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Backend Systems Engineer - IOT/Smart City

Summary

Build backend systems that connect industrial IoT devices to a digital twin platform, handling real-time data ingestion, protocol translation, and integration using OPC-UA, MODBUS, and MQTT.

Role Overview

Join the Software Engineering team on a physical Operations Technology (OT) integration project. You will build and maintain the backend systems that connect OT field devices to the digital twin platform — handling real-time data ingestion, protocol translation, and system integration across industrial communication standards.

Key Responsibilities
  • Develop and maintain backend services and middleware for OT/IoT data ingestion using OPC-UA, MODBUS, and MQTT protocols.
  • Build data pipeline components that normalise, process, and route telemetry from field devices to platform services and 3D visualisation layers.
  • Integrate AI coding tools (e.g. Claude, Copilot) into daily development workflows for code generation, unit testing, and validation — this is an expected practice, not optional.
  • Write and maintain automated test suites covering protocol adapters, data transformation logic, and integration endpoints.
  • Collaborate with frontend Unity engineers and systems architects to define and implement API contracts (REST/WebSocket).
  • Participate in code reviews, contribute to technical documentation, and support deployment through CI/CD pipelines.
  • Troubleshoot field connectivity and protocol issues; work with OT/hardware teams on device commissioning and debugging.
Must‑Have Requirements
  • Hands‑on experience with OPC-UA, MODBUS, and MQTT — protocol implementation, not just conceptual familiarity.
  • Proficiency in backend development (Python, Node.js, Go, or Java — at least one).
  • Active use of AI tools for coding, testing, and validation in prior roles or personal projects.
  • Experience writing integration and unit tests; familiarity with test automation frameworks.
  • Comfortable working with message brokers (MQTT brokers, Kafka, or similar) and time‑series or event‑driven data.
Good to Have
  • Exposure to digital twin platforms or industrial IoT stacks.
  • Familiarity with OT security considerations (network segmentation, secure protocol configuration).
  • Experience with containerisation (Docker/Kubernetes) and CI/CD tooling.
  • Knowledge of BACnet, DNP3, or other industrial protocols.
Experience Required
  • 2–5 years in backend or systems software engineering, with at least some exposure to OT/IoT environments.
  • Degree in Computer Science, Engineering, or equivalent practical experience.

See also