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트렌딩 기업

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채용Nike

Principal Software Engineer, ITC

Nike

Principal Software Engineer, ITC

Nike

Karnataka, India

·

On-site

·

Full-time

·

1mo ago

필수 스킬

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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Nike 소개

Nike

Nike

Public

Nike, Inc. is an American athletic footwear and apparel corporation headquartered near Beaverton, Oregon. It is the world's largest supplier of athletic shoes and apparel and a major manufacturer of sports equipment, with revenue in excess of US$46 billion in its fiscal year 2022.

10,001+

직원 수

Beaverton

본사 위치

$200B

기업 가치

리뷰

4.2

10개 리뷰

워라밸

4.3

보상

3.8

문화

4.1

커리어

3.2

경영진

4.0

82%

친구에게 추천

장점

Flexible scheduling and work environment

Great learning opportunities

Positive and supportive culture

단점

Limited career growth opportunities

Office politics

Challenging upward mobility

연봉 정보

33개 데이터

Mid/L4

Senior/L5

Mid/L4 · Information Security Engineer

1개 리포트

$177,957

총 연봉

기본급

$136,890

주식

-

보너스

-

$177,957

$177,957

면접 경험

4개 면접

난이도

3.3

/ 5

소요 기간

14-28주

합격률

25%

경험

긍정 0%

보통 75%

부정 25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical Assessment

5

Final Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit