Job Description
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.
