NIKE, Inc. Takımına Katılın

NIKE, Inc. dünyanın en iyi sporcularını giydirmekten çok daha fazlasını yapar. Potansiyellerin keşfedildiği, sınırların aşıldığı ve mümkün olanın sınırlarının zorlandığı bir yerdir. Şirket büyüme, düşünme, hayal etme ve yaratma konusunda potansiyeli olan insanların peşindedir. Kültürü çeşitliliği kucaklayarak ve hayal gücünü ödüllendirerek yükselir. Marka başarılı, lider ve vizyoner bireyleri arar. NIKE, Inc.ta herkes zorlu ve sürekli değişen bir oyuna becerilerini ve tutkusunu taşır.

Who You’ll Work With

At Nike, our mission is to leverage the power of advanced data and innovative technology to inspire and serve athletes* worldwide. You will be part of the Data & AI (DAI) team, a dynamic group at the heart of digital transformation. This team designs, builds, and maintains scalable, intelligent, and secure platforms that drive critical decision-making, personalized consumer experiences, and operational excellence throughout the global Nike ecosystem. Collaboration is key—expect to interact with talented engineers, data scientists, product managers, and global stakeholders who share a passion for excellence and innovation.

Who We Are Looking For

We are searching for a visionary and accomplished Principal Software Engineer to join our Tech Center in India. You are not only an expert in software architecture and engineering, AIML framework, but also a strategic thinker who can see the long-term impact of technology decisions. Your experience allows you to guide teams through ambiguity, set clear technical standards, and shape the future of Nike’s data-driven platforms. You thrive in a fast-paced environment where cross-functional collaboration, creativity, and agility are essential. You have a demonstrated history of successfully leading engineering teams, delivering innovative solutions, and driving organizational change at scale.

Skillsets and Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering,

Information Technology, or a related field.

• 12+ years of progressive experience in software engineering, with at least 5 years in a senior leadership or principal engineer capacity.

• Extensive expertise in building, deploying, and scaling sophisticated data platforms, distributed systems, and cloud-native architectures (preferably with AWS, Azure, or GCP).

• Advanced proficiency in one or more programming languages: Python, Java, Scala, Go, or C++.

• Comprehensive knowledge of data engineering, data analytics, machine learning

infrastructure, and big data technologies (e.g., Apache Spark, Kafka, Hadoop,

Databricks).

• Strong track record with modern DevOps methodologies, automation, CI/CD

pipelines, and infrastructure as code (IaC).

• A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications.

• Exceptional communication, leadership, and stakeholder management skills, with the ability to influence and inspire at all levels of the organization.

• Experience driving and managing complex, high-impact technology projects in a fast-paced, agile environment.

• Deep understanding of security and compliance best practices in large-scale

enterprise environments.

• Demonstrated commitment to fostering diversity and inclusion in engineering teams.

What You Will Work On

• Lead the architectural vision, technical design, and implementation of complex,

large-scale data and AI platforms, ensuring they are robust, secure, and highly

performant.

• Champion best practices in software development, data engineering, and cloud

infrastructure, setting high standards for code quality, reliability, and maintainability across multiple engineering teams.

• Mentor and coach senior engineers, fostering a culture of technical excellence,

intellectual curiosity, and continuous growth. Provide thought leadership to enable

teams to solve challenging engineering problems.

• Collaborate extensively with global product and business stakeholders to translate strategic goals into actionable technology roadmaps, align engineering efforts with business priorities, and deliver exceptional value to Nike’s customers and partners.

• Drive adoption of modern engineering methodologies, including automation,

continuous integration and delivery (CI/CD), DevOps practices, test-driven

development, and agile frameworks to accelerate innovation and delivery.

• Evaluate, recommend, and integrate emerging technologies, frameworks, and tools to strengthen Nike’s technology ecosystem and maintain our position as an industry leader.

• Oversee the end-to-end lifecycle of critical projects, from requirements gathering

and solution design, to implementation, monitoring, and optimization.

• Ensure all platforms and services meet stringent security, privacy, and compliance standards, proactively identifying and mitigating risks.

• Represent the Tech Center in India as a senior technical ambassador, collaborating with global teams, sharing expertise, and contributing to Nike’s worldwide

engineering community.

*If you are passionate about transforming the future of sport and technology and want to make a meaningful impact on athletes around the globe, we invite you to join our team and help shape Nike’s data-powered journey.

Ayrıntılar

İŞE ALIMLA İLGİLİ EYLEM PLANIMIZ

01 Başvuru

Farklı arka planlardan gelen üyelerimiz ekibe çeşitli alanlarda beceri, bilgi ve bakış açısı kazandırır. İş tanımlarını, departmanları ve ekipleri gözden geçirerek sana en uygun pozisyonu bulmanı istiyoruz.

02 İşe Alım Uzmanıyla Görüşme veya Değerlendirmeden Geçme

Kurumsal bir pozisyona seçilirsen bir işe alım uzmanı mülakat için seninle iletişime geçer. Bu kişi, süreç boyunca iletişime geçmen gereken ilk kişidir. Retail rolleri için bir görüşmeden ve farklı testlerden oluşan etkileşimli bir değerlendirmeden geçersin. Bu değerlendirme yaklaşık 10-20 dakika sürer. Başvurduğun pozisyondan bağımsız olarak, bu süreçte seni daha iyi tanımak istiyoruz. Bu nedenle, nasıl birinci sınıf hizmet sunacağını ve seni benzersiz kılan özelliklerini çekinmeden bize anlatmanı bekliyoruz.

03 Mülakat

Mülakata hazırlıklı gelmelisin. Bu aşamada araştırma yapmanı, beklentilerimizi anlamanı ve arka planın da dahil olmak üzere senin hakkında daha fazla bilgi edinmek için sorabileceğimiz sorulara hazır olmanı bekliyoruz.

Açık havada gülümseyen ve kucaklaşan iki kişi