Software Engineer - ML & Data-Driven Systems (Remote)

Nike Inc; Beaverton (OR); Remote; USD 120,000 - 180,000; Full time

Job summary

Nike Inc. is seeking a skilled software engineer to develop, test, and optimize digital product solutions. The role emphasizes scalable ML systems, analytics, and cross-functional collaboration to deliver measurable business impact.

Responsibilities include coding, designing robust architectures, performing code reviews, and integrating new technologies while ensuring security, reliability, and performance across platforms.

Qualifications

• Bachelor's degree in IT or CS with 5 years of related experience.
• 5 years of post-baccalaureate experience required.
• Experience with software development, testing, and DevOps practices is expected.

Responsibilities

• Develop, code/configure, test programs and systems to meet defined digital product specifications.
• Develop robust analytics and ML solutions with direct business impact.
• Design and build scalable software leveraging prediction models and optimization programs.
• Lead development of technical solutions that meet business needs and align with architectural standards.
• Participate in peer code reviews.
• Contribute to core analytics and ML platforms to enable prediction and optimization model development.
• Solve machine learning problems at scale.
• Collaborate with cross-functional teams to deliver impactful outcomes.

Skills

Software Development

Testing methodologies

Domain Driven Design

Scrum

AWS

Kafka

NIFI

Oracle Fusion

Java

Python

Node.JS

Container Technologies

DevOps Practices

Microservices

Education

Bachelor's degree in Information Technology or Computer Science

Tools

Kafka

NIFI

Oracle Fusion

AWS

Job description

Nike Inc. is seeking a skilled software engineer to develop, test, and optimize digital product solutions. The role emphasizes scalable ML systems, analytics, and cross-functional collaboration to deliver measurable business impact.

Responsibilities include coding, designing robust architectures, performing code reviews, and integrating new technologies while ensuring security, reliability, and performance across platforms.