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Nike LEAD PLATFORM ENGINEER NIKE RUNTIME FOUNDATION 
United States, Oregon, Beaverton 
9633002

02.07.2024

WHAT YOU WILL WORK ON

In this role, you will lead the design and development of a Kubernetes-based foundational platform. You will do hands-on development, building custom controllers, REST APIs, and GitOps deployment of CNCF components. And you’ll provide technical coaching to less experienced engineers.

You will adopt, implement, and promote best-in-class design and architecture principles of security, observability, availability, and reliability. Contribute to ways of working, development standards, training, and hiring.

WHO YOU WILL WORK WITH

You'll work closely with other Platform Engineers to deliver technical design and solutions, contributing to the future success of the business through innovations in technology. You will partner with product and engineering leadership to break down epics into stories with clear acceptance criteria. And you’ll document, present, and influence technology solutions to various teams in the organization.

WHAT YOU BRING

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or similar field or relevant professional experience, education, and training.
  • 7+ years of professional software development experience.
  • 2+ years operating Kubernetes-based solutions in production.
  • Experience designing and developing large-scale distributed systems on public cloud computing platforms.
  • Demonstrated experience in technical leadership and setting technical direction for engineering projects.
  • Strong understanding of networking protocols and layers.

Preferred qualifications:

  • Experience developing Kubernetes controllers in Golang
  • Experience using ArgoCD or similar tools to implement GitOps
  • Ability to create abstracted solutions that do not rely on any Cloud Service Provider
  • Able to navigate governance and compliance requirements of Global Platforms
  • Passionate about delighting enterprise customers and an understanding of enterprise workloads