Senior Backend Engineer, Search

📋 Description

• Design, build, and scale robust backend search solutions capable of supporting a rapidly growing
• Optimize search relevance, accuracy, query performance, and response times to deliver fast and
• Improve real-time indexing and ingestion pipelines so that search results remain accurate and up to
• Develop measurement frameworks, quality metrics, and evaluation processes to assess and
• Build and enhance vector search and semantic search capabilities using modern embedding-based
• Optimize query parsing, indexing strategies, relevance tuning, and search-serving infrastructure.

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
• 5+ years of professional experience as a search engineer or in a closely related backend
• Strong hands-on production experience with OpenSearch or Elasticsearch; experience with Solr is
• Demonstrated experience building and operating high-scale, real-time data ingestion and
• Proven ability to optimize query parsing, indexing, relevance tuning, and search performance.
• Experience developing methods and metrics for measuring and improving search quality.

🎁 Benefits

• Fully remote opportunity within the United States.
• Senior-level opportunity with significant ownership over core search infrastructure and technology.
• Opportunity to work on high-scale backend systems at the intersection of search, AI, and
• Direct influence on search quality, platform performance, and next-generation AI-powered user
• Collaborative environment with close partnership across backend engineering, AI, and product teams.
• Opportunity to work with modern search technologies including OpenSearch, real-time indexing