Nike-posted 3 months ago
Full-time • Mid Level
Beaverton, OR
Apparel Manufacturing

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.

  • Solve complex software engineering problems supporting Nike's pursuit of delivering state of the art tools to our product developers and broader creation community.
  • Build tooling for our internal Innovation & Consumer Creation team members.
  • Invest in building modular, configurable and 'API-First' capabilities which will be consumed by modern web applications built with the most recent SPA frameworks.
  • Work on software projects to achieve Nike's business objectives.
  • Engage with other Global Technology functions and teams on organizational and technical goals.
  • Bachelor Degree in Computer Science or related field. Will accept any combination of education, experience and training.
  • 4+ years of hands-on industry software development experience.
  • Experience with front-end frameworks like React, Angular, or Vue.js.
  • Experience with cloud architecture, modern DevOps, infrastructure as code, CI/CD and related tools.
  • Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, s3.
  • Modern testing methodologies and frameworks such as Mocha, Jasmine and Jest.
  • Strong understanding of architectural design patterns and computer-science fundamentals.
  • Hands-on experience implementing and supporting modern software architectural principles and patterns (REST, domain-driven design, microservices, etc).
  • Excellent verbal and written communication skills.
  • Demonstrated ability to build and maintain relationships with multiple peers and cross-functional partners.
  • Experience with implementing and integrating AI, Machine Learning and related data solutions preferred.
  • Generous total rewards package.
  • Casual work environment.
  • Diverse and inclusive culture.
  • Electric atmosphere for professional development.
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