Edge-to-Cloud IoT Engineer (Python, AWS)

GCS Recruitment; Cedar Park (TX); On-site; USD 66,000 - 110,000; Full time

Job summary

GCS Recruitment seeks an AWS IoT Software Engineer to join an Amazon engineering team building a software and data pipeline for an IoT quality-control device. The role connects physical hardware, edge devices, and AWS cloud services using Python, AWS IoT, MQTT, Lambda, and S3, with edge device work on NVIDIA Jetson.

The ideal candidate has hands-on experience in data-ingestion workflows from hardware to cloud and may contribute ML/anomaly-detection capabilities. Remote work is to be determined.

Qualifications

• Strong Python development experience.
• Hands-on with AWS IoT.
• Experience with MQTT and IoT device communication.
• Experience with AWS Lambda and Amazon S3.
• Edge-device software development, NVIDIA Jetson preferred.
• Developing data-ingestion pipelines from hardware to cloud.
• Knowledge of ML/anomaly-detection is a plus.

Responsibilities

• Develop and maintain Python applications on edge devices, including NVIDIA Jetson.
• Build and support hardware-to-cloud data ingestion pipelines.
• Integrate IoT devices with AWS IoT and MQTT.
• Develop cloud-based processing and data workflows using AWS Lambda and S3.
• Design reliable workflows for collecting and processing data from IoT devices.
• Troubleshoot issues across hardware, edge, and cloud environments.
• Collaborate with engineering to implement scalable IoT software solutions.
• Support testing, validation, and optimization of the IoT quality-control pipeline.
• Contribute to ML/anomaly-detection capabilities where applicable.

Skills

Python

AWS IoT

MQTT

AWS Lambda

S3

Edge devices

NVIDIA Jetson

Data ingestion

ML/anomaly detection

Tools

Jetson

Job description

GCS Recruitment seeks an AWS IoT Software Engineer to join an Amazon engineering team building a software and data pipeline for an IoT quality-control device. The role connects physical hardware, edge devices, and AWS cloud services using Python, AWS IoT, MQTT, Lambda, and S3, with edge device work on NVIDIA Jetson.

The ideal candidate has hands-on experience in data-ingestion workflows from hardware to cloud and may contribute ML/anomaly-detection capabilities. Remote work is to be determined.