Title: Lead Software Engineer

Location: Remote, OR

Duration: 6 Month Contract

 Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

 SECTION 1: WHO ARE WE LOOKING FOR

We seek passionate Lead Software Engineers to join our team. As a Lead Software Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in a product model using Scrum. As a Lead Software Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role. 

SECTION 2: WHAT WILL YOU WORK ON

If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at Nike. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. 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.

 SECTION 3: WHO WILL YOU WORK WITH

In this role, you’ll be working closely with the rest of our global team, along with Commercial and Consumer Analytics, Enterprise Architecture, and Solution Architecture.

SECTION 4: WHAT YOU BRING

• Undergraduate degree in Computer Science, or equivalent experience
• 6+ years of professional experience in software engineering, data engineering, machine learning, or related field
• Strong problem solving and analytical mindset
• Ability to write robust, maintainable, and extendable code in Python
• Expertise with cloud architecture and technologies, in particular Amazon Web Services
• Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Hive, Terraform is highly desirable
• Expertise with agile development and test driven development
• Understanding of data structures, data modeling and software architecture
• Effective communication skills (with team members, the business, and in code)

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the

location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.