Full stack Architect

Job Description

AIoT Systems Engineer – Job Description
Role Overview

We are looking for a skilled and innovative AIoT Systems Engineer to design, architect, and deploy scalable AIoT solutions. The ideal candidate will have strong expertise in IoT platforms, cloud technologies, AIoT security, microservices architecture, and web application development.

You will work closely with cross-functional teams to develop secure, scalable, and high-performance AIoT systems while ensuring seamless integration with enterprise infrastructure.

Key Responsibilities
AIoT Architecture & Development
Design and implement scalable AIoT architectures and solutions.
Collaborate with stakeholders to define system requirements and technical specifications.
Integrate AIoT systems with existing enterprise platforms and cloud ecosystems.
Develop and maintain AIoT security protocols and best practices.
IoT & Cloud Technologies
Architect and deploy IoT solutions using:
AWS IoT
Azure IoT
AWS IoT Core
Lambda
Timestream
Kinesis
SNS / SQS
DynamoDB
EC2
S3
Cognito
API Gateway
IAM
Azure Functions
IoT Hub
Communication Protocols
Work with IoT device communication protocols including:
MQTT
HTTPS
Zigbee
Security & Performance
Implement security best practices across:
Device security
API security
Cloud security
Application security
Monitor, analyze, and optimize AIoT system performance.
Application Development
Build and maintain web applications using:
ASP.NET MVC
.NET platform
Develop responsive UI using:
HTML
CSS
JavaScript frameworks
Architecture & DevOps
Design microservices-based digital solutions.
Implement scalable architectural patterns for:
Availability
Performance
Scalability
Work with CI/CD and DevSecOps tools:
Git
Jenkins
CloudWatch
Automated testing frameworks
Required Qualifications
4–8 years of experience in AIoT, IoT, or cloud-based application development.
Strong expertise in:
IoT architecture and deployment
Cloud IoT platforms
ASP.NET MVC / .NET
SQL programming
Understanding of:
Multi-threading
Multi-tenancy solutions
Data management strategies for IoT systems
Experience with microservices architecture.
Nice-to-Have Skills
Experience integrating machine learning models on:
Cloud
Edge devices
Knowledge of:
Docker
Kubernetes
Prior domain experience in:
Automotive
Medical Devices
Industrial Automation
Employment Details
Employment Type: Full-time, Permanent
Work Schedule: Monday to Friday (Day Shift)
Benefits:
Health Insurance
Provident Fund
Work Mode: In-person
How to Apply

Interested candidates can contact:

📞 +91 9500898874