Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?
WHO YOU’LL WORK WITH
At Nike, we harness the power of data and technology to serve athletes* worldwide. The Data, Analytics, and Intelligence (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that enable data-driven decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.
We value and nurture our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.
Undergraduate degree in Computer Science, or equivalent experience
1+ years of professional software engineering experience
Strong problem solving and analytical mindset
Ability to write robust, maintainable, and extendable code in Python
Nice to have familiarity with front-end languages (HTML, CSS, JavaScript or TypeScript) and UI frameworks such as React or rapid-prototyping tools such as Streamlit
Experience with Infrastructure-as-Code (IaC) and GitOps workflows
Experience with cloud architecture and technologies, in particular Amazon Web Services and large-scale application development on cloud platforms
Experience and familiarity with containerization (Docker), CI/CD pipelines, industry instrumentation standards (OTEL) and tools (e.g., Splunk) and dependency management tools (e.g., uv)
Familiarity with agile development and test-driven development
Understanding of data structures, data modeling and software architecture
Familiarity with enterprise authentication/authorization protocols (OAuth, OIDC, Okta, or similar SSO platforms).
Effective verbal and written communication skills (with team members, the business, and in code).
WHAT YOU’LL WORK ON
We seek passionate Software Engineers to join our team. As a Software Engineer, you will be designing and delivering robust, scalable AI/ML solutions that accelerate insights at enterprise scale. You should have experience in Python and nice to have some familiarity with front end technologies and building user-facing applications; a strong background in algorithms and data structures; hands-on AWS experience; as well as familiarity in database technology (e.g. Postgres, Redis).
As a Software Engineer, you will:
Design, develop, and maintain scalable AI services powering Nike’s data platforms.
Build SDKs, APIs, and microservices to support enterprise-wide applications.
Develop agentic workflows and AI/LLM-powered enterprise applications.
Build user-facing applications and internal tools using modern UI frameworks (e.g., React, Streamlit) to surface AI/ML capabilities to end users.
Collaborate with product managers and cross-functional engineering teams to deliver impactful solutions.
Implement best practices in software development, data governance, and platform observability.
Participate in code reviews, provide constructive feedback as well as incorporate feedback given.
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
