IT/OT Solution Architect (Ref 26590)

Responsibilities End-to-End Infrastructure Architecture • Server & Cloud Design: Work with partners to design server architectures (on-prem, cloud, and edge) to support projects. Ensure that design and architecture is fit-for-purpose – i.e. low-latency IOT, OT data processing. • Network Strategy: Architect secure network topologies, focusing on IT/OT segmentation, firewall placement (DMZ), and secure remote access for vendors and internal teams. • Integration: Ensure fit-for-purpose connectivity between diverse and disparate environments and ensure required segregation with enterprise IT systems. • Future proof: Design and implement that the next generation architecture for AI and GPUs DevSecOps & Automation Leadership • CI/CD Pipeline Design: Govern and own the implementation of DevSecOps practices within the environment, ensuring that security scanning and compliance checks are automated. • Infrastructure as Code (IaC): Develop and maintain IaC templates (e.g., Terraform, Ansible) to standardize the deployment of server and network environments. • Vulnerability Management: Design automated processes for patching and updating OT/IoT devices and server infrastructure without disrupting mission-critical operations. OT / IoT Strategy & Converged Governance • Reference Architectures: Develop and maintain the Master Reference Architecture for OT/IoT environments. • Asset Lifecycle Design: Create frameworks for secure device onboarding, provisioning, and decommissioning. • Technology Selection: Evaluate and select IoT gateways, industrial PCs, and edge computing hardware that align with performance and security standards. Technical Leadership & Stakeholder Management • Advisory: Act as the primary technical advisor to projects (Cloud and Edge), OT / IoT Lead and Business Project Owners. • Vendor Management: Review and approve vendor technical designs to ensure they meet the Group's architectural standards. • Mentorship: Provide technical guidance to the Systems Engineers in the Platform and Service Operations teams. AI & GPU Acceleration Strategy • Edge AI Deployment: Architect and design the architecture to enable the deployment of AI-driven analytics and GPU-accelerated workloads across the platform. This includes designing a framework and infrastructure to allow Edge AI for real-time computer vision, anomaly detection, and predictive maintenance within OT environments and the Resource Orchestration. • GPU as a Service : Evaluate and manage GPU as a Service for the organization to ensure the ecosystem can support the AI development that the organization is undertaking. Requirements • 8+ years of experience in IT infrastructure/system engineering. • 5+ years in a Solution Architect role, specifically dealing with converged cloud and edge solutions, preferably experience in IT/OT environments or IoT deployments. • Work with a team of systems engineers to design, implement and operate enterprise platforms. • Certifications (Highly Desired): • Architecture: AWS Solutions Architect Professional or TOGAF. • Cybersecurity: CISSP, GICSP (Global Industrial Cybersecurity Professional). • Infrastructure: CCNP/CCIE (Security or Enterprise) or equivalent. Technical & Domain Knowledge • Server & Virtualization : Advanced knowledge of AWS Cloud, Windows/Linux Server, VMware/Proxmox, and containerization (Docker, Kubernetes). • Networking : Advanced knowledge of L2/L3 switching, SD-WAN, VPNs, and Network Access Control (NAC). • DevSecOps : Good understanding in Jenkins/GitLab CI, Terraform, Ansible, and automated security tools (SAST/DAST). • OT / IoT : Deep understanding of the Purdue Model, SCADA, PLC integration, and Industrial IoT protocols (MQTT, LoRaWAN). • Cybersecurity : Good understanding of IT and OT cybersecurity standards, requirements, governance and compliance Licence no: 12C6060