AWS IoT Software Engineer

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

AWS IoT Software Engineer

Location: Austin, TX / Remote - TBD
Contract: 12 Months
Rate: Up to $80/hour
Openings: 1
Start Date: ASAP

About the Role

We are seeking a Software Developer to join an Amazon engineering team supporting the development of a software and data pipeline for an IoT quality-control device. This role will focus on building the connection between physical hardware, edge devices, and AWS cloud services.

The ideal candidate will have strong hands-on experience with Python, AWS IoT, MQTT, AWS Lambda, and S3, along with experience developing software on edge devices such as NVIDIA Jetson. Experience building data-ingestion workflows that move data from hardware to the cloud is particularly important.

Candidates with additional experience developing machine learning models, anomaly detection, or other data-driven quality-control solutions are highly desirable.

Key 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, processing, and transferring data generated by IoT devices.
• Troubleshoot issues across the hardware, edge, and cloud environments.
• Collaborate with engineering teams to design and implement scalable IoT software solutions.
• Support testing, validation, and optimization of the IoT quality-control pipeline.
• Contribute to the development or integration of ML/anomaly-detection capabilities where applicable.

Required Qualifications

• Strong professional experience with Python development.
• Hands‑on experience with AWS IoT.
• Experience working with MQTT and IoT device communication.
• Experience with AWS Lambda and Amazon S3.
• Experience developing software for edge devices, preferably NVIDIA Jetson.
• Experience designing or implementing data‑ingestion pipelines from hardware/edge devices to the cloud.
• Strong understanding of IoT, cloud, and distributed data workflows.

What We're Looking For

The strongest candidates will be more than general Python or AWS developers. We're looking for someone who has hands-on experience connecting physical devices to cloud infrastructure and understands how data moves from an edge device into AWS.

A candidate who has built an end-to-end IoT pipeline using Python, Jetson, MQTT, AWS IoT, Lambda, and S3 would be an excellent fit. Experience with ML and anomaly detection would be an additional differentiator.

GCS is acting as an Employment Business in relation to this vacancy.