Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHO WE ARE LOOKING FOR
We are looking for a full-stack Principal Software Engineer to join the Global Technology Consumer Product & Innovation (CP&I) team to deliver scalable software systems, guide engineering teams across our org and advise engineering leaders on technology and system design. The ideal candidate will have superior full-stack development experience in a native cloud centric environment. The person in this role must have outstanding communication skills, proven data design and implementation experience and a track record of delivering results. This person will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment as they collaborate with engineers, engineering management, product management, org leadership, and business partners.
WHAT YOU WILL WORK ON
In this role, you will be one of the primary technical leaders in the Merchandising Domain. You will collaborate with designers and product managers to translate UX/UI designs into interactive web experiences and contribute to front-end and back end architecture decisions and advocate for scalable, maintainable code. You will participate in all aspects of the software engineering cycle, design and build reusable frameworks, and deliver scalable software solutions focused on Product Merchandising. You will also design efficient solutions to integrate existing products and platforms. In a typical week, half of your time will be spent leading by example to design, develop, operate, and integrate Nike platforms and Merchandising Products. 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.
WHO YOU WILL WORK WITH
You will spend much of your time with Software Engineers in Product Merchandising Engineering and adjacent teams. You will partner closely with other Principal Engineers, Engineering Managers, Engineering Directors, and Product Managers across the organization. You will partner closely with UX designers to ensure delivery of high quality, user-centric designs and implementations. Reporting to the Senior Director of Engineering, you will collaborate closely with stakeholders across product, data, AI/ML, and governance to support a wide range of experiences. Your work will help unify data and capabilities across domains, enabling use cases for merchandising, while ensuring governance compliance, breaking down silos, and driving alignment across globally distributed teams and leadership levels throughout Global Technology.
WHAT YOU BRING
  • Excellent computer science fundamentals, including algorithms, data structure/design, and system performance/optimization.
  • Bachelor Degree in Computer Science or related field. Will accept any suitable combination of education, experience and training
  • 10+ years software engineering experience as an individual contributor developing custom software
  • 5+ years hands-on experience implementing and supporting modern software architectural principles and patterns. (REST, domain-driven design, microservices, serverless architecture, devops, etc)
  • Hands on experience with distributed cloud systems (node.js, EC2, Lambda, DynamoDB, Elasticsearch, or Google Cloud/Azure equivalents)
  • Rich experience with front-end web application technologies (JavaScript, CSS, html5, React/Redux, Vue, etc.)
  • Experience working with design systems. (Shadcn, Material UI or similar) as well as experience with accessibility standards (WCAG) and inclusive design practices
  • Experience developing, monitoring, and supporting highly available microservices/lambdas and applications
  • Experience optimizing front-end performance using tools like Lighthouse, WebPageTest, or Chrome DevTools and experience with front-end testing. (Jest, Cypress, Playwright)
  • Experience implementing and integrating AI, Machine Learning and related solutions preferred.
  • Continuous deployment and automated testing experience
  • Excellent influencing, verbal and written communication skills
  • Demonstrated ability to build and maintain relationships with multiple peers and cross-functional partners
  • Experience working in a technical leadership role with agile teams in a product model

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

Apply Now
What You Can Expect

OUR HIRING GAME PLAN

01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete.  No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

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