Senior Search Engineer – OpenSearch

Job Description:

• Design and build search capabilities for the OMS+ platform
• Design index mappings, analyzers, and sharding strategies for large, high-cardinality enterprise catalogs
• Build and maintain indexing pipelines synchronized with SAP source systems, including full reindex and incremental update paths
• Design and tune queries, including query DSL, scoring and boosting, synonyms, stemming, fuzzy and typo tolerance, faceting, and aggregations
• Contribute to relevance measurement and prove improvements in search quality
• Profile customer catalogs and tune index and query design for customer environments
• Work with implementation and solution engineering teams on customer-specific relevance requirements
• Diagnose and resolve search performance problems involving expensive queries, mappings, analyzers, sharding, and data modeling
• Implement vector and hybrid search alongside lexical search where semantic matching improves results
• Specify platform needs including cluster sizing, configuration, index lifecycle policies, snapshots, and upgrades
• Build documented search APIs for the TypeScript product stack
• Define search health and quality signals surfaced by the platform
• Collaborate with product management on roadmap search priorities and solution engineering on multi-tenant considerations
• Document search architecture and relevance decisions
• Review teammates' search-related work and raise standards for query design and relevance rigor

Requirements:

• Deep, hands-on OpenSearch or Elasticsearch expertise, ideally with production search designed and built independently
• Command of query DSL, mappings, analyzers, and aggregations
• Proven relevance engineering with measurable search-quality improvements
• Understanding of index and cluster design, sharding, mapping design, query cost, and Lucene fundamentals
• Strong debugging ability for slow or expensive queries, mapping and analyzer mistakes, and poor search results
• Experience building high-throughput ingestion and indexing pipelines against systems of record
• Proficiency in TypeScript/JavaScript and/or Python
• Comfort working directly with customers and delivery teams
• Ability to collaborate with a separate platform or IT team on requirements and diagnosis
• Clear communication and documentation of decisions and relevance trade-offs
• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
• Resume must be submitted in English
• Preferred: vector and semantic search, embeddings, OpenSearch k-NN, hybrid ranking, or learning-to-rank
• Preferred: OpenSearch Dashboards, Data Prepper, Logstash, or Kafka-based ingestion
• Preferred: SAP or ERP material master and catalog data experience
• Preferred: query understanding, entity extraction, intent classification, spell correction, or autocomplete
• Preferred: multi-tenant search architecture and tenant data isolation
• Preferred: customer-facing implementation, delivery, or professional services experience
• Preferred: containers and Kubernetes
• Preferred: contributions to OpenSearch, Lucene, or other open-source search projects

Benefits:

• Full-time contractor arrangement
• Equal employment opportunity and affirmative-action employer protections