Systems and Integration Engineer

About the role

We are building a hardware-agnostic IoT platform that connects physical sensors, industrial controllers, gateways, and OEM devices to a unified cloud dashboard. We need an experienced IoT systems & integration engineer who can build the protocol adapters, gateway software, and device abstraction layer that makes this possible. This role works directly with a large ecosystem of OEM hardware suppliers across multiple countries.

The ideal candidate

You have spent years working with real hardware — not simulated devices. You have debugged Modbus register maps, written MQTT clients that run on embedded Linux gateways, and configured industrial IoT gateways for production deployments. You can read a hardware datasheet and write a Python protocol adapter without help. You understand that data quality from device to cloud matters more than feature velocity.

Key responsibilities

Device & protocol integration
Build and maintain the device integration layer: Python and C-based protocol adapters, drivers, and translation modules for sensors, PLCs, energy meters, gateways, and OEM hardware
Implement production-quality integration adapters for: MQTT v3.1/v5.0, Modbus TCP, Modbus RTU, OPC-UA, BACnet/IP, SNMP, CoAP, HTTP REST, and proprietary OEM APIs
Write reusable protocol libraries that abstract hardware communication behind a unified device interface — not one-off scripts per device
Build and maintain the device compatibility matrix: all tested hardware logged with protocol version, firmware, known issues, config templates, and onboarding effort estimate
Conduct hardware-in-the-loop testing for every new device: validate telemetry accuracy, command round-trip time, error handling, and reconnection behaviour under interrupted connectivity
Build device profile templates enabling configuration-based onboarding of certified device types — no customer-side code required
Implement data normalisation: raw hardware values (register counts, voltage, proprietary units) converted to standardised engineering-unit JSON telemetry

Edge & gateway engineering
Build edge gateway software running on embedded Linux gateways and Raspberry Pi-class devices for local protocol translation, data buffering, and pre-processing
Implement local data buffering on edge: no data loss during cloud connectivity gaps — mandatory for industrial and logistics deployments
Develop edge aggregation logic: configurable statistical summaries to reduce uplink bandwidth where cloud cost or connectivity is constrained
Configure and validate edge runtimes: AWS Greengrass, Azure IoT Edge, or Node-RED on target OEM gateway hardware
Implement secure edge-to-cloud communication: mTLS with X.509 certificates, certificate rotation, and revocation handling
Build OTA update clients on edge devices: receive, validate, stage, and apply firmware updates from the platform OTA service

OEM & hardware onboarding
Evaluate new hardware from the supplier ecosystem: produce integration feasibility reports and effort estimates within 48 hours of receiving a new device
Work with OEM technical teams to obtain datasheets, SDK documentation, communication specs, and evaluation units
Write SDK and integration guides for each certified hardware family — enabling customers to self-onboard without raising support tickets
Validate hardware compatibility for customer deployment environments before any commercial commitment is made
Maintain complete documentation for every integration: protocol specs, firmware versions tested, known limitations, configuration templates, troubleshooting steps

Requirements

• 5–9 years of hands-on IoT systems integration, embedded systems, or industrial automation work — lab or field hardware experience is mandatory; purely software candidates will not be considered
• Deep, practical Modbus TCP and RTU experience — you have implemented Modbus masters and slaves, mapped register addresses from datasheets, and debugged communication failures at the byte level – non-negotiable
• Solid MQTT knowledge: broker configuration, topic design, QoS level selection, hardware MQTT client integration and troubleshooting – non-negotiable
• Python for production-quality protocol adapter development — not scripting; you write maintainable, tested integration libraries
• Industrial IoT gateway configuration and programming: Advantech, Moxa, Pepperl+Fuchs, or any equivalent embedded Linux gateway platform
• OPC-UA hands-on experience: browsing server address spaces, reading node values, implementing client subscriptions
• Ability to read hardware datasheets, electrical schematics, and communication protocol specifications independently — this is a day-to-day requirement, not an occasional one – critical skill
• Sensor domain experience across at least 3 of the following: temperature/humidity, power/energy monitoring, GPS/asset tracking, pressure/flow, vibration/accelerometer, air quality
• Remote work discipline: rigorous documentation habits, async-first communication, and ability to coordinate physical hardware testing across distributed locations – remote discipline

Nice to have

• LoRaWAN end-device commissioning, gateway configuration, and network server setup (ChirpStack preferred)
• Cellular IoT module integration: NB-IoT, LTE-M, or 4G — SIM7600, Quectel EC25, or equivalent
• BACnet/IP or BACnet MS/TP for building automation and HVAC integration
• Embedded C or C++ for device firmware or firmware interface library development
• AWS Greengrass v2 or Azure IoT Edge module development
• IEC 62443 industrial cybersecurity standard knowledge
• Vertical experience in any of: cold chain, energy management, smart metering, predictive maintenance, fleet telematics

Skills at a glance

Protocols: MQTT v3.1 / v5.0 (expert) · Modbus TCP + RTU (expert) · OPC-UA (proficient) · BACnet/IP · SNMP · CoAP · HTTP REST · LoRaWAN (advantageous)

Hardware: Industrial gateway configuration (Advantech, Moxa) · Raspberry Pi / embedded Linux · ESP32 / Arduino class devices · RS485 / RS232 serial interfaces · GPIO, I2C, SPI interfaces · CAN Bus (advantageous)

Software: Python (production library quality) · C / C++ (embedded interface level) · Node-RED (flow-based edge logic) · AWS Greengrass / Azure IoT Edge · Wireshark (protocol debugging) · Modbus Poll / UaExpert (test tools)

Sensors: Temperature & humidity sensors · Energy / power meters (3-phase) · GPS & asset trackers · Pressure & flow sensors · Vibration & accelerometers · Air quality (CO2, VOC) · Ultrasonic / level sensors