SOLR / Elastic Search:
Location- New York City – Hybrid
Duration: Long Term
Inviting applications for the role of Principal Consultant, Search Platform Engineer – Solr / Lucidworks / Elasticsearch
In this role, you will be responsible for coding and delivering high quality deliverables and should be willing to learn about new technologies.
Responsibilities
· Design, develop, and implement enterprise search solutions using Fusion and SOLR.
· Tune search relevancy and query pipelines to ensure fast and accurate search results.
· Create automated processes for bulk and real-time indexing of large datasets from various sources like databases, Hadoop, and flat files into Solr.
· Design, create, and manage Solr clusters, including shards and collections.
· Identify, research, and resolve complex issues related to Solr, Fusion, and related technologies.
· Work with DevOps/SRE/IT teams to troubleshoot logging issues and build observability into CI/CD pipelines.
Qualifications we seek in you!
Minimum Qualifications
· BE/B Tech/MCA
· Excellent written and verbal communication skills.
· Experience in Finance Domain
Preferred Qualifications/ Skills
· Search Platform administration experience needed in Apache Solr/Lucidworks Fusion platforms.
· Lead Apache Solr administration across non-prod and prod environments.
· Operate SolrCloud (ZooKeeper, shards, replicas, leader election).
· Perform deep Solr JVM tuning (heap/off-heap, threads, caches).
· Resolve search performance issues (CPU, latency, throughput, memory leaks).
· Optimize high-volume Solr indexing (commit strategies, merge policies).
· Enforce Solr security and HA (TLS, RBAC, audits, zero-downtime upgrades).
· Install, configure, and support Lucidworks Fusion (on-prem/cloud).
· Manage custom Fusion JARs, patches, and vendor-led upgrades.
· Build and tune Fusion ingestion/query pipelines
· Troubleshoot Fusion/Spark and connector failures.
· Design and run Elasticsearch clusters for PoCs and production.
· Tune Elasticsearch mappings, shards, JVM, and query DSL.
· Secure Elasticsearch using TLS and role-based access control.
· Implement observability and alerting (Prometheus, Grafana, Elastic).
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