Cloud Engineer/ Support Engineer - Cloud

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.
• •Strong Java and/or Python.
• •REST APIs and JSON.
• •Data transformation and ingestion pipelines.
• •Strong product/catalog, schema, taxonomy and attribute-mapping knowledge.
• •Search API integration and troubleshooting.
• •Ability to work across data, application and search layers.

Good 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.

Skills: Google Cloud, Rest Apis, Data Transformation, Json, Troubleshooting, Java, Python

Experience: 3.00-6.00 Years