Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, remote role, and broad full-stack/backend skillset create high candidate competition.
Role requires retail demand planning domain expertise and platform experience, limiting cross-industry transferability.
Explicit 8–12 years requirement plus mandatory leadership, Java/Spring, Kafka, cloud, and data skills increases strictness.
Lead technical strategy, architecture, and execution for Demand Planning and Pricing (DPP) platforms within Nike's Supply Chain and Planning Technology organization.
Design and build scalable backend systems, microservices, and data pipelines integrating event-driven architectures and cloud-native deployment (AWS preferred).
Mentor engineering teams, drive technical roadmaps, enforce engineering best practices, and collaborate with cross-functional partners to deliver enterprise-wide capabilities.
8-12 years of experience building scalable backend systems.
2+ years in a technical leadership role guiding teams and making architecture decisions.
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; experience with Java, Spring Boot, event-driven messaging (Kafka or similar), SQL, cloud infrastructure (AWS preferred), and CI/CD containerization (Docker/Kubernetes).
Experienced leader who can drive cross-team alignment and translate complex business requirements into scalable technical solutions.
Strong backend and data engineering skills combined with cloud-native platform experience and forward deployed engineering mindset for rapid delivery.
Comfortable working with AI-assisted development tools and evolving platform technologies, maintaining high standards in system reliability and engineering excellence.