Solr Apache Engineer

Job title: Solr Apache Engineer

Location: New York City, NY

Duration: Fulltime (Fulltime Day 1 onsite, Hybrid role ,3 days from office)

Candidate Details

5+ to 7 years’ experience

Seniority Level - Mid-Senior

Management Experience Required - No

Minimum Education - Bachelor's Degree

Willingness to Travel – Occasionally

5+ Years of exp , primarily skillset needed by Client is Apache Solr admin profile (Solr installation, Pipelines setup, custom jars deployment, jvm heap optimization, Solr indexing/query search optimization , platform support & stability)

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.

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).

·         Execute capacity planning, benchmarking, and RCAs for search platforms.