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Principal, Software Engineering - Merchandising

Job in Beaverton, Washington County, Oregon, 97078, USA
Listing for: Nike
Full Time position
Listed on 2025-12-20
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below

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, Dynamo

    DB, 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, Web Page Test , or Chrome Dev Tools 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.

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