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Tier-1 brand, remote role, and popular backend leadership title create high candidate competition.
Requires retail demand-planning and pricing domain expertise, reducing cross-industry transferability.
Explicit 8–12 years plus leadership and specific backend, data, cloud, and Kafka requirements make filters highly strict.
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Lead technical roadmap and architectural decisions for demand planning and pricing backend platforms in retail apparel domain.
Design and build scalable, resilient microservices and distributed systems using Java, Spring Boot, event-driven architecture, and cloud-native patterns.
Mentor engineering teams and collaborate cross-functionally to deliver enterprise-scale platform capabilities with focus on data integration, cloud deployment, CI/CD, and AI-assisted development practices.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
8-12 years of experience building scalable backend systems with at least 2 years in technical leadership roles.
Domain expertise in retail apparel demand planning, forecasting, and pricing systems.
Strong skills in Java, Spring Boot, distributed systems, event-driven messaging (Kafka, RabbitMQ), SQL, cloud platforms (AWS preferred), CI/CD, containerization (Docker/Kubernetes), and frontend frameworks (React or Angular).
Experienced technical leader who can drive architecture and roadmap for complex backend systems in retail apparel supply chain technology.
Strong domain knowledge in demand planning and pricing with ability to translate business requirements into scalable technical solutions.
Comfortable operating in fast-paced, ambiguous environments with emphasis on forward-deployed engineering, mentorship, and cross-team collaboration.