Solutions Architect

Overview

We are seeking a highly skilled Hands-on Solutions Architect with extensive expertise in Retail Point of Sale (POS) and Payment platforms. This role is responsible for defining, designing, and implementing enterprise-grade POS and payment solutions that are secure, resilient, and scalable. The ideal candidate combines architectural vision with deep technical execution, ensuring solutions are not just designed but also delivered with high quality across complex retail environments. This individual will serve as the technical lead for client-facing projects, responsible for translating business requirements into robust, scalable technical solutions.

Responsibilities

• Own end-to-end solution design for POS, checkout, and payment processing systems across stores, mobile, and e-commerce
• Translate business and functional requirements into detailed technical architectures, integration designs, and system blueprints
• Define data flows, API specifications, and event-driven patterns for transactions, settlements, loyalty, and fraud detection
• Design high-availability and offline-first architectures for in-store environments with intermittent connectivity
• Provide hands-on guidance to engineering teams, including prototyping, coding proof-of-concepts, and reviewing designs
• Partner with developers on POS SDKs, payment device integrations, and gateway APIs (e.g., Verifone, Ingenico, Adyen, Stripe, PayPal)
• Lead performance tuning for transaction throughput, latency optimization, and reconciliation accuracy
• Establish observability (logging, monitoring, alerting) and failover / recovery mechanisms for mission-critical POS / payment systems
• Implement integrations with ERP, OMS, CRM, Loyalty, Fraud Management, and Digital Wallets
• Ensure solutions are compliant with PCI-DSS, EMV, GDPR, and tokenization / security standards
• Define and validate non-functional requirements such as scalability, reliability, and operational resilience
• Stay hands-on with emerging retail technologies (RFID checkout, mobile wallets, tap-to-pay, QR-based payments)
• Experiment with cloud-native POS microservices, edge computing, and AI / ML for fraud detection and personalization
• Contribute reusable solution components, frameworks, and technical accelerators for enterprise-wide adoption

Qualifications

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