Software Engineer

Nike•Beaverton, OR

1d•Remote

About The Position

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. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Requirements

Bachelor’s degree in Information Technology, Computer Science
5 years of post-baccalaureate experience in the job offered or a 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