Senior Search Architect (SOLR / Elasticsearch) in NYC, NY

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).