Sr. Consultant

Role Overview We are seeking a hands-on senior consultant to help design and evaluate next-generation POS hardware and edge computing architecture for a large QSR environment. This is an onsite architecture-focused role, not a support or management position. The focus is on: Architecture design and tradeoff analysis Future-proofing POS systems (5–10 year horizon) Extending hardware lifecycle and reducing OS dependency risks Supporting scalable systems capable of evolving with AI-driven workloads Key Responsibilities Evaluate current POS hardware and deployment models Design edge-based architectures to: Reduce dependency on POS terminal OS end-of-support risks Shift POS logic away from terminals where appropriate Ensure full offline capability in high-volume environments Define workload placement (POS terminal vs edge vs cloud) Assess hardware/OS choices for future scalability and AI readiness Deliver architecture diagrams, documentation, and tradeoff analysis Required Experience (Must Have) POS & QSR Systems 5+ years experience with enterprise POS systems in QSR or high-volume retail Strong understanding of: Transaction processing Payments systems Peripheral integration Offline / degraded network operations Experience designing around existing POS systems (not replacing them) Edge Computing & Architecture Hands-on experience with edge computing in distributed environments Ability to design store-level compute systems that operate offline Experience managing mixed fleets (legacy + modern systems) POS Hardware Experience with enterprise POS hardware such as: NCR Oracle MICROS HP or similar vendors Understanding of long hardware lifecycle and refresh constraints OS & Imaging OS imaging and lifecycle management experience Windows LTSC in POS environments Practical Linux usage for edge/backend systems Future-Ready Architecture Capacity planning for 3–5+ year technology horizons Understanding impact of AI, automation, and real-time analytics on infrastructure Ability to design systems that scale without frequent hardware replacement Focus is infrastructure impact of AI—not AI model development Nice to Have Headless or API-first POS architectures Edge containerized workloads PCI/payment isolation experience Experience writing architecture documents for both technical and executive audiences Ideal Candidate Summary A senior individual contributor with deep QSR POS and edge architecture experience who can evaluate hardware, OS, and distributed compute tradeoffs, and design scalable, future-ready POS systems that minimize unnecessary hardware refresh cycles.