Senior Backend Engineer, Search

Accountabilities:

• • Design, build, and scale robust backend search solutions capable of supporting a rapidly growing user base and high-volume workloads.
  • Optimize search relevance, accuracy, query performance, and response times to deliver fast and highly useful results.
  • Improve real-time indexing and ingestion pipelines so that search results remain accurate and up to date.
  • Develop measurement frameworks, quality metrics, and evaluation processes to assess and continuously improve search performance.
  • Build and enhance vector search and semantic search capabilities using modern embedding-based technologies.
  • Optimize query parsing, indexing strategies, relevance tuning, and search-serving infrastructure.
  • Collaborate with AI, backend engineering, and product teams to integrate search capabilities into new and existing product experiences.
  • Troubleshoot and resolve complex search infrastructure and performance issues at scale.
  • Contribute to architectural decisions that ensure search systems remain reliable, scalable, and performant under heavy workloads.

  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 engineering role.
  • Strong hands-on production experience with OpenSearch or Elasticsearch; experience with Solr is also relevant.
  • Demonstrated experience building and operating high-scale, real-time data ingestion and search-serving systems in backend environments.
  • Proven ability to optimize query parsing, indexing, relevance tuning, and search performance.
  • Experience developing methods and metrics for measuring and improving search quality.
  • Strong understanding of search ranking, relevance algorithms, and information retrieval principles.
  • Experience with vector embeddings and semantic search implementations is highly valued.
  • Backend development experience with TypeScript is a plus.
  • Experience applying machine learning or natural language processing techniques to improve search relevance is advantageous.
  • Strong problem-solving, system design, and collaboration skills, with the ability to work effectively across engineering and product teams.
  • Demonstrated AI fluency and willingness to incorporate AI tools and techniques into day-to-day engineering work.

  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 productivity technology.
  • Direct influence on search quality, platform performance, and next-generation AI-powered user experiences.
  • Collaborative environment with close partnership across backend engineering, AI, and product teams.
  • Opportunity to work with modern search technologies including OpenSearch, real-time indexing, vector search, and semantic retrieval.
  • Career growth through ownership of complex technical challenges and high-impact engineering initiatives.
  • Inclusive, equal-opportunity workplace committed to considering qualified candidates fairly.
  • Visa sponsorship for engineering and product roles may be considered based on the specific business needs of the role; sponsorship is not guaranteed.