Senior Search Engineer – OpenSearch

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🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📈 SEO Marketing

👻 Ghost score 10%

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DXS - Direct Expansion Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

DXS - Direct Expansion Solutions is a company that specializes in Variable Refrigerant Volume/Flow (VRV/VRF) air-source heat pumps and complementary technology and controls designed to reduce building energy use and emissions. They provide comprehensive solutions including system design, supply, commissioning, and service with a focus on inverter-based heat pumps and ventilation and indoor air quality systems. With offices across the United States and Canada, DXS offers expert knowledge in the application of air-source heat pump technology in various markets such as healthcare, residential, government, and military, aiming to decrease operating expenses and emissions through strategic electrification. They serve a range of clients, including engineers, architects, building owners, and contractors.

📋 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