Senior Software Engineer

Summary

Join Workato as a Search/Information Retrieval Engineer and contribute to the design, development, and optimization of search solutions that deliver exceptional user experiences. You will build next-generation search architectures, design innovative relevance signals, and create smart query understanding systems. The role requires strong software engineering skills and deep knowledge of information retrieval systems. You will also be responsible for crafting ranking models, building robust testing frameworks, and mentoring teammates. Workato offers a flexible, trust-oriented culture and a multitude of benefits.

Requirements

• Bachelor's degree or equivalent experience in Computer Science, Information Science, or related field
• 5+ years of experience developing search solutions
• Strong proficiency in Python
• Hands-on experience with search engines (Elasticsearch, Solr, or similar)
• Strong understanding of information retrieval concepts (TF-IDF, BM25, vector search)
• Expertise in SQL databases and experience with NoSQL solutions
• Experience with text processing, NLP, and relevance tuning
• Knowledge of modern neural search techniques and vector embeddings
• Familiarity 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 teamwork
• Detail-oriented with a strong focus on quality
• Self-motivated and able to work independently
• Passion for solving complex search problems

Responsibilities

• Build next-generation search architectures that maximize precision and recall
• Design innovative relevance signals that capture subtle user preferences
• Design indexing strategies that handle massive document collections efficiently
• Create smart query understanding systems that decode complex user intent
• Craft ranking models that learn from rich interaction data
• Build robust testing frameworks to measure and improve search quality
• Design clean, maintainable code that powers mission-critical search systems
• Mentor teammates on search architecture and best practices