> Markdown version of [/jobs/ext/4034074-search-software-engineer](https://www.wearedevelopers.com/jobs/ext/4034074-search-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Search Software Engineer - **Company:** Aasritha Infotech Inc - **Location:** United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Apache Lucene, Codecs, Databases, Data Normalization, Query Languages, Software Debugging, Elasticsearch, Gradle, JSON, Apache Maven, Regression Testing, Apache Solr, SQLite, Extensible Markup Language (XML), Scripting, Large Language Models, Claude Code, Indexer, AI Coding Agents, Semi-structured Data, Build Tools, Search Engines, Codebase, Virtual Agents, Text Analysis, Restful APIs, OpenSearch - **Published:** October 30, 2026 - **Apply:** https://www.dice.com/job-detail/2981f960-9d69-453b-ba67-4b705eeada26 ## About the Role Amazon Web Services (AWS) 7 to 10 years Large Language Models (LLMs) 7 to 10 years Apache Lucene 10+ years OpenSearch 10+ years Java (Programming Language) 7 to 10 years Required Skills: Search & Indexing Fundamentals · Hands-on experience with Lucene-based search platforms (Solr, OpenSearch, or Elasticsearch) · Understanding of index schemas/mappings: field types, stored vs. indexed, doc values, multi-valued fields · Familiarity with text analysis pipelines: tokenizers, filters, analyzers (index-time vs. query-time) · Ability to inspect an index directly - querying fields, checking term vectors, using analysis APIs Data & Transformation · Ability to trace raw source data through an ingestion pipeline into indexed fields · Comfort reading structured/semi-structured data formats (XML, JSON) · Understanding of data normalization and transformation patterns Query & Testing · Skill in crafting targeted test queries to expose behavioral difference · Experience with structured or Boolean query languages (experience with custom parsers a plus) · Ability to design and execute parity/regression test cases at multiple levels: index content, query results, ranking, facets, highlighting Development · Java proficiency - able to read, debug, and make targeted changes to Java codebases · Familiarity with Maven or Gradle build systems AI-Assisted Analysis & Development: · Proficiency using AI coding assistants (e.g. Claude Code) to investigate complex problems, generate hypotheses, and draft code changes · Ability to formulate precise, context-rich prompts that produce actionable results from an AI assistant · Comfort working in an AI-augmented development workflow: reading and critically evaluating AI-generated output before applying it Analysis & Communication: · Ability to identify root cause of parity differences and attribute them to a specific layer (ingestion, schema, analyzer, query parser) · Able to produce clear, actionable defect reports for developers Preferred skills: · Experience with custom Lucene analyzers or codec plugins · Python scripting (data inspection, test automation, reporting) · Familiarity with OpenSearch REST API and index management · Experience with SQLite or other lightweight databases for test result storage · Search engine certifications (Elastic, OpenSearch) · Experience with parallel/comparative testing frameworks · Background in a domain with complex structured data (legal, scientific, patent, medical) Education Level: Bachelors' Degree