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Tier-1 brand, metro location, broad backend/data/cloud skills and popular lead engineer title increase competition.
Requires retail demand-planning and forecasting domain expertise, limiting cross-industry transferability.
Explicit 8–12 years, leadership, retail demand-planning domain and specific tech stack make filters highly stringent.
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Lead technical roadmap and architecture for Demand Planning and Pricing platforms within Nike’s Supply Chain and Planning Technology organization.
Design, build, and scale robust backend microservices and distributed systems ensuring high reliability, scalability, and enterprise-wide integration.
Mentor engineering teams, drive cross-team alignment, and collaborate closely with product, business, and other technical leaders to deliver scalable platform capabilities.
8-12 years experience in building scalable backend systems.
2+ years in a technical leadership role driving architecture and guiding engineering teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Domain expertise in retail apparel industry demand planning, forecasting, and pricing solutions; strong experience in Java, Spring Boot, API design, event-driven systems (Kafka or RabbitMQ), data engineering tools (Spark, Databricks), and AWS cloud infrastructure.
Experienced leader capable of driving technical strategy for enterprise-scale, cloud-native distributed systems in retail demand planning context.
Strong full-stack software expertise with emphasis on backend systems, data engineering, and scalable microservices architectures.
Operates effectively in fast-paced, ambiguous environments and excels at mentoring engineers, aligning cross-functional teams, and employing AI-assisted development tools responsibly alongside strong engineering fundamentals.