuring customer system data reflects real-world electrical infrastructure, dependencies, and failure modes rather than abstract or purely data-driven representations.

Apply deep knowledge of data center electrical systems to interpret telemetry from sensors, smart meters, and facility management systems, identifying early indicators of equipment degradation or abnormal behavior originating from customer-owned infrastructure.

Specify, constrain, and validate analytical approaches—including statistical methods and machine learning—to detect anomalies in power usage, voltage stability, load behavior, and UPS/battery systems, ensuring outputs correspond to meaningful electrical risk rather than statistical novelty.

Design and refine automated detection and alerting logic that mirrors how experienced operators reason about electrical system health, ensuring alerts correspond to actionable operational conditions such as unsafe load distributions, power anomalies, or loss of redundancy.

Perform post-incident and post-anomaly analysis by correlating electrical, mechanical, and environmental signals to determine root causes and evaluate how accurately the product represented system behavior during customer incidents.

Collaborate with customer-facing and product teams to translate anomaly insights into actionable guidance, helping customers recognize poor maintenance practices, reduce unplanned downtime, and improve overall reliability and PUE.