Lead Software Engineer, ITC

3 weeks ago

Belgaum, India NIKE Full time

WHO YOU’LL WORK WITH At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem. WHO WE ARE LOOKING FOR We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable software platforms and services. Skillset Required • 7 years of experience in software development, with a strong foundation in object oriented development, distributed systems, cloud-native architectures, and data platforms. • Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka. • Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services. • Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. • Strong understanding of advanced data modeling techniques and modern data warehouses. • Ability to design scalable, fault-tolerant, and maintainable distributed systems. • A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications. • Experience with UI/UX design principles and tools such as Figma or Adobe. NIKE, Inc. Job Description Template • Knowledge of security best practices and experience implementing security measures in software development. • Strong collaboration and teamwork skills, with the ability to work effectively in a cross-functional team. • Excellent communication and stakeholder management skills. WHAT YOU’LL WORK ON What You’ll Do • Design, build, deploy, and own complete, scalable, and reliable software platforms and solutions. • Lead the technical design of new data pipelines, services, and systems. • Build reusable frameworks, libraries, and data management tools to improve productivity. • Optimize performance and cost-efficiency of data workflows and compute layers. • Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions. • Lead the development and production of agentic and AI/LLM powered enterprise applications. • Collaborate with UI/UX designers to ensure the experiences are optimized for usability and performance. • Implement security best practices to protect data and ensure compliance with industry standards. • Develop and maintain automated tests to ensure the quality and reliability of the software. • Provide technical leadership and mentorship to junior engineers. • Ensure the uptime, reliability, and monitoring of the systems you build and own.

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