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N

Software Engineer II, ITC

Nike · India

Posted
today
Experience
3+ yrs
Pay
Not stated
Role
Full-stack developer
CI/CDNode.jsGitAWSMachine LearningAgileStakeholder managementJavaScript
Apply on Nike's siteOpens the company's own careers page.

About the job

WHO YOU’LL WORK WITH You will join a team of Engineers, Product Managers, Principal Engineers, and Architects responsible for delivering modern commerce, warehouse, fulfillment, and enterprise integration solutions across the Nike’s Special Assets portfolio. The team combines deep technical expertise with business knowledge across Commerce, Supply Chain, Warehouse Operations, Finance, and Procurement to build scalable, enterprise-grade solutions that support Nike's critical business capabilities. As part of this team, you will design, build, and support cloud-native services, APIs, integrations, and commerce platforms using modern engineering practices and AI-assisted development tools. You will partner with engineering leaders and business stakeholders to establish technical direction and deliver innovative solutions that are resilient, maintainable, secure, and highly scalable. Our teams embrace Agile methodologies, practice DevOps, and leverage continuous integration and continuous delivery (CI/CD) to rapidly deliver value while maintaining operational excellence.

WHO WE ARE LOOKING FOR We are looking for a skilled Software Engineer with a passion for building scalable enterprise applications and solving complex business and operational challenges. You thrive in a collaborative environment and have a proven track record of delivering reliable software in cloud-based environments.

Skillset Required • 3+ years of experience in software development, with a strong foundation in distributed systems, cloud platforms, enterprise applications, and data-driven solutions. • Strong software engineering experience using JavaScript/TypeScript, React, Node.js, and PHP, with hands-on experience building modern commerce applications and services. • Experience with Adobe Commerce (Magento 2), including headless commerce architectures, PWA storefronts, APIs, integrations, and backend customization. • Proven experience designing and developing GraphQL and REST APIs, microservices, and event-driven architectures. • Hands-on experience with AWS cloud services, AWS RDS, Databricks, and cloud-native application development. • Experience with observability and operational support using tools such as Splunk. • Proficiency with modern engineering practices including GitHub, CI/CD, automated testing, Infrastructure as Code (Terraform/CloudFormation), and Agile/DevOps methodologies. • Strong understanding of e-commerce, inventory, warehouse, and order fulfillment domains, including integrations with ERP, OMS, WMS, CRM, PIM, payment, logistics, and financial platforms. • Familiarity with AI/ML technologies and AI-assisted development tools such as GitHub, Copilot and Cursor. • Strong problem-solving, communication, collaboration, and stakeholder management skills.

WHAT YOU’LL WORK ON • Design, develop, and maintain scalable cloud-native applications, APIs, and integrations supporting Nike's commerce, warehouse, fulfillment, and operational platforms. • Build and enhance Adobe Commerce (Magento 2) capabilities, including headless commerce solutions, storefront experiences, backend services, and enterprise integrations. • Develop solutions that connect commerce, inventory, warehouse, order management, finance, and other enterprise platforms through APIs and event-driven architectures. • Ensure platform reliability through monitoring, observability, automated testing, troubleshooting, and operational excellence practices. • Partner with architects, engineers, and product teams to design technical solutions, modernize platforms, and drive engineering best practices. • Participate in code reviews, technical design discussions, and knowledge-sharing activities. • Leverage DevOps, CI/CD, Infrastructure as Code, and AI-enabled tools to improve engineering productivity and solution delivery. • Explore and implement AI/ML capabilities that enhance customer experiences, operational efficiency, and business outcomes.

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