Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?
Software Engineer- NIKE, Inc. - Beaverton, OR. Design, configure, enhance, and support enterprise legacy application systems and Product Lifecycle Management (PLM) platforms for the retail, apparel, and footwear industries. Focus on PowerBuilder based application support and modernization and FlexPLM and Centric PLM implementation and configuration to support end to end product development processes. Support PowerBuilder application migration and modernization efforts, including deployments using Appeon technologies and cloud aligned architectures; configure and support FlexPLM systems for product lifecycle management; develop and maintain custom modules, reports, workflows, data model extensions, and role based access configurations; and troubleshooting and optimizing the performance of PowerBuilder and PLM production environments. Collaborate with cross functional teams to assess technical feasibility and implement solutions aligned with business requirements. Contribute to the enablement of advanced analytics and machine learning (ML) capabilities within enterprise application environments. Support data pipelines and integrations that allow ML driven insights, such as data validation, anomaly detection, forecasting, and process optimization, to be operationalized alongside existing PLM and legacy application workflows. Collaborate with technical and analytics teams to ensure analytical outputs are effectively incorporated into production systems, reporting, and decision support processes. Telecommuting permitted 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.
Must have a Master’s degree in Computer Science, Engineering, Computer Information Systems, or Mathematics and one (1) year of experience in the job offered or in a computer-related occupation.
Position requires:
• PLM systems in retail, apparel, or footwear industries.
• FlexPLM or Centric PLM, including system configuration, workflows, and module support.
• PowerBuilder application development or support, including PowerScript and DataWindow technology.
• Enterprise system integrations, ETL processes, and relational databases.
• Appeon PowerServer or SnapDevelop.
• PLM middleware, web services, or APIs.
• CAD or 3D design integrations with PLM systems.
Contact: Apply at www.Nike.com/Careers
Apply at www.Nike.com/Careers (Job# R-86521)
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We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
