Software Engineer – Expert (USA)

Category: Technology

• Innovative Technology; High Quality Products, Self-Empowerment
• Globally Responsible; Sustainable Products, Diversity of Thought
• Celebration of Sports; If You Have a Body, You are an Athlete

Title: Software Engineer – Expert

Location: Beaverton, OR

Duration: 8 month contract

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO YOU WILL WORK WITH
Team of 15: Platform team developing solutions for infrastructure + automation like access control, networking, data integrations, model refresh, A/B testing, observability, paved path terraform, etc.
WHAT YOU WILL WORK ON

• Assessing well-defined problems and leading the development of technical solutions that meet business needs and align with architectural standards
• Managing small- to moderate-sized solutions, or playing a key role on larger teams, working within the parameters of two to three sprints
• Providing direction to team members and/or vendors
• Advising product owners on discrete technology-related business problems; formulating options, including assessing their relative merits and risks; and working with product owners to determine the best solutions

WHAT YOU BRING

• Bachelors Degree and minimum of 5 years directly relevant work experience
• Strong computer science fundamentals
• 2+ years professional software development experience
• Programming skills in Python, Golang
• Infrastructure as Code / Dev Ops practices and technologies like Terraform
• AWS Cloud services experience
• Experience developing and using microservices

Preferred:

• Knowledge on AIML / machine learning concepts (ML Serving / ML Training, GenAI, RAG, Vector Databases, A/B Testing, Model Experimentation)
• Experience with Big Data technologies (e.g. Spark)
• Experience with Databricks ecosystem