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Nike Principal Software Engineer in Boston, Massachusetts


  • Undergraduate degree in Computer Science, or equivalent experience

  • 7+ years of professional experience in software engineering, data engineering, machine learning, or related field

  • Strong problem solving and analytical attitude

  • Ability to write robust, maintainable, and extendable code in Python

  • Expertise with cloud architecture and technologies, in particular Amazon Web Services

  • Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Hive, Terraform is highly desirable

  • Expertise with agile development and test driven development

  • Understanding of data structures, data modeling and software architecture

  • Effective communication skills (with team members, the bus


We seek passionate Principal Software Engineers to join our team. As a Principal Software Engineer, you will develop robust sophisticated AI/ML solutions that have a direct impact on the business. This person should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR). As well, you should have a proven history of conceiving, executing, and delivering strategically important technology projects. Principal Engineers are encouraged to articulate a technology vision aligned to a critical business outcome, and to act as a technical leader to the teams involved in delivering that vision. Strong interpersonal skills are critical for this role as you will be required to communicate your technical vision both down to individual team members and up to senior leaders for buy-in.


If this is you, you’ll be working with the Advanced Analytics and Machine Learning (AAML) team at Nike. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to tackle machine learning problems at scale. You’ll be crafting and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and seek to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.

We value and nurture our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.


In this role, you’ll be working closely with the rest of our global team, along with Commercial and Consumer Analytics, Enterprise Architecture, and Solution Architecture. This role reports to a Director of Engineering on the AAML team.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.