IoT Developer - .Net/C# (6-8 yrs)

Job Description :

We are looking for an experienced IoT Edge & C# .NET Developer with 5-7 years of experience to join our team. The ideal candidate should have expertise in developing and deploying IoT edge solutions, working with cloud platforms, and handling real-time data processing.

Key Responsibilities :

- Design, develop, and maintain IoT edge applications for real-time data acquisition and processing.

- Develop C# .NET-based applications for device connectivity, monitoring, and control.

- Integrate IoT solutions with cloud platforms like Azure IoT, AWS IoT, or Google Cloud IoT.

- Work with IoT protocols such as MQTT, CoAP, and OPC UA.

- Develop secure and optimized firmware for edge devices using embedded technologies.

- Implement edge computing solutions to process and analyze data locally before sending it to the cloud.

- Collaborate with hardware and firmware teams to ensure seamless device-to-cloud communication.

- Optimize data processing pipelines for efficient storage and transmission.

- Conduct unit testing, debugging, and performance tuning of applications.

Stay updated with the latest IoT trends, frameworks, and security best practices.

Required Skills & Experience :

- 5-9 years of experience in IoT, Edge Computing, and C# .NET development.

- Strong expertise in C# .NET Core, ASP.NET, Web APIs, and Microservices.

- Experience with IoT Edge frameworks (Azure IoT Edge, AWS Greengrass, etc.).

- Hands-on experience in device-to-cloud communication and real-time data streaming.

- Knowledge of SQL/NoSQL databases such as PostgreSQL, MongoDB, or InfluxDB.

- Familiarity with containerization (Docker, Kubernetes) for deploying edge applications.

- Understanding of networking, security protocols, and authentication mechanisms.

- Experience with Linux-based embedded systems is a plus.

- Strong problem-solving skills and the ability to work independently.

Preferred Qualifications :

- Experience with Industrial IoT (IIoT) and Industry 4.0 applications.

- Knowledge of edge AI/ML for predictive maintenance or anomaly detection.

- Familiarity with modular software architecture and CI/CD pipelines.