
AWS IoT
1 day ago
About Us
At
, we are transforming global logistics with next-generation
IoT and RFID-powered supply chain solutions
. Our platforms seamlessly connect edge devices, cloud systems, and data intelligence to enable smarter, faster, and more efficient shipping operations.
We're looking for an
AWS IoT & Python Engineer (RFID Integration Specialist)
who can bring innovation and technical expertise to our growing engineering team.
Role Overview
You will design, develop, and optimize IoT solutions that integrate
RFID technologies, edge devices, and AWS cloud services
into scalable, high-performance systems. This is an exciting opportunity to work on cutting-edge IoT applications that power intelligent logistics.
Key Responsibilities
- Design, develop, and deploy IoT solutions with
AWS IoT Core, IoT Greengrass, and related AWS services
. - Integrate
RFID systems
with cloud platforms for seamless data ingestion, processing, and analytics. - Develop microservices and APIs using
Python (FastAPI/Flask/Django)
for IoT workflows. - Implement
serverless architectures
with AWS Lambda, Step Functions, and EventBridge. - Work with AWS services like
DynamoDB, S3, API Gateway, Kinesis, and CloudWatch
. - Optimize
MQTT/HTTP communications
for high reliability and low latency. - Ensure IoT system security, authentication, and compliance.
- Collaborate with hardware, firmware, and backend teams on
end-to-end IoT solutions
. - Troubleshoot RFID hardware/software integration challenges.
- Contribute to
CI/CD pipelines
and DevOps best practices.
Required Skills & Experience
- 3–6 years
in software engineering with a focus on IoT & cloud solutions. - Expertise in
AWS IoT Core, IoT Greengrass, and Lambda
. - Strong
Python
development skills (REST APIs, microservices). - Practical experience with
RFID readers, tags, and middleware
. - Knowledge of IoT protocols (
MQTT, WebSockets, HTTP
). - Hands-on with AWS (
API Gateway, DynamoDB, S3, Kinesis, CloudFormation
). - Understanding of
serverless & event-driven architectures
. - Familiarity with
Docker, ECS, or EKS
is a plus. - Solid grasp of
IoT security best practices
.
Preferred Qualifications
- Experience with
edge device integration
and
real-time data streaming
. - Knowledge of
RFID standards (UHF, HF, LF)
and industrial IoT. - Exposure to
data pipelines, analytics, or AI/ML on IoT data
. - Familiarity with
CI/CD tools
(GitHub Actions, Jenkins, AWS CodePipeline). - Industry experience in
logistics, pharma, or manufacturing IoT projects
.
Why
Join us in shaping the future of
intelligent logistics
. At , you'll work with passionate innovators, cutting-edge technologies, and real-world IoT solutions impacting global supply chains.
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