AWS - Software Engineer

Project overview

AWS - Software Engineer

Requirements

Required Skills

Search & Indexing Fundamentals -Hands-on experience with Lucene-based search platforms (Solr,OpenSearch, or Elasticsearch

Job Facts: Contract Independent | Contract W2 | 12 Months | No Travel Required | Remote | Depends on Experience

Skills: Amazon Web Services, AWS, LLM, Apache, Lucene, OpenSearch, Java, Apache HTTP Server, Apache Lucene, Apache Maven, Apache Solr, Artificial Intelligence, Automated Testing, Codecs, Communication, Database, Debugging, Elasticsearch, Facets, Gradle, INSPECT, Inspection, JSON, Large Language Models (LLMs), Legal, Normalization, Patents, RESTful, ROOT, Regression Testing, Reporting, SQLite, Scripting, Testing, Workflow, XML

Reference: Dice Id: 91094946A | Position Id: 9129205

• Amazon Web Services (AWS)
• Large Language Models (LLMs)
• Apache Lucene
• OpenSearch
• Java

Nice to have

• 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)

Project details

Fully Remote

Multiyear Contract

Security Clearance: [USC/Citizens- Required]

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)
• 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
• Start: flexible
• Duration: 12 Months
• Remote: remote
• Location: US