Search Software Engineer

Accenture Federal Services

. Investigate and analyze parity differences in Lucene-based search platforms .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $109,500 - $194,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing and debugging Lucene-based search platforms, with a strong focus on index schemas, data ingestion, and query performance. Proficient in Java programming and utilizing AI coding assistants to enhance problem-solving and code development.

Highest-signal resume keywords

Lucene-Based Search PlatformsJava ProficiencyIndex Schema UnderstandingAI Coding AssistantsParity And Regression Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Lucene-Based Search PlatformsJava ProficiencyIndex Schema UnderstandingStructured Query LanguagesText Analysis PipelinesData NormalizationDebuggingTest Query CraftingDefect ReportingIngestion Pipeline Tracing

Soft Skills

Critical EvaluationClear Communication

Tools & Technologies

SolrOpenSearchElasticsearchMavenGradleAI Coding Assistants

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

Index FieldsTerm VectorsAnalysis APIField QueriesXMLJSON

Tech Stack

Tools & technologies

ElasticSearchGradleJavaMaven

About the role

Key responsibilities & impact

Investigate and analyze parity differences in Lucene-based search platforms
Trace raw source data through ingestion pipelines into indexed fields
Inspect index fields, term vectors, and analysis behavior
Craft targeted queries to expose behavioral differences
Design and execute parity and regression tests for index content, query results, ranking, facets, and highlighting
Read, debug, and make targeted changes to Java codebases
Use AI coding assistants to investigate complex problems, generate hypotheses, and draft code changes
Identify root causes across ingestion, schema, analyzer, and query-parser layers
Produce clear, actionable defect reports for developers

Requirements

What you’ll need

Hands-on experience with Lucene-based search platforms such as Solr, OpenSearch, or Elasticsearch
Understanding of index schemas and mappings, including field types, stored versus indexed fields, doc values, and multi-valued fields
Familiarity with text analysis pipelines, including tokenizers, filters, and analyzers
Ability to inspect an index directly using field queries, term vectors, and the analysis API
Ability to trace raw source data through an ingestion pipeline into indexed fields
Comfort reading XML and JSON
Understanding of data normalization and transformation patterns
Skill in crafting targeted test queries
Experience with structured or Boolean query languages
Ability to design and execute parity and regression test cases covering index content, query results, ranking, facets, and highlighting
Java proficiency to read, debug, and make targeted changes to Java codebases
Familiarity with Maven or Gradle build systems
Proficiency using AI coding assistants such as Claude Code
Ability to formulate precise, context-rich prompts for AI assistants
Ability to critically evaluate AI-generated output before applying it
Ability to identify the root cause of parity differences and attribute them to ingestion, schema, analyzer, or query-parser layers
Ability to produce clear, actionable defect reports
U.S. work authorization that does not now or in the future require visa sponsorship
Public Trust clearance level

Benefits

Comp & perks

Collaborative and caring community
Hands-on experience
Certifications
Industry training
Benefits information provided via Accenture's benefits page
Reasonable accommodations for disabilities or religious observances during the recruiting process and employment
Equal employment opportunity and affirmative action employer commitment