WHO YOU’LL WORK WITH
You will be a part of the larger Global Technology organization working on Nike’s internal Consumer Product & Innovation tools, part of our Design Engineering team and report to the team’s Engineering Director. You will spend much of your time with Software Engineers in Design Engineering and adjacent teams. You will also partner closely with other Principal Engineers, Solution Architects, Engineering Directors, and Product Managers in both Product Innovation and other departments.
WHO WE ARE LOOKING FOR
We’re looking for a Principal 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’LL WORK ON
If this is you, you’ll be working on the Product Innovation team and be one of the primary technical leaders on one of Nike’s emerging technology platforms. In a typical week, half of your time will be spent leading by example to design, develop, operate, and integrate Nike and partner platforms and applications. The other half will be leadership responsibilities to drive technical priorities, define engineering best practices, collaborate with peers, and help to translate business problems into technical solutions.
Excellent computer science fundamentals, including algorithms and data structures
14+ years of software engineering experience as an individual contributor developing custom software
5+ years hands-on experience implementing and supporting modern software architectural principles and patterns (REST, domain-driven design, Devops, microservices, etc)
5+ years hands on experience with distributed cloud systems (node.js, EC2, Lambda, DynamoDB, Elasticsearch, or Google Cloud/Azure equivalents)
Experience with front-end web application technologies (javascript, CSS, html5, Vue, React/redux, etc.)
Experience with implementing and integrating AI, Machine Learning and related data solutions preferred.
Continuous deployment and automated testing experience
Excellent influencing, verbal and written communication skills
Demonstrated ability to build and maintain relationships with multiple peers and cross-functional partners
Experience working in a technical leadership role with agile teams in a product model
Experience developing, monitoring, and supporting highly available microservices/lambdas and applications
Bachelor’s degree in Computer Science or Engineering, or equivalent experience
Ability to pass a seven year background investigation
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