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Nike

Principal Software Engineer, ITC

Posted An Hour Ago
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Remote
Hiring Remotely in Karnataka, IND
Expert/Leader
Remote
Hiring Remotely in Karnataka, IND
Expert/Leader
Lead architecture and design for high-volume data and integrations, build reusable frameworks and data platforms, drive DevOps/CI/CD and IaC adoption, mentor engineers, advise on technology strategy, and ensure security and compliance across CP&I engineering teams.
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WHO YOU WILL WORK WITH

You will be a part of the larger Global Technology organization working on Nike’s Consumer Product & Innovation solutions.  You will work day-to-day with teams of engineers, Product Managers and Principal Engineers building software for Nike’s Merchants, Product Designers & Product Developers.

WHO WE ARE LOOKING FOR

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 frameworks, 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 solutions for our Merchants, Product Designers and Product Developers. 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.

WHAT YOU WILL WORK ON

You will be part of our Reporting & Intelligence Engineering team in the Consumer Products & Innovation organization.  In a typical week, half of your time will be spent leading by example to design, develop, operate, and integrate Nike and partner platforms and applications.  The other half will be leadership responsibilities to drive technical priorities, define engineering best practices, collaborate with peers, and help to translate business problems into technical solutions. You will be responsible for:

  • Leading architecture and design discussions for high-volume data sets and complex integrations ensuring they are robust, secure, and highly performant

  • Designing and building reusable frameworks, automated workflows, and libraries at scale to support Merchandising, Product Design & Product Development solutions

  • Championing best practices in software development, data engineering, and cloud infrastructure, setting high standards for code quality, reliability, and maintainability across multiple engineering teams

  • Advising engineering leaders on technology strategy, system design, and technical best practices across the CP&I organization

  • Mentoring and coaching senior engineers, fostering a culture of technical excellence, intellectual curiosity, and continuous growth. Providing thought leadership to enable teams to solve challenging engineering problems

  • Driving adoption of modern engineering methodologies, including automation, continuous integration and delivery (CI/CD), DevOps practices, test-driven development, and agile frameworks to accelerate innovation and delivery

  • Evaluating, recommending, and integrating emerging technologies, frameworks, and tools to strengthen Nike’s technology ecosystem

  • Overseeing the end-to-end lifecycle of critical projects, from requirements gathering and solution design, to implementation, monitoring, and optimization

  • Ensuring all platforms and services meet stringent security, privacy, and compliance standards, proactively identifying and mitigating risks

  • 12+ years of progressive experience in software engineering, with at least 5 years in a senior leadership or principal engineer capacity

  • Extensive expertise in building, deploying, and scaling sophisticated data platforms, distributed systems, and cloud-native architectures (preferably with AWS, Azure, or GCP)

  • Advanced proficiency in one or more programming languages: Python, Java, Scala, Go, or C++

  • Comprehensive knowledge of data engineering, data analytics, machine learning infrastructure and big data technologies (e.g., Apache Spark, Kafka, Hadoop, Databricks)

  • Strong track record with modern DevOps methodologies, automation, CI/CD pipelines, and infrastructure as code (IaC)

  • A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications.

  • Exceptional communication, leadership, and stakeholder management skills, with the ability to influence and inspire at all levels of the organization.

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