The Lucene Search Engine team designs and develops query serving and indexing components of Amazon product search stack. Our mission-critical service is built with open-source Lucene at its core.

The service is responsible for matching customer keywords to products in Amazon’s catalog, applies business rules to narrow down the selection and rank selected products using sophisticated algorithms all under a strict latency budget.

Our service is designed to support both lexical and semantic matching using state-of-the-art (SOTA) approximate near neighbor (ANN) search on learned vector representations (embeddings).

As a member of this team you will get a chance to work on improving Search engine's binning and faceting capabilities to power navigation experiences on Amazon search. You will also get a chance to contribute to interact with open source Lucene community and contribute improvements/features to Apache Lucene.

Key job responsibilities
- Improve the binning and faceting capabilities of Search Engine.
- Dive deep into search engine internals to identify opportunities for improving performance and efficiency of Search Engine.
- Collaborate with partner teams to turn feature requests into requirements and work with Senior and Principal engineers to define project roadmap.
- Own the end-to-end delivery on a medium complexity project.
- Contribute to open source Lucene and bring latest advancements in Lucene in house.
- Design and develop tooling to improve operational efficiency.
- Participate in oncall and maintain a high bar on operational excellence.