Job Title: Junior - IoT Solutions Architect
Job Summary
The Junior IoT Solutions Architect plays a crucial role in supporting the design, development, and implementation of innovative IoT solutions under the mentorship of senior architects. This position requires a foundational understanding of IoT ecosystems, including the integration of various sensors and devices, and ensuring secure and efficient data flow across IoT networks. The Junior IoT Solutions Architect will engage in troubleshooting connectivity issues, assist in the development of prototypes, and uphold best practices in IoT deployments, contributing to the overall success and reliability of IoT initiatives.
Key Responsibilities
- Assist in designing and developing IoT architectures and solutions that meet project requirements and client needs.
- Support the integration of IoT hardware and software, ensuring seamless operation and communication between devices.
- Work collaboratively with cross-functional teams to implement various IoT connectivity protocols, including MQTT, CoAP, LoRaWAN, Zigbee, Z-Wave, and NB-IoT.
- Collaborate with software developers to effectively integrate IoT platforms and APIs into existing systems.
- Assist in troubleshooting IoT devices, sensors, and connectivity issues to maintain optimal performance.
- Conduct initial security assessments on IoT deployments and implement basic security configurations to safeguard data and devices.
- Support the documentation of IoT architecture, configurations, and deployment procedures to ensure clarity and compliance.
- Participate in proof-of-concept (PoC) projects to evaluate and test new IoT implementations and technologies.
- Conduct performance testing and debugging of IoT solutions to enhance functionality and reliability.
- Learn and apply machine learning and analytics concepts to derive insights from IoT data.
Skills and Knowledge Required
- Basic understanding of IoT frameworks, architectures, and communication protocols.
- Familiarity with embedded systems, microcontrollers, and sensor networks.
- Fundamental knowledge of cloud services such as AWS IoT, Azure IoT Hub, and Google Cloud IoT Core.
- Basic cybersecurity knowledge specific to IoT environments, including encryption, authentication, and secure communication practices.
- Programming skills in languages such as Python, C, C++, Java, JavaScript, Node.js, or Go.
- Knowledge of networking concepts, including IP addressing, TCP/IP, VPNs, firewalls, NAT, DNS, and SD-WAN.
- Exposure to databases and data storage solutions, including SQL, NoSQL, InfluxDB, and TimescaleDB.
- Experience with API development and integration for seamless communication between systems.
- Understanding of AI and ML frameworks applicable to IoT, such as TensorFlow, Edge AI, and OpenCV.
Educational Qualifications
Bachelor’s degree in Computer Science, Electrical Engineering, Telecommunications, IoT Engineering, or a related field.
Key Focus Areas
- IoT device integration, interoperability, and communication.
- Data acquisition, real-time data processing, and analytics.
- Security principles and best practices for IoT devices and networks.
- Cloud computing, edge computing, and hybrid IoT environments.
- IoT hardware development and sensor interfacing.
Experience
0–2 years of experience in IoT, embedded systems, or related fields, with hands-on experience in IoT platforms, protocols, and basic security measures.
Tools and Equipment
- IoT platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, Kaa, and OpenHAB.
- Development boards and microcontrollers including Raspberry Pi, Arduino, ESP8266/ESP32, STM32, and BeagleBone.
- Networking tools like Wireshark, MQTT clients, LoRaWAN gateways, Modbus simulators, and OpenVPN.
- Cloud and edge computing platforms for deploying IoT solutions.
- Cybersecurity tools designed for IoT protection and data security.
- Machine learning libraries and AI tools for IoT data analytics.
Other Requirements
- Willingness to learn and adapt to new IoT technologies and trends.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to work effectively in a collaborative team environment.
- Excellent communication and documentation skills to convey complex ideas clearly.
- Knowledge of Agile and DevOps methodologies for efficient IoT solution development.