Software Engineer II, ITC
- Company: Nike
- Location: Karnataka, India
- Work mode: On-site
- Job type: Full-Time
- Posted: 2026-10-05
WHO YOU’LL WORK WITH
At Nike, we leverage the power of data and technology to serve athletes* around the world. The APEX 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 a skilled software engineer with a passion for building and maintaining data platforms. You thrive in a collaborative environment and have a proven track record of delivering reliable software.
* 3+ years of experience in software development, with a strong foundation in distributed systems and data platforms.
* Deep expertise with cloud platforms like AWS, Azure, or GCP.
* Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.
* Proficiency in programming languages such as Python, JavaScript, Java, Go, or C++.
* Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
* Proven ability to deliver high-impact, API-first services at scale.
* Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
* A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
* Strong problem-solving and analytical thinking skills.
* Excellent communication and collaboration skills.
WHAT YOU’LL WORK ON
* Design, develop, and maintain scalable data platforms and services.
* Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.
* Write clean, maintainable, and well-tested code.
* Implement best practices in software development, data governance, and platform observability.
* Collaborate with senior engineers and other team members to design and implement data solutions.
* Ensure data quality and reliability through testing and validation.
* Development of agentic and AI/LLM powered enterprise applications
* Participate in code reviews and contribute to team knowledge sharing.
* Assist in troubleshooting and resolving production issues.