Urgent!! Apache Solr Engineer - NYC, NY (Hybrid) - FTE
• Posted 7 hours ago • Updated 2 hours agoDice Job Match Score™
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Job Details
Skills
- Apache Solr
- SolrCloud
Summary
Hi,
We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, and we currently have a few job openings that may interest you.
However, if you are not interested at this time, feel free to refer this position to someone you may know to be a fit.
Role: Apache Solr Engineer
Location: New York City, New York (Hybrid) - 3 days' work from office
Duration: FTE
JD:
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.
Ideal Candidate
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)
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Thanks.
Regards,
Ashish
Email ID:
- Dice Id: 91170994
- Position Id: 2026-457
- Posted 7 hours ago
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