Cloud Engineer/ Elastic Search- Cloud

Ascendion · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:05 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 50341426

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Collected minimum qualification: Elastic Search experience.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

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.

Collected minimum qualification

Elastic Search experience.

Collected experience requirement

3-6 years