Frontend Systems Engineer

Responsibilities: Lead the design and development of interactive 3D visualization interfaces using Unity 3D, including real-time digital twin dashboards and OT operational views. Architect and implement geospatial rendering systems - integrating map layers, coordinate systems and spatial data into Unity-based frontends. Design and deliver seamless integration between Unity frontend components and backend systems, middleware, IoT/OT data pipelines, and REST/WebSocket APIs. Collaborate with IoT, OT, and robotics engineering teams to translate telemetry, sensor, and asset data into real-time 3D visualisation. Drive technical decisions around rendering performance, level-of-detail (LOD) strategies, shader optimisation, and scene management for large-scale operational environments. Build and maintain reusable UI component libraries within Unity, aligned to UX guidelines and design system standards. Define and enforce frontend engineering standards, coding conventions, and review practices Engage with product owners, systems architects, and client stakeholders to ensure frontend solutions meet functional and non-functional requirements. Contribute to CI/CD pipeline integration for build artefacts, automated testing, and deployment workflows. Experience & Qualifications Minimum 5 years of software engineering experience, with at least 3 years focused on Unity 3D development in a production environment. Demonstrated delivery of Digital Twin or 3D visualisation solutions for operational, industrial, or smart city domains. Understanding of IOT integrations such as OPC-UA, Modbus, MQTT, - Middleware integration and BMS integration Understanding of Command and Control (C3) systems. Hands-on experience integrating real-time IoT/OT sensor data into interactive 3D or geospatial frontends. Track record as a subject matter expert - driving architecture decisions, conducting code reviews, and managing delivery risk. Strong understanding of systems engineering principles; able to design frontend components with awareness of full-stack integration constraints. - Comfort using AI to accelerate coding, testing, validation is a must."