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Lead Software Engineer, ITC

Nike

Lead Software Engineer, ITC

Nike

Karnataka, India

·

On-site

·

Full-time

·

1w ago

Required Skills

Apache Spark

Apache Kafka

AWS

Azure

GCP

Terraform

AWS CloudFormation

Data Modeling

Distributed Systems

AI/LLM

Agentic Workflows

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 data platforms and services.

Skillset Required

  • 7+ years of experience in software development, with a strong foundation in 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
  • Excellent communication and stakeholder management skills.

WHAT YOU’LL WORK ON:

What You’ll Do:

  • Design, build, deploy, and own complete, scalable, and reliable data 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 of agentic and AI/LLM powered enterprise applications
  • 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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About Nike

Nike

A retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.

10,001+

Employees

Beaverton

Headquarters

$200B

Valuation

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