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The Manager of Software Engineering will lead a team focused on building internal tools for Nike's Consumer Product & Innovation, implementing modern software delivery principles, and driving collaboration within the team. Responsibilities include guiding software projects, mentoring engineers, and ensuring effective integration of cloud architecture and microservices into products.
The Senior Software Engineer will focus on cloud-native application development and platform ownership, collaborating with cross-functional teams to ensure the delivery of scalable, resilient solutions. Responsibilities include designing architecture, delivering high-quality code, participating in code reviews, and leading adoption of agile and open-source methodologies.
The Senior Engineer Vulnerability Management will automate security vulnerability assessments and improve reporting processes, collaborating with various technical teams. Responsibilities include developing automation, maintaining security tool integrations, educating teams on vulnerability management, and advancing the vulnerability management lifecycle to enhance Nike's security posture.
The Principal Software Engineer will lead technical modernization efforts, develop cloud-native applications, and work on scalable systems alongside cross-functional teams. Responsibilities include designing architecture, ensuring code quality, mentoring engineers, and driving adoption of platforms and agile practices.
The Software Engineering Manager will lead the Financial Planning & Performance Management team, focusing on developing next-generation financial planning solutions. This includes enhancing engineering practices, coaching team members, executing Agile methodologies, and collaborating with various technology partners to ensure successful delivery and reliability of tech outputs.
The Lead Software Engineer will spearhead the development and deployment of AI and ML models, ensuring scalable and efficient pipelines. Responsibilities include collaborating with teams to integrate models into existing systems, maintaining DevOps processes, mentoring engineers, and adhering to data privacy standards while staying current with AI advancements.
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