Critical Infrastructure Controls Engineer, Data Center Field Engineering at ADCI - Karnataka

Department: aws

Compensation

$116,800 – $160,000/yr

Setup: On-site
Location: Umatilla, Oregon
Type: Full-time
Level: mid
Posted: Aug 10, 2026

Description

AWS is hiring an Amazon Field Engineer to support critical infrastructure in AWS data centers across the full building lifecycle, from design and construction reviews through upgrades, maintenance, and operational troubleshooting. The role leads post-event controls incident analysis, root-cause investigations, corrective actions, engineering audits, legacy controls pilots, technical escalations, and the development of controls logic, code templates, baselines, standards, and system-health metrics. The position requires at least four years of industrial or commercial engineering experience in mission-critical facilities, a relevant technical degree or equivalent experience, and a valid US driver's license with reliable transportation. The listed location is Umatilla, Oregon, with a base salary of $116,800 to $160,000 annually.

Required Skills

Root cause analysis
Controls logic
Python
BACnet
PLC
SCADA
SQL
Machine learning

Additional Information

Minimum Education: Bachelor’s degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, Automation Engineering, Computer Engineering, or an equivalent technical degree or experience.
Required Previous Experiences: At least 4 years of industrial or commercial engineering experience in mission-critical facilities, including data centers, power generation, or oil and gas facilities.
Preferred 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.
Familiarity with mechanical and electrical systems, including cooling, power distribution, pumps, sensors, and field I/O.
Experience writing and standardizing controls code, 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 and build 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.
Translation Company Name: Amazon Data Services, Inc.