Jobs
Required Skills
Python
Java
Scala
Go
C++
Software Architecture
Leadership
DevOps
CI/CD
Data Engineering
Machine Learning Infrastructure
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.
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About Nike
Reviews
3.7
10 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.4
Career
3.6
Management
2.8
65%
Recommend to a Friend
Pros
Great coworkers and team environment
Good benefits and competitive compensation
Fun and energetic work environment
Cons
Poor management and leadership issues
Workplace politics and competitive environment
Inconsistent company direction and frequent changes
Salary Ranges
34 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst
2 reports
$134,195
total / year
Base
$116,500
Stock
-
Bonus
-
$131,895
$136,359
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview Process
1
Phone Screen
2
HireVue Video Interview
3
Final Round
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