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Nike

Software Engineer

Nike

Beaverton, Oregon, United States (Hybrid) · Vertrag

Bewerben Sie sich als Erste/r!

Erfahrung
2+ Jahre
Gehalt
Stellenangebote
1
Veröffentlicht
vor 6 Stunden
Arbeitsmodus
Hybrid
Wieder aufnehmen
Bewerbung erforderlich

Wo Sie arbeiten werden

Stellenbeschreibung

About the Role

Join Nike as a Software Engineer contractor with an impactful role contributing to its diverse digital product portfolio. This position allows you to work primarily onsite Monday through Thursday, splitting time between Beaverton, OR, and Boston, MA. Becoming part of Nike's Contract Talent Community and Software Engineer Talent Pool provides access to future contract opportunities.

At Nike, the culture encourages pioneering ideas and rewarding creativity, striving for innovation beyond conventional limits. The role involves creating platforms, tools, and engaging consumer experiences spanning AI developer tooling, ecommerce, mobile devices, and internal infrastructure.

Key Responsibilities

  • Develop and maintain both consumer-centric features and internal tools across various digital products.
  • Write well-structured, testable code focusing on full-stack or backend systems with Python, TypeScript, and React.
  • Design and deploy scalable distributed systems and APIs capable of handling millions of requests.
  • Oversee CI/CD pipelines and improve infrastructure resilience using Docker, Kubernetes, and AWS cloud services.
  • Engage in peer code reviews, contribute to technical designs, and collaborate on engineering decisions.

Required Qualifications

  • Minimum of two years' experience in software engineering, varying by level.
  • Proficiency in Python, TypeScript, or React, with preference for expertise in multiple of these technologies.
  • Hands-on experience with AWS cloud services and cloud-native application development.
  • Familiarity managing CI/CD pipelines involving Docker and Kubernetes.
  • Background in working with distributed systems or microservices architectures.
  • Additional advantages include AWS certification or experience with AI/ML tooling.

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