Software Engineer

Nike•Beaverton, OR

1d•Remote

About The Position

This Software Engineer role involves developing, coding/configuring, and testing programs/systems to solve problems and meet digital product specifications. The position focuses on creating robust advanced analytics and machine learning solutions that directly impact the business. Key responsibilities include designing and building scalable software solutions, making critical technical design choices, implementing and integrating new technologies, and managing and evolving existing platforms. The engineer will design and implement scalable applications leveraging prediction models and optimization programs to deliver data-driven decisions. They will assess problems, lead technical solution development aligned with architectural standards, participate in peer code reviews, and contribute to core advanced analytics and machine learning platforms. The role also involves solving machine learning problems at scale and developing consumer data-focused products that meet global security, reliability, and performance expectations, all while collaborating with cross-functional teams.

Requirements

Bachelor’s degree in Information Technology, Computer Science
5 years of post-baccalaureate experience in the job offered or an engineer-related occupation
Software Development
Testing methodologies
Domain Driven Design
Scrum and Agile Practices
AWS Cloud Integrations or similar platform
Open-Source products like Kafka, NIFI
Implementation experience with middleware integration solutions like Oracle Fusion
Programming skills in languages like Java, Python, and Node.JS
Container Technologies
DevOps Practices (Infrastructure, CI/CD, and Version control)
Microservices Architecture and Development

Responsibilities

Develop, code/configure, test programs/systems and solutions problems in order to meet defined digital product specifications and direction
Develop robust advanced analytics and machine learning solutions that have a direct impact on the business
Help design and build scalable software solutions
Make critical technical design choices
Implement and integrate new technologies
Manage and evolve existing platforms
Design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact
Assess a well-defined problem and lead the development of a technical solution that meets the needs of the business and aligns with architectural standards
Participate in peer code reviews
Contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development
Solve machine learning problems at scale
Develop products focused primarily on consumer data that meets global expectations of security, reliability, and performance
Collaborate with cross-functional teams to deliver impactful outcomes