Ergobite - Embedded Software Engineer - RTOS/Microcontroller

1 week ago

Bengaluru, Karnataka, India Ergobite Tech Solutions Pvt Lyd Full time

We are seeking a highly skilled Embedded Software Engineer with 36 years of hands-on experience in embedded systems development, C/C++, and IoT technologies.

The ideal candidate should also possess working knowledge of modern software frameworks like Java (Spring Boot / Micronaut) and cloud platforms (AWS, Azure, GCP).

This role involves developing efficient, scalable, and secure embedded and IoT solutions for next-generation applications.

Key Responsibilities :

- Design, develop, and maintain embedded software applications using C/C++ on microcontrollers and RTOS environments.

- Implement and optimize IoT protocols (MQTT, CoAP, etc.) for secure and efficient device communication.

Develop and integrate backend services using Java (Spring Boot or Micronaut) for IoT and embedded applications.

- Work on IoT cloud platforms (AWS IoT, Azure IoT Hub, GCP IoT Core) for device management, data ingestion, and analytics.

- Integrate with databases (SQL/NoSQL) and manage message queues (Kafka, RabbitMQ) for scalable data processing.

- Collaborate with hardware, firmware, and cloud teams to deliver end-to-end solutions.

- Ensure compliance with coding standards, real-time constraints, and security practices.

- Debug, test, and optimize software for performance, scalability, and reliability.

- Prepare documentation, technical specifications, and participate in design/code reviews.

Required Skills & Qualifications

- 3 to 6 years of experience in embedded software development.

- Strong proficiency in Embedded C/C++ and experience with RTOS.

- Solid understanding of IoT protocols (MQTT, CoAP).

- Experience in developing backend services with Java (Spring Boot/Micronaut).

- Familiarity with IoT Cloud platforms (AWS, Azure, or GCP).

- Experience with SQL/NoSQL databases and messaging systems (Kafka, RabbitMQ).

- Strong problem-solving skills and ability to work in a collaborative environment.

- Good understanding of software development lifecycle (SDLC) and version control systems (Git).

- Exposure to Docker and Kubernetes for containerized deployments.

- Knowledge of Python for scripting, automation, or quick prototyping.

- Familiarity with Machine Learning/Analytics for IoT data processing.

- Experience with CI/CD pipelines, testing frameworks, and DevOps practices.

(ref:hirist.tech)

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