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:

We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable software platforms and services.

Skillset Required

• 7+ years of experience in software development, with a strong foundation in object oriented development, distributed systems, cloud-native architectures, and data platforms.
• Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.
• Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.
• Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
• Strong understanding of advanced data modeling techniques and modern data warehouses.
• Ability to design scalable, fault-tolerant, and maintainable distributed systems.
• A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications.
• Experience with UI/UX design principles and tools such as Figma or Adobe.
• NIKE, Inc.

Job Description Template:

• Knowledge of security best practices and experience implementing security measures in software development.
• Strong collaboration and teamwork skills, with the ability to work effectively in a cross-functional team.
• Excellent communication and stakeholder management skills.

WHAT YOU’LL WORK ON:

What You’ll Do:

• Design, build, deploy, and own complete, scalable, and reliable software platforms and solutions.
• Lead the technical design of new data pipelines, services, and systems.
• Build reusable frameworks, libraries, and data management tools to improve productivity.
• Optimize performance and cost-efficiency of data workflows and compute layers.
• Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
• Lead the development and production of agentic and AI/LLM powered enterprise applications.
• Collaborate with UI/UX designers to ensure the experiences are optimized for usability and performance.
• Implement security best practices to protect data and ensure compliance with industry standards.
• Develop and maintain automated tests to ensure the quality and reliability of the software.
• Provide technical leadership and mentorship to junior engineers.
• Ensure the uptime, reliability, and monitoring of the systems you build and own.