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Metro location, recognizable multinational brand, and broad full-stack+AI skillset create moderate competition.
Core cloud, microservices and AI skills transfer across industries despite retail/RFID domain context.
Explicit 10+ years, plus 5+ years full-stack and 3+ lead experience with specific tech mandates, so high strictness.
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Lead architecture and development of RFID-driven, AI-enabled retail inventory and store process automation systems.
Design and implement scalable microservices and cloud-native applications on GCP integrating AI/ML and LLM tools for predictive insights and autonomous workflows.
Manage a team of engineers, collaborate with business and product leaders, and define technical standards for software, AI integrations, and operational efficiency.
10+ years professional experience with at least 5 years in full-stack development and 3 years in a technical lead role.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
Experience in retail or e-commerce domain working with cross-functional teams.
Technical skills: proficiency in Java, Python, Node.js, GCP cloud deployment; microservices architecture; integration of AI/ML models or LLM APIs; RFID exposure preferred.
Experienced in leading complex, AI-forward digital transformation projects within retail or e-commerce settings.
Comfortable operating in globally distributed Agile teams with strong stakeholder management skills.
Technical leadership focused on building resilient, scalable cloud-native applications with AI/ML and agentic automation integration.