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Workato Logo Workato · IT - Software Development

Senior Software Engineer (Search / Retrieval)

United States, Palo Alto · Job Posted February 18, 2026
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Job Description

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world.

Job Responsibility

  • Lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core
  • Build end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition
  • Lead the development of advanced our search cluster that can scale to millions of documents across customers and data sources
  • Deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback
  • Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval
  • Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing
  • Drive improvements in query construction, indexing and search performance
  • Be up-to-date with the latest improvements in search and indexing technologies
  • Collaborate with product and applied research teams to translate user needs into data-informed search innovations
  • Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack

Requirements

  • Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field
  • 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields
  • Strong proficiency in Python
  • Hands-on experience with search engines (Opensearch or Elasticsearch)
  • Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)
  • Experience with text processing, NLP, and relevance tuning
  • Experience with relevance evaluation metrics (NDCG, MRR, MAP)
  • Experience with large-scale distributed systems
  • Strong analytical and problem-solving skills
  • Strong communication abilities to explain technical concepts
  • Collaborative mindset for cross-functional team work
  • Detail-oriented with strong focus on quality
  • Self-motivated and able to work independently
  • Passion for solving complex search problems
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