Nike
Manager - Software Engineering
Overview
As a Manager - Software Engineering, you will be part of the Shared Platforms Technology Engineering team within the Geographies and Marketplace Experiences (GAME) domain of the Global Technology team, that is responsible for building next generation tools and services that serve consumer driven platforms to Nike experiences and back-end teams.
About Nike
Seasoned engineering leader ready to innovate and lead in the Digital world, join Nike’s Global Technology - Geographies And Marketplace Experiences Organization. We bring together technology and process expertise to deliver the next generation of applications for Shared Platforms Services.
Requirements & Eligibility
- A minimum of 14+ years software development experience
- 2+ years of demonstrated people management experience leading medium to large enterprise teams within a product-based organization is mandatory
- Experience working in a highly collaborative, multi-discipline development team environment
- Experience working in a distributed/cloud-based environment (e.g. AWS Services, GCE, Azure etc.)
- Experience in micro service architecture, domain driven design, and RESTful Services using Java/Javascript/Node.js/Spring Boot etc., is mandatory
- Bachelor’s degree in computer science, Information Systems, or other relevant subject area, or equivalent experience
Key Responsibilities
- Lead a medium to large team of engineers delivering critical, high-impact projects aligned to Nike’s key business priorities
- Participate in requirement gathering/elicitation, end to end solution design, development and delivery of consumer service application leveraging backend cloud native micro services
- Architect Scalable Solutions: Define technical strategies and design highly scalable backend systems and microservices using Java, Spring Boot, and cloud technologies on AWS
- Technical Leadership: Guide and mentor engineering teams to deliver high-quality software solutions, advocating for best practices in coding, testing, and continuous delivery
- Performance Optimization: Continuously evaluate system performance, identify bottlenecks, and implement improvements to support large-scale inventory operations
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