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Metro location and strong brand but niche retail POS/Xstore and AI leadership narrow qualified applicant pool.
Retail POS/Xstore and omnichannel expertise make cross-industry fit difficult.
Requires specific retail POS/Xstore, AI-first engineering leadership, cloud and integration experience, tightening filters.
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Lead and develop a high-performing engineering team specializing in Java, middleware, data, integration, and AI to deliver scalable, secure retail solutions across global markets.
Own end-to-end engineering delivery focusing on quality, scalability, technical debt management, and operational readiness aligned with business objectives.
Drive adoption of AI-first engineering practices and DevOps strategies to enhance productivity, automation, and continuous delivery.
Experience with POS systems, specifically Xstore, and strong retail domain knowledge including omnichannel commerce.
Proven leadership experience managing engineering teams in product, program, or engineering-led environments.
Strong technical expertise in software engineering, distributed systems, cloud-native architectures, CI/CD, and DevOps tooling.
Degree in Computer Science, Engineering, or related field preferred. Work Experience Required: Not explicitly mentioned in the JD.
Engineering leader with a robust understanding of retail business processes and global retail operations.
Experienced in driving AI-enabled SDLC processes and integrating AI-first mindset into software development and delivery.
Proven ability to collaborate across Product, Architecture, Security, Infrastructure, and Business teams within a global, cross-functional environment.