Amazon Field Engineer at ADCI - Karnataka

Department: aws

Compensation

$96,600 – $160,000/yr

Setup: On-site
Location: Herndon, Virginia
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 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, technical escalations, legacy controls pilots, and the development of controls logic, code templates, baselines, standards, and system-health metrics. The position requires at least two years of controls experience, a relevant bachelor’s degree or equivalent technical experience, and a valid US driver’s license with reliable transportation. The listed work location is Herndon, Virginia, with a base salary of $96,600 to $160,000 annually.

Required Skills

Controls engineering
Root cause analysis
Python
BACnet
PLC
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 2 cumulative years of controls experience in industrial, municipal, or commercial engineering, including data centers, power generation, or oil/gas facilities.
Experience reading and editing construction documents, including design drawings, control diagrams, and specifications.
Preferred Qualifications: 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, 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 with data governance and output validation.