What are the responsibilities and job description for the Sr.Platform Engineer- Solr and Lucid works Fusion position at Accord Technologies Inc.?
Sr. Platform Engineer – Solr & Lucid works Fusion New York City, NY (Locals needed) Duration: 12 months Interview mode : 3 rounds (inperson is mandatory for last round) Position type: W2 contractJob Summary We are seeking an experienced Platform Engineer specializing in Apache Solr and Lucidworks Fusion to design, deploy, optimize, and maintain our enterprise search infrastructure. The ideal candidate will possess deep expertise in distributed search engines, content ingestion, and custom search application development, enabling our organization to deliver scalable, high-performance search and data discovery solutions. Key Responsibilities Solr & Lucidworks Fusion Administration & Management Deploy, configure, and manage Solr clusters, ensuring high availability, scalability, and fault tolerance.Install, configure, and administer Lucidworks Fusion instances across development, staging, and production environments.Manage core collections, shards, replicas, data ingestion pipelines, and indexing strategies.Tune Solr and Fusion components for optimal search relevance, latency, and throughput.Monitor and troubleshoot clustered search environments, resolving performance bottlenecks and cluster failures.Implement data security, role-based access controls, encryption, and audit logging within Solr and Fusion.Qualifications & Experience At least 5 years experience working with Apache Solr, with hands-on experience deploying and managing large-scale Solr clusters.Proven experience administering Lucidworks Fusion platform in enterprise environments.Strong understanding of search engine architectures, relevancy tuning, and data indexing concepts.Experience with data ingestion pipelines, connectors, and ETL processes.Proficiency in scripting languages such as Bash, Python, or Groovy.Familiarity with containerization (Docker) and orchestration platforms (Kubernetes).Knowledge of cloud environments (AWS, Azure, GCP) and managed search services is a plus.