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At Nike, our mission is to leverage the power of advanced data and innovative technology to inspire and serve athletes* worldwide. You will be part of the Data & AI (DAI) team, a dynamic group at the heart of digital transformation. This team designs, builds, and maintains scalable, intelligent, and secure platforms that drive critical decision-making, personalized consumer experiences, and operational excellence throughout the global Nike ecosystem. Collaboration is key—expect to interact with talented engineers, data scientists, product managers, and global stakeholders who share a passion for excellence and innovation.
We are searching for a visionary and accomplished Principal Software Engineer to join our Tech Center in India. You are not only an expert in software architecture and engineering, AIML framework, but also a strategic thinker who can see the long-term impact of technology decisions. Your experience allows you to guide teams through ambiguity, set clear technical standards, and shape the future of Nike’s data-driven platforms. You thrive in a fast-paced environment where cross-functional collaboration, creativity, and agility are essential. You have a demonstrated history of successfully leading engineering teams, delivering innovative solutions, and driving organizational change at scale.
Information Technology, or a related field.
infrastructure, and big data technologies (e.g., Apache Spark, Kafka, Hadoop,
Databricks).
pipelines, and infrastructure as code (IaC).
enterprise environments.
large-scale data and AI platforms, ensuring they are robust, secure, and highly
performant.
infrastructure, setting high standards for code quality, reliability, and maintainability across multiple engineering teams.
intellectual curiosity, and continuous growth. Provide thought leadership to enable
teams to solve challenging engineering problems.
continuous integration and delivery (CI/CD), DevOps practices, test-driven
development, and agile frameworks to accelerate innovation and delivery.
and solution design, to implementation, monitoring, and optimization.
engineering community.
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