Senior Software Engineer (Search / Retrieval)
About the company
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.
Why join us?
Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. We offer a vibrant and dynamic work environment along with a multitude of benefits to support both professional and personal well-being.
- Business Insider named us an “enterprise startup to bet your career on”
- Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
- Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
- Quartz ranked us the #1 best company for remote workers
Responsibilities
- Lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core
- Build end-to-end retrieval pipelines incorporating advanced techniques in query understanding, ranking, and entity recognition
- Lead the development of 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
- Stay 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, 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
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