Google Retail Search Engineer

Experience: 3–6 years

Role Type: Retail Search / Integration Engineer

Role Overview

We are looking for a Google Retail Search Engineer to implement and integrate Google Retail Search parallel A/B testing initiative against Elastic Search. The role focuses heavily on product feed ingestion, Google schema mapping, taxonomy/attribute transformation, search API integration, query routing, response transformation, testing and UAT.

Key Responsibilities
Implement Google Retail Search for the parallel A/B platform.
Analyze existing product, pricing, inventory, taxonomy and attribute data.
Map existing product/feed schema to Google Retail Search schema.
Preserve identifiers, pricing, inventory and business-critical attributes.
Build feed-generation and transformation processes.
Extend ingestion pipelines to Google, including batch/full and near-real-time updates where required.
Integrate Google APIs with Java/microservice applications.
Contribute to query routing between Google and Elastic.
Transform Google responses into the existing API/UI format without changing the contract.
Implement search, filters, facets and autocomplete capabilities.
Develop data, functional, integration and regression tests.




Support A/B comparison, discrepancy analysis, UAT and business acceptance.
Troubleshoot feed, mapping, API and search issues.
Document mappings, transformations, APIs and test scenarios.

Required Skills
3–6 years software/data/search engineering experience.
Google Cloud experience; Google Retail Search preferred.
Solid Java and/or Python.
REST APIs and JSON.
Data transformation and ingestion pipelines.
Robust product/catalog, schema, taxonomy and attribute-mapping knowledge.
Search API integration and troubleshooting.
Ability to work across data, application and search layers.

Positive to Have
Retail/e-commerce experience.
Large product catalog / SKU-based search experience.
Cloud, Docker, Kubernetes and CI/CD knowledge.
Streaming or near-real-time data pipelines.
Semantic/vector search experience.
Generative AI, AI Agents / Agentic AI or AI-assisted engineering experience.
Experience using AI/agents for test automation, data mapping, search evaluation, troubleshooting or engineering productivity.
BigQuery, Pub/Sub, Dataflow, Cloud Storage or Cloud Run.
Elastic Search experience.

📌 Cloud Engineer/ Elastic Search Cloud Bengaluru
🏢 Ascendion Engineering
📍 Bengaluru