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Critical Infrastructure Controls Engineer, Data Center Field Engineering

Amazon Data Services, Inc.

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Interviews for infrastructure roles keep coming back to AWS, System design, Kubernetes, Python. Practise those questions before you sit with Amazon Data Services, Inc..

Questions you are likely to be asked

  1. Why do you want to join Amazon Data Services, Inc.?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. How do you decide what to monitor, and what should wake someone up at night?
  4. How would you cut the cloud bill of a system without hurting it?
  5. How do you keep secrets and access safe in your infrastructure?

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AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers Basic qualifications: - 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor’s degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, Automation Engineering, Computer Engineering, or an equivalent technical degree or experience. - Must have a valid US driver's license and reliable personal transportation by start date. Preferred: - 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 (chillers, CRAHs, AHUs), power distribution (switchgear, UPS, generators, VFDs, ATSs), pumps, sensors, and field I/O. - Experience writing and standardizing controls code (Python, structured text, ladder logic, 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 to support 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, OH, COLUMBUS - 116,800.00 - 160,000.00 USD annually

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Listed on amazon · posted 2026-08-10. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Data Services, Inc., not by us.