Job Description
Software Engineer III - Merchandising
WHO WE ARE LOOKING FOR
We’re looking for a Senior Software Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state of the art tools to our product developers and broader creation community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience.
WHAT YOU WILL WORK ON
You will be part of a team of engineers building out tooling for our Enterprise facing Consumer Product & Innovation applications that are part of Nike’s Merchandising domain. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications built with the most recent component based UI libraries like React.
WHO YOU WILL WORK WITH
You will be a part of the larger Global Technology organization working on Nike’s internal product creation tools and report to the team’s Engineering Manager. You will work day-to-day with the a team of engineers, the team’s Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.
WHAT YOU BRING
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Bachelor's degree in computer science or related field. Will accept any suitable combination of education, experience and training
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4+ years of hands-on industry software development experience.
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Hands-on experience implementing and supporting modern software architectural principles and patterns (REST, domain-driven design, microservices, etc)
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Experience building cloud based distributed systems, APIs and event driven solutions.
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Experience with front-end frameworks like React, Angular, or Vue.js.
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Experience with cloud architecture, modern DevOps, infrastructure as code, CI/CD and related tools.
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Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, s3
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Modern testing methodologies and frameworks such as Mocha, Jasmine and Jest
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Strong understanding of architectural design patterns and computer-science fundamentals
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Experience with implementing and integrating AI, Machine Learning and related data solutions preferred.
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Excellent verbal and written communication skills
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Demonstrated ability to build and maintain relationships with multiple peers and cross-functional partners
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 .
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