Data Center Facilities Engineer Interview Questions:Mock Interviews

Advancing Your Controls Engineering Journey

A career as a Data Center Facilities Engineer (Controls) offers a dynamic path with significant opportunities for growth. Typically, you might start as a Junior Controls Engineer or Facilities Technician, gaining hands-on experience with critical infrastructure and control systems. The next step often involves transitioning into a Facilities Engineer role, where you deepen your expertise in system operations, troubleshooting, and maintenance within a data center environment. As you master these complexities, specializing in BMS/SCADA system optimization and advanced control strategies, you can progress to a Senior Controls Engineer position, leading projects and mentoring junior team members. A key challenge at this stage is staying ahead of rapidly evolving technologies and increasingly complex system integrations. Overcoming this requires continuous learning and a proactive approach to adopting new automation techniques and data analytics. Further advancement could lead to a Lead Controls Engineer, managing a portfolio of projects and acting as a technical authority, or moving into management as a Data Center Operations Manager or even Director. The ability to articulate complex technical issues to non-technical stakeholders and demonstrate strong project management skills will be crucial for these leadership transitions. Embracing opportunities for cross-functional collaboration and developing strategic insights into energy efficiency and operational resilience are vital for sustained career progression in this critical field.

Data Center Facilities Engineer (Controls) Job Skill Interpretation

Key Responsibilities Interpretation

The Data Center Facilities Engineer (Controls) is pivotal in ensuring the continuous and efficient operation of a data center's critical infrastructure. This role involves operating, monitoring, maintaining, and troubleshooting sophisticated instrumentation and control systems, including Building Management Systems (BMS), Supervisory Control and Data Acquisition (SCADA), and Electrical Power Monitoring Systems (EPMS). A core responsibility is to monitor feedback and perform analysis on system operations to maintain optimal environmental conditions, power distribution, and cooling systems. Engineers in this position are also instrumental in leading the startup, commissioning, and integration of new equipment and systems into the existing facilities infrastructure, often coordinating with vendors and internal teams. Furthermore, a crucial aspect of the role is to troubleshoot and resolve complex control issues promptly, conducting root cause analysis to prevent future service failures and minimize downtime. This involves not only reactive problem-solving but also a proactive approach to continuously improve operational efficiency and minimize environmental impact, often focusing on metrics like Power Usage Effectiveness (PUE) and Water Usage Effectiveness (WUE).

Must-Have Skills

• BMS/SCADA System Proficiency: Three sentences explaining the necessity of this skill. This involves hands-on experience with various Building Management Systems and SCADA platforms for monitoring, controlling, and optimizing critical data center infrastructure. A strong grasp allows for effective system operation, alarm management, and performance tuning to ensure uptime. You need to be able to navigate these systems to identify issues, analyze data, and implement control changes.
• PLC Programming: Three sentences explaining the necessity of this skill. Proficiency in Programmable Logic Controller (PLC) programming is essential for developing, modifying, and troubleshooting control logic that governs mechanical and electrical systems. This skill enables engineers to implement precise control sequences, optimize system responses, and ensure reliable automation within the data center. Familiarity with various PLC manufacturers (e.g., Siemens, Rockwell, Schneider Electric) is highly valued.
• HVAC Controls Expertise: Three sentences explaining the necessity of this skill. A deep understanding of HVAC control systems is critical for maintaining precise temperature and humidity levels within the data center, which directly impacts equipment performance and longevity. This includes knowledge of chillers, pumps, cooling towers, and CRAC/CRAH units, and their integration with BMS for optimal cooling efficiency. Effective management of HVAC controls directly contributes to energy efficiency and thermal stability.
• Electrical Systems Knowledge: Three sentences explaining the necessity of this skill. A solid foundation in electrical distribution, including UPS systems, generators, switchgear, and power distribution units, is vital for managing the data center's power infrastructure. This ensures stable and redundant power delivery, which is non-negotiable for critical operations. The ability to troubleshoot electrical control circuits and understand single-line diagrams is paramount.
• Networking Protocols (BACnet, Modbus): Three sentences explaining the necessity of this skill. Expertise in industrial communication protocols like BACnet, Modbus, and OPC UA is crucial for integrating diverse equipment and control devices into a unified monitoring and control system. This enables seamless data exchange between PLCs, BMS, and other intelligent field devices, facilitating comprehensive system visibility and interoperability. Without this, effective communication and centralized control across disparate systems would be impossible.
• Data Analysis and Trending: Three sentences explaining the necessity of this skill. The ability to analyze historical and real-time operational data from control systems is important for identifying performance anomalies, optimizing energy consumption, and predicting potential failures. This skill helps in making data-driven decisions to improve system reliability, efficiency, and capacity planning. Proficiency in tools for data tracking and trending is often expected.
• Root Cause Analysis (RCA): Three sentences explaining the necessity of this skill. Strong analytical skills for performing Root Cause Analysis are fundamental for identifying the underlying causes of system failures or performance issues. This systematic approach ensures that problems are not just temporarily fixed, but permanently resolved, thereby enhancing overall system reliability and preventing recurrence. Effective RCA is crucial for minimizing downtime and maximizing operational uptime.
• Troubleshooting Complex Control Issues: Three sentences explaining the necessity of this skill. The capacity to diagnose and resolve intricate problems within integrated control systems is paramount to maintaining continuous data center operations. This requires a systematic approach to fault isolation, a deep understanding of control logic, and the ability to interpret technical documentation. Quick and accurate troubleshooting prevents prolonged outages and costly disruptions.

Preferred Qualifications

• Energy Efficiency Certifications (e.g., LEED, CEM): Three sentences explaining why this skill/experience will make you stand out. Possessing certifications like LEED or Certified Energy Manager (CEM) demonstrates a commitment to sustainable practices and specialized knowledge in optimizing data center energy consumption. This can be a significant advantage as companies increasingly prioritize green initiatives and seek to reduce their operational carbon footprint. These certifications showcase an engineer's ability to drive significant cost savings and align with corporate sustainability goals.
• Project Management Experience: Three sentences explaining why this skill/experience will make you stand out. Experience in managing controls-related projects, from conception to commissioning, including vendor coordination and budget oversight, highlights leadership potential and organizational skills. This is highly valued for overseeing system upgrades, new installations, and continuous improvement initiatives effectively. It demonstrates the ability to deliver complex projects on time and within budget, which is critical in a fast-paced data center environment.
• Advanced Analytics and Machine Learning for Controls: Three sentences explaining why this skill/experience will make you stand out. Familiarity with applying advanced analytics or machine learning techniques to optimize control system performance and predict equipment failures offers a cutting-edge advantage. This shows a forward-thinking approach to leveraging data for predictive maintenance, energy optimization, and enhancing overall operational intelligence. Such skills can lead to significant improvements in efficiency and reliability, setting a candidate apart.

Evolving Data Center Controls Architectures

The landscape of data center controls is undergoing a significant transformation, driven by the increasing demand for automation, efficiency, and resilience. One key trend is the shift from traditional Direct Digital Control (DDC) systems to Programmable Logic Controller (PLC) based control systems. PLCs offer greater robustness and flexibility in programming logic, making them highly suitable for complex data center environments and facilitating integration with advanced analytical platforms. This evolution allows for more intricate and responsive control sequences, crucial for managing the dynamic loads and environmental demands of modern data centers. Furthermore, there's a growing emphasis on IT/OT convergence, where Information Technology and Operational Technology systems are becoming increasingly integrated. This convergence enables more holistic data analysis, allowing IT teams to gain deeper insights into the physical infrastructure and operational controls. The goal is to break down silos between IT and facilities, fostering better collaboration and enabling more intelligent decision-making to optimize performance and prevent outages. The rise of cloud-based building control and automation is also changing how data centers are operated, offering new tools for optimizing power and cooling systems through machine-learning algorithms. This shift allows for more robust, situation-specific operations and enhances the capability for remote monitoring and management. Engineers need to adapt to these evolving architectures, which often involve integrating various proprietary and open communication protocols like BACnet, Modbus, and OPC UA to ensure seamless interoperability across diverse systems. The complexity of these integrated systems also highlights the critical importance of cybersecurity for operational technology (OT) systems, as connected devices and automated decision-making platforms become potential targets for cyberattacks.

Predictive Maintenance and System Resilience

In the highly critical environment of data centers, the focus on predictive maintenance and ensuring system resilience has become paramount to achieving maximum uptime and operational efficiency. Instead of reactive or even time-based preventive maintenance, modern data centers are increasingly leveraging advanced data analytics and machine learning to anticipate equipment failures before they occur. This involves continuously collecting and analyzing data from various sensors and control systems, looking for subtle deviations from normal operating parameters that might indicate an impending issue. The implementation of AI and machine learning platforms allows facilities engineers to move beyond simple monitoring and alarming, enabling proactive correction of potential problems and optimization of maintenance schedules. This not only reduces the risk of unexpected downtime but also optimizes maintenance costs and extends the lifespan of critical equipment. A significant aspect of system resilience is the implementation of redundant power supply and cooling solutions, ensuring that even if one component fails, backup systems can seamlessly take over, preventing service interruptions. Data center controls engineers play a crucial role in designing, implementing, and testing these redundancy measures, often reviewing commissioning plans and critical operational procedures to verify their effectiveness. Furthermore, the ability to perform rigorous testing and commissioning of all systems is essential to ensure reliable operation from power stability to the effectiveness of cooling systems, ensuring the data center is ready to operate at its highest potential. This proactive approach to maintenance and a strong focus on resilience are fundamental to the long-term success and reliability of any data center operation.

Optimizing Energy Consumption and Sustainability

The rapidly escalating energy demands of data centers, particularly with the proliferation of AI technologies, have brought optimizing energy consumption and sustainability to the forefront of industry concerns. Data Center Facilities Engineers (Controls) are critical in driving initiatives to reduce power usage and environmental impact. This involves continuous efforts to improve metrics like Power Usage Effectiveness (PUE) and Water Usage Effectiveness (WUE). Engineers achieve this by meticulously monitoring, analyzing, and optimizing the performance of HVAC, power distribution, and cooling systems through intelligent control strategies. The integration of cloud-based control and automation platforms, powered by machine-learning algorithms, offers new avenues for optimizing power and cooling systems beyond traditional local control sequences. These platforms can implement more robust, location-specific operational adjustments to maximize efficiency. Furthermore, the industry is seeing a push towards incorporating renewable energy sources and innovative cooling solutions like liquid cooling to balance growth with green IT charters. Data center controls engineers are increasingly involved in supporting these transitions, from integrating new energy sources into the control architecture to managing the intricate controls for advanced cooling technologies. The goal is not just to maintain uptime, but to do so with the minimal possible environmental footprint and operational cost, making energy management and efficiency a core competency for professionals in this field. This focus on sustainability extends to developing and modifying controls logic to support dynamic load management and capacity planning, ensuring that resources are utilized as efficiently as possible while maintaining critical performance standards.

10 Typical Data Center Facilities Engineer (Controls) Interview Questions

Question 1: Can you explain the role of a BMS/SCADA system in a data center and your experience working with one?

• Points of Assessment: Assesses fundamental knowledge of critical control systems, practical experience, and ability to articulate their function and importance.
• Standard Answer: "A BMS (Building Management System) or SCADA (Supervisory Control and Data Acquisition) system in a data center is the central nervous system for monitoring and controlling critical infrastructure like HVAC, power, and environmental conditions. It aggregates data from various sensors and devices, provides real-time operational visibility, and enables automated control sequences to maintain optimal performance and uptime. In my previous role, I regularly used a [mention specific BMS/SCADA platform, e.g., Johnson Controls Metasys, Schneider EcoStruxure, Ignition] system to monitor cooling units, UPS status, and generator operations. My responsibilities included setting up alarm thresholds, troubleshooting communication issues between the BMS and field devices, and optimizing control loops to improve energy efficiency and maintain temperature setpoints. I also generated reports on system performance and trends to identify potential areas for improvement."
• Common Pitfalls: Giving a generic definition without specific data center context, lacking details about personal experience, or failing to highlight the impact of their work.
• Potential Follow-up Questions:
  • How do you troubleshoot a communication failure between a field device and the BMS?
  • Describe a time you used the BMS to prevent a potential outage.
  • What are the key differences between a BMS and an EPMS (Electrical Power Monitoring System)?

Question 2: Describe a challenging control system issue you encountered in a data center and how you resolved it.

• Points of Assessment: Evaluates problem-solving skills, troubleshooting methodology, ability to work under pressure, and technical depth.
• Standard Answer: "In one instance, we experienced intermittent high-temperature alarms in a specific data hall, but the CRAC units appeared to be operating normally according to their local controllers. My initial investigation using the BMS showed no obvious faults. I suspected a controls issue, so I dug deeper into the PLC logic for the CRAC units and the associated environmental sensors. I found a subtle programming error where a temperature averaging algorithm was incorrectly weighting certain sensor inputs, leading to skewed readings that triggered false alarms under specific load conditions. I developed a corrected logic, tested it rigorously in a simulated environment, and then carefully implemented it during a scheduled maintenance window. After commissioning, the false alarms ceased, and the temperature monitoring became accurate, ensuring consistent cooling and preventing unnecessary alarm fatigue."
• Common Pitfalls: Providing a vague problem description, not detailing the diagnostic steps, taking sole credit for teamwork, or failing to explain the lasting impact of the solution.
• Potential Follow-up Questions:
  • How did you verify your solution was effective long-term?
  • What tools or diagnostic equipment did you use during your troubleshooting process?
  • How would you have approached this issue if you didn't have access to the PLC code?

Question 3: How do you approach optimizing energy efficiency through controls in a data center?

• Points of Assessment: Assesses knowledge of energy management, understanding of data center specific efficiency metrics (PUE), and proactive optimization strategies.
• Standard Answer: "Optimizing energy efficiency in a data center through controls starts with a comprehensive understanding of the existing infrastructure and baseline PUE. My approach involves several key steps. Firstly, I would analyze historical data from the BMS/EPMS to identify areas of energy waste, such as over-cooling or inefficient fan/pump operation. Secondly, I'd review and fine-tune control sequences for HVAC systems, implementing strategies like economizer modes, variable frequency drive (VFD) optimization for pumps and fans, and intelligent temperature setpoint management based on IT load. Thirdly, I would explore opportunities for hot/cold aisle containment and ensure airflow management is optimized, which directly impacts cooling efficiency. Lastly, I'd continuously monitor the impact of changes, leveraging trend analysis and reporting to validate savings and identify further optimization opportunities. Collaboration with IT to understand server loads is also crucial for dynamic control adjustments."
• Common Pitfalls: Giving only theoretical answers, not mentioning specific data center metrics like PUE, or failing to connect controls to actual energy savings.
• Potential Follow-up Questions:
  • What is PUE, and how can controls impact it?
  • Have you worked with demand response programs, and how do they integrate with controls?
  • How do you balance energy efficiency with the need for redundancy and uptime?

Question 4: Explain your experience with PLC programming languages (e.g., Ladder Logic, Structured Text) and their application in data center controls.

• Points of Assessment: Verifies technical proficiency in PLC programming, understanding of relevant languages, and ability to apply them in a data center context.
• Standard Answer: "I have extensive experience with PLC programming, primarily using Ladder Logic and Structured Text. In data center controls, Ladder Logic is often used for sequencing and safety interlocks, particularly for critical systems like generator controls, automatic transfer switches (ATS), and UPS bypass sequences due to its ease of troubleshooting and visualization. Structured Text, on the other hand, is valuable for more complex mathematical calculations, data manipulation, and advanced control algorithms, such as those used in chiller plant optimization or precise environmental control. For example, I've developed Ladder Logic programs for seamless transitions between utility and generator power during outages, ensuring critical loads remain supplied. I've also utilized Structured Text for implementing PID control loops for cooling water temperature regulation, achieving tighter control and greater energy efficiency."
• Common Pitfalls: Only listing languages without describing specific applications, demonstrating superficial knowledge, or not relating it back to data center scenarios.
• Potential Follow-up Questions:
  • When would you choose Structured Text over Ladder Logic for a particular application?
  • How do you ensure the safety and reliability of your PLC programs?
  • What experience do you have with version control for PLC code?

Question 5: How do you ensure compliance with safety standards and regulatory requirements in a data center environment?

• Points of Assessment: Assesses understanding of safety protocols, regulatory adherence, and commitment to a safe working environment.
• Standard Answer: "Ensuring safety and compliance is paramount in data center operations. My approach begins with a thorough understanding of relevant industry standards such as NFPA, OSHA, and local electrical codes, alongside internal company safety protocols. I always adhere to Lockout/Tagout (LOTO) procedures before any work on electrical or mechanical systems. For control systems, I ensure that safety interlocks are properly programmed and tested, and that alarm systems are fully functional and regularly validated. I also participate in regular safety audits and drills, such as fire suppression system tests. Furthermore, I ensure all documentation for controls modifications, maintenance, and emergency procedures is kept up-to-date and accessible. Continuous training and awareness for myself and the team on these standards are essential to maintain a safe and compliant working environment."
• Common Pitfalls: Giving a generic answer without mentioning specific standards or procedures, overlooking the role of documentation, or failing to emphasize personal commitment.
• Potential Follow-up Questions:
  • What is your experience with Lockout/Tagout procedures?
  • How do you handle a situation where a safety procedure might conflict with an operational demand?
  • What are some common safety risks specifically related to control systems in a data center?

Question 6: What are common communication protocols used in data center controls, and which ones have you worked with?

• Points of Assessment: Evaluates knowledge of industry-standard communication protocols and practical experience with integration.
• Standard Answer: "In data center controls, several communication protocols are commonly used for different purposes. BACnet is widely prevalent for building automation and HVAC systems, allowing different vendors' equipment to communicate. Modbus RTU/TCP is also very common, especially for PLCs and smaller field devices like power meters and sensors. I've also encountered OPC UA for higher-level data integration, particularly with SCADA or historian systems, due to its robust security features and platform independence. I have hands-on experience configuring and troubleshooting devices using all three. For example, I've integrated CRAC units using BACnet/IP, connected smart PDUs via Modbus TCP, and set up OPC UA servers to push critical operational data to a central data historian for long-term analysis and reporting. Understanding these protocols is essential for seamless interoperability and data exchange."
• Common Pitfalls: Only listing protocols without explaining their typical use cases, demonstrating a lack of hands-on configuration or troubleshooting experience.
• Potential Follow-up Questions:
  • Describe a challenge you faced integrating devices using different protocols.
  • What are the security considerations when using these protocols in a data center?
  • How do you diagnose communication issues between devices on a Modbus network?

Question 7: How do you ensure system uptime and reliability when making changes or performing maintenance on live control systems?

• Points of Assessment: Assesses understanding of change management, risk mitigation, and critical thinking in a live production environment.
• Standard Answer: "Ensuring uptime and reliability during changes or maintenance on live control systems is paramount. My approach involves a stringent change management process. Firstly, thorough planning and risk assessment are conducted, identifying potential impacts and developing comprehensive backout procedures. All proposed changes are documented and reviewed by relevant stakeholders. Secondly, I prioritize implementing changes during scheduled maintenance windows with the lowest possible impact on operations. Thirdly, before deploying to production, changes are rigorously tested in a test environment or simulation, if available, to catch any unforeseen issues. During deployment, I ensure all necessary personnel are on standby, and that robust monitoring is in place to quickly detect any anomalies. Finally, after successful implementation, I closely monitor system performance and document the entire process, including lessons learned, to continuously improve future operations."
• Common Pitfalls: Not emphasizing planning and risk assessment, neglecting the importance of backout procedures, or failing to mention testing and post-implementation monitoring.
• Potential Follow-up Questions:
  • Describe a time a change you implemented caused an unexpected issue, and how you handled it.
  • What role does redundant infrastructure play in your change management strategy?
  • How do you document changes to control logic or system configurations?

Question 8: What is your understanding of root cause analysis (RCA) and how have you applied it to data center incidents?

• Points of Assessment: Evaluates analytical thinking, problem-solving methodology, and ability to learn from failures.
• Standard Answer: "Root Cause Analysis (RCA) is a systematic process for identifying the fundamental reasons for a problem or incident, rather than just addressing its symptoms. In data center incidents, I've applied RCA to understand why a control system malfunctioned or an environmental anomaly occurred. For example, we once had a recurring issue with a specific data hall experiencing localized hot spots despite CRAC units operating within parameters. My RCA involved collecting data from BMS logs, reviewing maintenance records, interviewing technicians, and physically inspecting the airflow patterns. We discovered a seemingly minor change in a floor tile layout during a previous upgrade had subtly disrupted the cold aisle containment, leading to recirculation. The root cause wasn't equipment failure, but a process oversight during a physical change. By adjusting the floor tile and implementing a stricter change review for physical infrastructure, the hot spots were eliminated."
• Common Pitfalls: Providing a vague definition of RCA, failing to provide a specific, detailed example, or not explaining the corrective actions derived from the analysis.
• Potential Follow-up Questions:
  • What RCA methodologies are you familiar with (e.g., 5 Whys, Fishbone Diagram)?
  • How do you ensure that corrective actions from RCA are actually implemented and effective?
  • Describe a time when you had to push back on a proposed solution because you believed it didn't address the root cause.

Question 9: How do you stay updated with emerging technologies and trends in data center controls and automation?

• Points of Assessment: Gauges continuous learning, adaptability, and proactive professional development.
• Standard Answer: "Staying current in data center controls and automation is crucial given the rapid pace of technological advancement. I actively engage in several methods to stay updated. I regularly follow industry publications and online forums dedicated to data center infrastructure, industrial automation, and controls engineering. Attending webinars and virtual conferences from major vendors like Schneider Electric, Siemens, and Rockwell Automation helps me understand new product offerings and best practices. I also pursue online courses and certifications when new technologies like advanced analytics for BMS or specific PLC platforms emerge. Furthermore, I find value in networking with peers and experts through professional organizations and LinkedIn groups, which provides insights into real-world applications and challenges. This continuous learning ensures I can contribute effectively to adopting innovative solutions for efficiency and reliability."
• Common Pitfalls: Giving a generic answer like "reading articles," not mentioning specific resources or methods, or lacking enthusiasm for continuous learning.
• Potential Follow-up Questions:
  • What recent trend in data center controls excites you the most and why?
  • Have you implemented any new technologies or approaches you learned about?
  • How do you evaluate new technologies for their potential benefit to data center operations?

Question 10: Describe your experience collaborating with cross-functional teams (e.g., IT, Mechanical, Electrical) within a data center environment.

• Points of Assessment: Evaluates teamwork, communication skills, and understanding of integrated data center operations.
• Standard Answer: "Collaboration with cross-functional teams is fundamental to a data center's success, as all systems are interconnected. I've regularly worked closely with IT teams to understand server load changes and capacity requirements, allowing me to optimize cooling and power delivery through controls. For instance, during a major server upgrade, I collaborated with IT to monitor power draw and thermal dissipation closely, adjusting CRAC setpoints and airflow to prevent hot spots. I've also partnered with mechanical and electrical teams during maintenance or new installations, reviewing designs, coordinating shutdowns, and performing joint commissioning of control systems. Effective communication, active listening, and a shared understanding of project goals are key. I ensure I translate complex controls terminology into understandable language for non-controls specialists, fostering a truly collaborative and efficient working environment."
• Common Pitfalls: Focusing too much on individual contributions, not highlighting the specific benefits of collaboration, or failing to acknowledge potential challenges in cross-functional work.
• Potential Follow-up Questions:
  • How do you handle disagreements or conflicting priorities with other teams?
  • Can you give an example of a project where strong cross-functional collaboration was critical to success?
  • What communication strategies do you find most effective when working with diverse teams?

AI Mock Interview

It is recommended to use AI tools for mock interviews, as they can help you adapt to high-pressure environments in advance and provide immediate feedback on your responses. If I were an AI interviewer designed for this position, I would assess you in the following ways:

Assessment One: Technical Proficiency in Controls Systems

As an AI interviewer, I will assess your technical proficiency in critical controls systems. For instance, I may ask you, "Walk me through the process of programming a PLC to manage a specific cooling sequence, including any safety interlocks," to evaluate your hands-on coding ability and understanding of operational safety.

Assessment Two: Problem-Solving and Troubleshooting Acumen

As an AI interviewer, I will assess your problem-solving and troubleshooting acumen in complex, time-sensitive scenarios. For instance, I may ask you, "A critical UPS system is reporting erratic voltage readings in the EPMS; describe your step-by-step diagnostic process," to evaluate your analytical thinking under simulated pressure and your ability to apply Root Cause Analysis.

Assessment Three: Operational Awareness and Optimization Strategies

As an AI interviewer, I will assess your operational awareness and ability to implement optimization strategies. For instance, I may ask you, "How would you use BMS data to identify and rectify inefficiencies in a data center's HVAC system, aiming to improve its PUE?" to evaluate your understanding of energy management and your proactive approach to system enhancement.

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Authorship & Review

This article was written by Ethan Riley, Senior Data Center Controls Architect, and reviewed for accuracy by Leo, Senior Director of Human Resources Recruitment. Last updated: 2025-09

References

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