Senior Electrical Systems Specialist (Data Center Reliability)

We are seeking a team member located within one of the following areas: UK, USA, or Canada. 

Responsibilities

• 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.
• Design, implement, and continuously refine rules-based electrical fault detection logic grounded in real data center operating experience, ensuring failure conditions are identified before they result in customer-visible impact.
• Grow internal expertise in data center electrical systems by sharing operational knowledge, failure patterns, and lessons learned from real-world infrastructure behavior.

This role is not responsible for real-time incident response or on-call operations; its value comes from applying prior operational experience to improve product performance over time. This role is not a research or experimentation position; correctness, operational realism, and alignment with real data center electrical behavior take priority over model novelty.

Key Qualifications

• 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.
• Demonstrated expert use of system telemetry, historical performance data, and real-time signals to assess data center electrical system health—particularly to evaluate how systems behave during maintenance or incident conditions and where standard operating procedures fall short.

***In your cover letter, please describe how your experience aligns with the qualifications listed above.

Preferred Skills & Experience

• Proven experience analyzing, monitoring, and interpreting electrical distribution systems in data center environments, including substations, UPS systems, batteries, switchgear, PDUs, and stand-by generators, with a focus on understanding operational behavior and failure modes rather than day-to-day maintenance execution.
• Hands-on experience working with SCADA, BMS, or energy monitoring systems, including sensor integration and data acquisition, applied in a real-world operational context to understand system behavior and detect abnormal conditions.
• Experience designing and validating rules-based detection logic, thresholds, or analytics to identify electrical faults or abnormal operating conditions, grounded in practical operational experience rather than experimental modeling.
• Demonstrated ability to apply machine learning or advanced analytics as a tool to enhance fault detection, predictive insights, or energy optimization, with outputs validated against real electrical system behavior.
• Experience with time-series analysis, signal processing, or predictive modeling for power and thermal performance, applied to interpret real operational signals and guide actionable recommendations rather than generate research outputs.

Onboarding

In your first 30 days…

• Familiarize yourself with the Phaidra Handbook.
• Review department roadmaps and product vision documents.
• Participate in recurring meetings with relevant teams.
• Review existing electrical system ontology & taxonomy and provide feedback.
• Start reviewing key customer system documentation to grow understanding.

In your first 60 days…

• Build an understanding of our work processes and tools.
• Start solidifying a new electrical system ontology and components database.
• Work with solutions engineers to guide their new system build-outs.
• Participate in, and review, customer meetings to identify new product gaps and opportunities.

In your first 90 days…

• Finish creation of electrical system ontology and components database.
• Work with solutions engineers to ensure that all customer systems are constructed to follow the new ontology and taxonomy.
• Define initial electrical fault detection rules to identify system failure modes for customer-facing products.
• Engage with core product teams to ensure that our solutions are meeting the needs of our customers.
• Create presentations to share progress with stakeholders.

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

1. Meeting with People Operations team member (30 minutes)
2. Meeting with Hiring Manager (60 minutes)
3. Meeting with the Director of AI Controls Solutions Engineering (60 minutes)
4. Meeting with the Data Science team (60 minutes)
5. Culture fit interview with Phaidra’s co-founders (30 minutes)

Base Salary

US Residents:

• Tier 1 (Largest highest-cost metros): 140,800 USD - 211,200 USD
• Tier 2 (Other major metros): 133,760 USD - 200,640 USD
• Tier 3 (Mid-sized metro areas): 126,720 USD - 190,080 USD
• Tier 4 (All other locations): 119,680 USD - 179,520 USD

UK Residents:

• Tier 1 (London): 89,440 GBP - 134,170 GBP
• Tier 2 (Manchester, Birmingham, Edinburgh, Bristol): 84,180 GBP - 126,270 GBP
• Tier 3 (Other areas): 78,900 GBP - 118,380 GBP

Canada Residents:

• Tier 1 (Vancouver): 146,700 CAD - 220,000 CAD
• Tier 2 (Toronto): 136,900 CAD - 205,400 CAD
• Tier 3 (Montreal): 117,000 CAD - 176,000 CAD
• Tier 4 (Other areas): 107,500 CAD - 161,300 CAD

In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends.