WHO YOU’LL WORK WITH

At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.

WHO WE ARE LOOKING FOR

Skillset Required

• 3+ years of experience in software development, with a strong foundation in distributed systems and data platforms.

• Deep expertise with cloud platforms like AWS, Azure, or GCP.

• Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.

• Proficiency in programming languages such as Python, JavaScript, Java, Go, or C++.

• Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.

• Proven ability to deliver high-impact, API-first services at scale.

• Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.

• A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications

• Frontend Development: Proficiency in modern JavaScript frameworks (Vue.js, React, or Angular) and CSS preprocessors (SCSS/SASS). Experience with component-based architecture and responsive design principles.

• Testing & Quality Standards: Test-driven development (TDD) mindset with hands-on experience in pytest, Cypress, or equivalent frameworks. Maintains high test coverage and uses static analysis tools (linters, type checkers) to ensure code quality and maintainability.

• Git Workflow & Collaboration: Experience with Trunk-Based Development or GitFlow workflows. Comfortable with frequent integration and collaborative branching strategies.

• Agile Delivery: Proven track record working in Scrum or agile teams with iterative, pragmatic, value-driven delivery. Ships incremental working software while balancing engineering rigor with timely solutions.

• Business-centric Communication: Translates technical investigations into actionable insights for product stakeholders. Articulates the "why" behind technical recommendations in terms of user value, risk mitigation, or business impact. Produces documentation that enables team understanding without requiring follow-up spikes.

• Hands-on experience with containerization (Docker), CI/CD pipelines, and modern package managers (Poetry, npm/yarn).

• Strong experience with functional programming paradigms. Comfortable writing immutable, composable, side-effect-free code.

• Strong problem-solving and analytical thinking skills.

• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with Atomic Design principles for component organization and scalability

• Familiarity with ITCSS (Inverted Triangle CSS) architecture for maintainable stylesheet organization

• Experience with API documentation standards (OpenAPI/Swagger)

• Knowledge of enterprise authentication/authorization (OAuth, OIDC, Okta, or similar SSO platforms)

WHAT YOU’LL WORK ON

What You’ll Do

• Design, develop, and maintain scalable data platforms and services.

• Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.

• Write clean, maintainable, and well-tested code.

• Implement best practices in software development, data governance, and platform observability.

• Collaborate with senior engineers and other team members to design and implement data solutions.

• Ensure data quality and reliability through testing and validation.

• Development of agentic and AI/LLM powered enterprise applications

• Participate in code reviews and contribute to team knowledge sharing.

• Assist in troubleshooting and resolving production issues.