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. Learn how Workato helps businesses of all sizes achieve more at workato.com.
Ultimately, 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.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
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
We are looking for an exceptional Search/Information Retrieval Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of search solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of information retrieval systems.
In this role, you will also be responsible to:
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.
Bachelor's degree or equivalent experience in Computer Science, Information Science, or related field
3+ 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
Experience with Search Engine such as Elasticsearch, Solr, or similar
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.