Lucidworks Fusion Architect

Role Overview

We are seeking a highly skilled Fusion Architect / Enterprise Search Engineer with strong experience in designing, developing, and optimizing enterprise search solutions. The ideal candidate will have hands‑on expertise in Lucidworks Fusion, Apache Solr, and/or Elasticsearch, along with a deep understanding of search architecture, relevance tuning, and large‑scale data systems.

Key Responsibilities

• Design, develop, and support enterprise search solutions using Lucidworks Fusion, Apache Solr, and Elasticsearch
• Build and optimize query pipelines, index pipelines, and search relevance models
• Perform indexing design, schema configuration, and data ingestion for structured and unstructured data
• Implement advanced search capabilities such as faceted search, filtering, sorting, autocomplete, fuzzy search, and synonym handling
• Tune search relevance and performance to improve search accuracy and user experience
• Develop and maintain custom plugins and extensions for search platforms
• Handle installation, upgrades, migrations, and cluster management of search platforms
• Integrate search solutions with external systems using APIs, microservices, and messaging systems (e.g., Kafka)
• Deploy and manage search solutions in cloud environments (AWS preferred)
• Monitor system performance, conduct health checks, and troubleshoot issues
• Collaborate with cross‑functional teams to understand business requirements and translate them into scalable search solutions

Required Skills & Experience

• 5+ years of experience in Enterprise Search development
• Strong hands‑on experience with:
  • Lucidworks Fusion
  • Apache Solr / SolrCloud
  • OR Elasticsearch (ELK Stack)
• Solid understanding of:
  • Search architecture and design
  • Indexing, query processing, and relevance tuning
• Experience working with large‑scale datasets and high‑volume search systems
• Strong programming skills in Java
• Experience with scripting languages such as Python, Scala, or Bash
• Experience with cloud platforms (AWS preferred – EC2, Beanstalk, etc.)
• Knowledge of microservices architecture and API integrations

Good to Have

• Experience with Spark or big data technologies
• Exposure to machine learning or AI‑driven search solutions
• Experience in e‑commerce or knowledge management search use cases

Key Competencies

• Strong problem‑solving and analytical skills
• Ability to design scalable and high‑performance search systems
• Excellent communication and stakeholder management skills
• Ability to work independently and in a fast‑paced environment

Education

• Bachelor’s degree in Computer Science, Engineering