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Senior Search Engineer

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Aquila Technology

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Location:
United States , Lexington

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

Aquila Technology is seeking a Senior Search Engineer to join our team in supporting one of the country’s premier defense research organizations. We are seeking an experienced Senior Search Engineer to join our team and lead the design, development, and optimization of our search infrastructure. The ideal candidate will augment our existing search team, bring significant outside expertise, and help us significantly improve our existing search offering. They will have deep expertise in Apache Solar and semantic search technologies, with a proven track record of building and scaling high-performance search solutions using vector embeddings, hybrid search approaches, and modern similarity matching techniques.

Job Responsibility:

  • Design, implement, and maintain enterprise-scale search solutions using Apache Solr
  • Develop and optimize semantic search capabilities using vector embeddings and neural search models
  • Build custom indexers and indexing pipelines that support vector embeddings alongside traditional text fields
  • Implement and tune Approximate Nearest Neighbor (ANN) algorithms for efficient similarity search at scale
  • Design and optimize similarity functions (cosine, dot product, Euclidean) for various search use cases
  • Build hybrid search systems that combine traditional keyword-based search with vector-based semantic search
  • Perform traditional relevancy engineering including query analysis, field weighting, boosting strategies, and result tuning
  • Conduct relevancy analysis using quantitative metrics and qualitative evaluation methods
  • Monitor search performance metrics and implement continuous improvements
  • Work cross-functionally with product, engineering, and data teams to define search requirements

Requirements:

  • Degree Level: Bachelor's Degree
  • Clearance Level: Currently holds a Secret Clearance (OR a higher clearance)
  • 5 years – Data Analysis
  • 5 years – R, Python, SQL, and Machine Language Algorithms and Data Analysis
  • 5 years – Quantitative relevancy analysis and tuning
  • 5 years – Vector embeddings semantic search
  • 5 years – C/C++, Java, Python, Bash, SQL, Java Script / HTML / CSS, Matlab
  • 5 years – Apache Solar and creating data pipelines for search products
  • 5+ years of hands-on experience with Apache Solr or Lucene in production environments
  • Strong expertise in traditional relevancy engineering including query parsing, field boosting, function queries, and relevance tuning
  • Proven experience conducting relevancy analysis using both automated metrics and manual evaluation techniques
  • Strong expertise in vector embeddings and their application to semantic search
  • Proven experience building hybrid search systems that combine keyword and vector-based approaches
  • Knowledge of search relevance metrics (NDCG, MRR, precision/recall)
  • Excellent problem-solving and analytical skills
  • Strong communication skills and ability to work in collaborative environments

Nice to have:

  • Data/Reporting
  • Databases and Data Engineering for Big Data
  • Elasticsearch
  • Statistical Methods
What we offer:
  • PTO – 15 days (vacation/sick) 10 paid holidays – 6 standard (New Year's, Memorial Day, Independence Day, Labor Day, Thanksgiving, and Christmas) – 4 floating holidays
  • 1.5 paid days, or 12 hours, for approved volunteer work
  • 1 week of paid maternity/paternity LOA after 1 year of Full-time employment
  • Tuition & Training Reimbursement– 5K annually for pre-approved courses
  • 401K with Fidelity – eligible after 90 days, company match
  • Cell Phone & Internet Reimbursed up to $150 monthly
  • Buy Your Own Device (BYOD) – up to $1,500 every three years

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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