Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years.
But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us.
About the role
We are hiring a Senior Software Engineer (G6) to build and deliver intelligent, cloud-native data solutions on Google Cloud Platform (GCP) at Gap Inc. In this role, you will develop robust data pipelines and AI/ML-powered applications that enable smarter decision-making across our global retail operations. You will work hands-on with GCP-native services and modern AI frameworks, collaborate closely with cross-functional teams, and contribute to engineering best practices within GapTech's growing Hyderabad https://jobeax.com/link/eeVJoZaMJ9SbqfK9 role is ideal for engineers passionate about cloud data engineering and applied AI who want to build production-grade systems that create real business impact for iconic global brands.
What you'll do
Design, develop, and maintain GCP-based data pipelines integrating multiple business applications and data sources.
Build and deploy AI/ML models and data products using GCP AI services (Vertex AI, BigQuery ML, Gemini APIs).
Develop data transformation logic using PySpark, SQL, and Python on GCP platforms (Dataflow, Dataproc, BigQuery).
Work within a DevOps environment with CI/CD pipelines, automated deployments, and cloud-native monitoring.
Participate in code reviews, uphold coding standards, and ensure data quality and pipeline reliability.
Perform root cause analysis on data issues and implement robust, long-term solutions.
Support business stakeholders with data requirements, analytics insights, and reporting needs.
Contribute to improving automation, testing, and observability practices across the data platform.
Who you are
4–7 years of overall experience, with at least 3+ years in a Data Engineering or Cloud AI role.
Graduate degree in Computer Science, Engineering, or equivalent.
Mandatory: Hands-on expertise with GCP data and AI services:
BigQuery — data modeling, optimization, partitioning, and clustering
Vertex AI — model training, deployment, and MLOps pipelines
Cloud Dataflow / Dataproc — batch and streaming data processing
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