IoT Engineer

Our client is looking for an experienced IoT Engineer to design, build, and deploy secure, scalable, and intelligent IoT solutions across cloud and edge environments.

This role suits a hands-on engineer with strong experience in embedded systems, IoT protocols, device connectivity, data ingestion, and cloud IoT platforms. You will help shape end-to-end IoT architectures that integrate sensors, devices, gateways, analytics, and AI-driven automation., * Design and implement IoT end-to-end systems including edge devices, sensors, gateways, and cloud integration.

• Develop firmware, embedded software, or device-level control systems (C/C++, Python, Rust preferred).
• Configure and optimise IoT communication protocols (MQTT, CoAP, LoRaWAN, BLE, Zigbee, NB-IoT).
• Build secure data ingestion pipelines into cloud environments (Azure IoT Hub, AWS IoT Core, GCP IoT).
• Develop automation and monitoring scripts for device fleets and remote updates (OTA).
• Implement security standards across IoT deployments, including encryption, authentication, and device identity.
• Work closely with Data Engineers, ML Engineers, and Product teams to integrate AI, predictive maintenance, and analytics capabilities.
• Troubleshoot device behaviour, connectivity issues, and system failures across edge and cloud layers.
• Build dashboards and observability tools to monitor IoT system health and performance.
• Contribute to architectural design documents, testing protocols, technical documentation, and continuous delivery pipelines.

Do you have experience in Zigbee?, * 3+ years in IoT, embedded systems engineering, or hardware-software integration.

• Hands-on experience with:
• Embedded programming (C/C++/Rust)
• Python for data and automation
• Edge device configuration
• Strong understanding of IoT protocols (MQTT, HTTP/REST, CoAP, BLE, Zigbee, etc.).
• Experience with cloud IoT platforms:
• Azure IoT Hub / DPS
• AWS IoT Core
• Google Cloud IoT
• Experience with hardware interfaces (GPIO, I2C, SPI, UART) and sensor integration.
• Understanding of networking fundamentals (TCP/IP, VPNs, firewalls, TLS).
• Ability to design secure IoT systems with device authentication and encryption.
• Knowledge of containers and edge compute (Docker, Azure IoT Edge, AWS Greengrass).

Desirable Skills

• Experience building IoT data pipelines for AI/ML applications.
• Familiarity with real-time analytics, time-series databases (InfluxDB, TimescaleDB).
• Knowledge of industrial automation protocols (Modbus, OPC UA).
• Experience with predictive maintenance, computer vision on edge devices, or robotics.
• Exposure to PCB design or hardware prototyping.
• Understanding of digital twins and IoT modelling tools.