Nike-posted 3 months ago
Full-time • Senior
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.

  • Lead by example to design, develop, operate, and integrate Nike and partner platforms and applications.
  • Drive technical priorities and define engineering best practices.
  • Collaborate with peers and help translate business problems into technical solutions.
  • Excellent computer science fundamentals, including algorithms and data structures.
  • Bachelor Degree in Computer Science or related field, or any suitable combination of education, experience and training.
  • 10+ years software engineering experience as an individual contributor developing custom software.
  • Hands-on experience implementing and supporting modern software architectural principles and patterns (REST, domain-driven design, DevOps, microservices, 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 with implementing and integrating AI, Machine Learning and related data 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.
  • Experience developing, monitoring, and supporting highly available microservices/lambdas and applications.
  • 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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