
Director of Engineering, Distribution Platform, ITC
- Karnataka
- Permanent
- Full-time
- Lead a multi-squad engineering team to deliver world-class supply chain solutions
- Define and execute the technology strategy for global inventory platforms, KPIs, and fitness functions
- Partner with product and business leaders to elevate Nike’s consumer fulfillment experience
- Champion cloud-native, decoupled, and edge-facing services with a focus on scalability and flexibility
- Drive flawless execution—on time and under budget—using data-driven iteration and agile methodologies
- Build and nurture high-performing, diverse engineering teams through servant leadership
- Represent Nike’s technology vision across internal and external forums
- Bachelor’s or Master’s degree in engineering.
- 15+ years leading diverse engineering teams, including multiple managers and squads.
- 8-10+ years of being a practitioner/ hands-on software engineering experience.
- And 4-5 years in management role planning, building, maintaining and managing technology, leading teams.
- Ability to thrive in a fast-paced, high-visibility environment with competing priorities
- Commitment to building strong, diverse global tech talent
- Collaborate effectively with culturally diverse and multiple stakeholder groups to define, align, communicate and deliver on commitments that drive value for the business, and celebrate cross functional wins and teams
- Deep expertise in global WMS platforms (preferably Manhattan Active WM or WMoS)
- Experience with TMS (preferably Blue Yonder) preferred
- Proven success delivering cloud-native microservices and edge-facing applications
- Strong background in Agile, DevOps (CI/CD), and distributed/cloud environments (AWS, Azure, GCP)
- Experience with Java, Node.js, or Scala; RESTful services; NoSQL (Cassandra, DynamoDB, MongoDB); and RDBMS (MySQL, Oracle)
- Familiarity with monitoring tools like Splunk, SignalFx, and New Relic
- Demonstrated ability to launch new microservices and manage legacy systems
- Proven experience building AI/ML-driven supply chain solutions