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Tier-1 brand plus broad full-stack/cloud requirements create medium competition among senior engineering candidates.
Technical leadership, cloud, and microservices skills are transferable, yielding medium background fit sensitivity.
Multiple explicit years, leadership, AWS, and platform experience requirements make shortlisting highly stringent.
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Lead and own the design, development, and operation of scalable global web applications and production platforms (APIs, pipelines, services) supporting Nike’s product data and consumer experiences.
Set multi-quarter technical roadmaps balancing key lifecycle objectives (KLO), total cost of ownership (TCO), simplification efforts, and new investments with accountability for production reliability, security, and operational excellence.
Attract, develop, and retain engineering talent; provide technical leadership for implementing innovative solutions including GenAI-powered capabilities within a full DevOps ownership model.
Bachelor’s Degree in Computer Science or equivalent.
10-15 years of technical expertise in building microservice architectures, domain-driven design, RESTful services using Java, Node, Python or similar.
5+ years of technical leadership experience managing teams of 15+ full-stack developers including Engineering Managers and senior individual contributors.
Proven experience designing, developing, and operating highly scalable services on AWS cloud infrastructure with components like CloudFormation, EC2, ECS, RDS, Lambda, API Gateway; experience with GenAI/LLM-powered capabilities integration is a plus.
Experienced technical leader with a strong foundation in full-stack engineering and cloud-native architectures, proven ability to guide large engineering teams from SWE I through Principal levels.
Operator comfortable with setting strategic technical direction, prioritizing operational rigor (SLAs, incident response, cost management), and driving multi-quarter roadmaps in a fast-paced environment.
Demonstrated ability to work cross-functionally with product and platform teams, influence enterprise architecture, and deliver innovative AI-enabled global web-scale applications.