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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.
