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Strong global brand, remote role, senior backend title, and broad full-stack/cloud requirements.
High due to explicit retail demand-planning domain expertise requirement reducing cross-industry transferability.
Explicit 8-12 years, 2+ years leadership, plus specific retail demand-planning domain and tech stack requirements.
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Lead technical strategy, architecture, and execution for Demand Planning and Pricing platform domain, driving scalable backend and microservices development.
Own the technical roadmap in partnership with Product and Architecture, leading architectural decisions and cross-team technical reviews.
Mentor and guide engineering teams while collaborating with product, business users, and cross-functional partners to deliver scalable, reliable systems on cloud platforms (AWS preferred).
8-12 years experience in building scalable backend systems.
2+ years experience in a technical leadership role guiding teams and driving architecture decisions.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Mandatory expertise in retail apparel industry demand planning, forecasting, pricing solutions, full-stack software development, distributed systems (API design, microservices, databases), event-driven architecture (Kafka, RabbitMQ), data engineering (Spark, Databricks), cloud infrastructure (AWS preferred), and CI/CD/containerization (Docker/Kubernetes).
Technical leader with experience in enterprise-scale platform development, especially in retail demand planning and pricing domains.
Strong operating style balancing strategic architecture ownership with hands-on backend and data engineering expertise in cloud-native environments.
Proven track record mentoring engineers, influencing cross-team alignment, and integrating AI-assisted development tools to enhance engineering productivity and system capabilities.