Software Developer II (Firmware/IoT Engineer) at Amy Consulting

Key Responsibilities:

• Develop and maintain firmware for IoT devices, particularly on Raspberry Pi, ensuring optimal performance and stability.
• Design, develop, and maintain software applications to manage fleets of IoT devices.
• Build responsive user interfaces using Python frameworks like Kivy, Tkinter, or PyQt. • Work with AWS services (IoT Core, S3, Lambda, DynamoDB, Cognito) to manage device credentials, data storage, and secure communication between devices and the cloud.
• Deploy and manage over-the-air (OTA) firmware updates for IoT devices remotely.
• Ensure secure, reliable communication between IoT devices and cloud backends, following security best practices for data handling.
• Troubleshoot and resolve technical issues in both hardware and software environments. • Collaborate with product managers and cross-functional teams to design, develop, test, and deploy software solutions.
• Maintain and document codebases, software designs, and system architectures, including cloud integration.
• Test software to ensure responsiveness and efficiency, debug, troubleshoot, and upgrade software as needed.
• Create security and data protection settings for IoT devices and software applications.

Key Requirements:

• Bachelor’s degree with 5+ years or Advanced Degree with 3-5 years of professional experience.
• Minimum 3+ years of experience programming in Python.
• Degree in Electrical Engineering, Computer Engineering or any related fields. • Hands-on experience with firmware development for embedded systems. • Familiarity with other programming languages such as C++ or JavaScript for IoT device integration.
• Experience with containerization tools like Docker for IoT environments.
• Experience with custom UX/UI development for all Python based firmware is a bonus, not a requirement.
• Knowledge of IoT security protocols, secure boot, and encryption methods for data and device protection.
• Familiarity with version control systems like Git.
• Foundational Knowledge on AI/ML pipeline is a bonus, not a requirement