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Schneider Electric UAE seeks a senior engineering leader to drive tech direction, architect IIoT edge and industrial solutions across IT, edge, and control layers.
You will mentor engineers, oversee lab infrastructure, and evaluate new technologies while engaging with stakeholders and standards bodies to advance secure, scalable architectures.
Set technical direction through design and code reviews best practices and mentoringLead system design and architecture for OPA SDA and IIoT edge solutions and build them hands-on across industrial connectivity control edge and IT layersOversee lab architecture and infrastructure including servers control edge devices and CI CDEvaluate emerging technologies and standards and present findings to stakeholders Bachelor s in Computer Science, Software Engineering, Computer Engineering, or a related field12+ years in engineering or R&D, turning emerging technologies into working solutionsProven technical leadership in owning the architecture and delivery of complex solutions and mentoring engineers, and familiarity with Agile practices (Scrum/Kanban)Strong system design (microservices, APIs, event-driven architecture, high availability, security by design) and DevOps (Docker, CI/CD, Git, IaC, Windows/Linux, virtualization, networking)Expert in Python or C# and comfortable with the other, writing clean, tested, maintainable codeProficient in AI-assisted engineering, using AI tools across design, coding, testing, and documentationWorking knowledge of IIoT/edge technologies, including industrial protocols (OPC UA, MQTT, Modbus) and containerized workloads on resource-constrained devicesStandards and R&D: contributing to standards bodies (e.g., Open Group, Margo, OPC Foundation), patents or publications, and conformance and multi-vendor interoperability testingInfrastructure and security: Active Directory, PKI/X.509 certificates, IEC 62443, monitoring (Redfish, Zabbix, Prometheus, Grafana), and orchestration (Barbara, K3s)Agentic and edge AI: building and deploying agents (agent SDKs, MCP, RAG) to automate engineering and business workflows, on-device inference, and LLM fine-tuningIndustrial hardware: controllers, I/O, gateways, and edge boards; embedded Linux and serial/RS-485Virtualized and real-time control: containerized control runtimes, real-time Linux, and TSN