A

Amazon

Sells products online and rents cloud computing

Critical Infrastructure Controls Engineer - Data Center Field Engineering

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-timeUmatilla, OR, USA

About the Job

Requirements

  • At least 4 years of industrial or commercial engineering experience in mission-critical facilities, including data centers, power generation, or oil and gas facilities.
  • A bachelor's degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, Automation Engineering, Computer Engineering, or an equivalent technical degree or experience.
  • A valid U.S. driver's license and reliable personal transportation by the start date.

Responsibilities

  • Support critical infrastructure in AWS data centers across the building lifecycle, from design and construction reviews for new sites to upgrades and maintenance standards for existing sites.
  • Serve as the primary engineering resource for the region by troubleshooting critical failures, conducting root-cause analyses, and developing corrective actions.
  • Own conceptual designs for capacity, availability, and efficiency improvements; lead engineering audits; and provide technical escalation support for operating sites.
  • Manage concurrent projects that may span multiple geographic regions and drive fleet-wide standards with Operations, Design Engineering, Hardware Engineering, Health & Safety, and partner Controls teams.
  • Lead post-event engineering analysis for controls-related incidents, including root-cause investigations, technical field reports, and time-sensitive reviews; identify recurring failure patterns and develop corrective actions and reliability improvements across the facility portfolio.
  • Develop, review, and maintain controls logic and reusable code templates for mechanical and electrical equipment, aligning them with approved Sequences of Operations and deployment readiness for air-handling units, cooling systems, chillers, pumps, and electrical infrastructure.
  • Own the full engineering lifecycle for legacy controls first-of-kind pilots, from request intake and technical review through field execution, results analysis, and go/no-go recommendations for broader rollout.
  • Serve as the technical escalation point for complex controls issues beyond existing procedures or support models, including traveling to facilities for investigations and developing corrective actions.
  • Review controls drawings, wiring diagrams, network topologies, equipment submittals, and deployed configurations to identify reliability, operability, and maintainability risks.
  • Support proprietary and third-party controls products by aggregating design update proposals and partnering with product and partner Controls teams to drive bug fixes and continuous improvement.
  • Build and maintain technical baselines, including test scripts, points lists, naming conventions, alarm thresholds, setpoints, code libraries, and engineering playbooks.
  • Develop engineering standards and system-health metrics to improve control-system reliability and standardization across the facility portfolio.
  • Partner with facility operations, Commissioning, Design Engineering, Technical Program Managers, and partner Controls teams to resolve technical issues.
  • Prioritize daily activities to support data center capacity, availability, and safety, focusing on high-impact actions; work on projects locally and globally.

Desired Qualifications

  • Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents.
  • Hands-on experience with BMS, BAS, SCADA, PLC, or power monitoring platforms and industrial communication protocols such as BACnet, Modbus, MQTT, or OPC.
  • Familiarity with mechanical and electrical systems, including cooling equipment (chillers, CRAHs, and AHUs), power distribution (switchgear, UPS, generators, VFDs, and ATSs), pumps, sensors, and field I/O.
  • Experience writing and standardizing controls code in Python, structured text, ladder logic, or function block; building reusable templates; and managing version control across multiple sites or equipment types.
  • Proficiency using Python, SQL, and visualization tools to analyze time-series data from BMS, EPMS, SCADA, or historians, and building dashboards or pipelines for system-health monitoring and root-cause analysis.
  • Experience applying machine learning or generative AI tools to anomaly detection, predictive maintenance, fault classification, or engineering workflow automation, with sound data governance and output-validation practices.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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