Senior Search Engineer – OpenSearch

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and develop search functionalities for the OMS+ platform.

• Design index mappings, analyzers, and sharding strategies tailored for extensive, high-cardinality enterprise catalogs.

• Construct and manage indexing pipelines that are synchronized with SAP source systems, including mechanisms for both full reindexing and incremental updates.

• Design and optimize queries, involving query DSL, scoring and boosting, synonyms, stemming, fuzzy and typo tolerance, faceting, and aggregations.

• Contribute to the measurement of relevance and demonstrate enhancements in search quality.

• Analyze customer catalogs and refine index and query designs for client environments.

• Collaborate with implementation and solution engineering teams to address customer-specific relevance needs.

• Identify and resolve search performance issues related to costly queries, mappings, analyzers, sharding, and data modeling.

• Implement vector and hybrid search in conjunction with lexical search when semantic matching can enhance results.

• Specify platform requirements, including cluster sizing, configuration, index lifecycle policies, snapshots, and upgrades.

• Develop well-documented search APIs for the TypeScript product stack.

• Define search health and quality indicators that are surfaced by the platform.

• Work with product management on the roadmap for search priorities and with solution engineering concerning multi-tenant considerations.

• Document search architecture and decisions regarding relevance.

• Review the search-related contributions of teammates and elevate standards for query design and relevance rigor.

⛳️ Requirements

• Extensive, hands-on experience with OpenSearch or Elasticsearch, preferably with independently designed and built production search systems.

• Proficiency in query DSL, mappings, analyzers, and aggregations.

• Demonstrated success in relevance engineering with quantifiable improvements in search quality.

• Knowledge of index and cluster design, sharding, mapping design, query cost, and Lucene fundamentals.

• Strong troubleshooting skills for slow or costly queries, mapping and analyzer errors, and subpar search results.

• Experience in developing high-throughput ingestion and indexing pipelines against record-keeping systems.

• Proficient in TypeScript/JavaScript and/or Python.

• Comfortable collaborating directly with customers and delivery teams.

• Ability to partner with a distinct platform or IT team regarding requirements and diagnostics.

• Clear communication skills and documentation of decisions and trade-offs related to relevance.

• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

• Resume must be submitted in English.

• Preferred: experience with vector and semantic search, embeddings, OpenSearch k-NN, hybrid ranking, or learning-to-rank.

• Preferred: familiarity with OpenSearch Dashboards, Data Prepper, Logstash, or Kafka-based ingestion.

• Preferred: experience with SAP or ERP material master and catalog data.

• Preferred: knowledge of query understanding, entity extraction, intent classification, spell correction, or autocomplete.

• Preferred: understanding of multi-tenant search architecture and tenant data isolation.

• Preferred: experience in customer-facing implementation, delivery, or professional services.

• Preferred: experience with containers and Kubernetes.

• Preferred: contributions to OpenSearch, Lucene, or other open-source search initiatives.

🏝️ Benefits

• Full-time contractor arrangement.

• Equal employment opportunity and affirmative-action employer protections.