AWS - Software Engineer
Radyant Inc.
United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
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
+20 more
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
Job description
- 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 differences
- Experience with structured or Boolean query languages (experience with custom parsers a plus)
Requirements
- 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 OpnSearch REST API and index management
- Experience with SQLite or otheer 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)
Must have Skills:
- Amazon Web Services (AWS)
- Large Language Models (LLMs)
- Apache Lucene
- OpenSearch
- Java, Search & Indexing Fundamentals -Hands-on experience with Lucene-based search platforms (Solr,OpenSearch, or Elasticsearch
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