Apache Solr Administrator-New York city(Onsite)

Hello,

I Hope you are doing well.

This is Surya from Humac Inc., Please check the following job description, and if you are interested, or know someone who might be interested, please share your updated resume to reach you.

Role: Apache Solr Administrator

Location: New York city(Onsite)

Role Summary

We re seeking a Search Platform Engineer with strong Apache Solr experience (primary) and ELK stack. The role focuses on Solr platform support across non-prod and prod environments and ElasticSearch PoCs, ensuring performance, reliability, and secure operations.

Key Responsibilities

Apache Solr (Primary)

• Lead Solr administration across non-prod and prod environments.
• Operate SolrCloud (ZooKeeper, shards, replicas, leader election).
• Perform deep JVM tuning (heap/off-heap, threads, caches).
• Diagnose and resolve search performance issues (CPU, latency, throughput, memory leaks).
• Optimize high-volume indexing (commit strategies, merge policies).
• Enforce security and HA (TLS, RBAC, audits, zero-downtime upgrades).

ELK Stack (Secondary)

• Design and run Elasticsearch clusters for PoCs and production.
• Tune mappings, shards, JVM, and query DSL.
• Secure Elasticsearch using TLS and role-based access control.
• Implement observability and alerting (e.g., Prometheus, Grafana, Elastic).
• Platform Operations
• Execute capacity planning, benchmarking, and RCAs for search platforms.
• Ensure documentation, runbooks, and operational best practices.

Required Skills (Must-Have)

• hands-on Apache Solr administration experience.
• Deep expertise with SolrCloud operations and JVM tuning.
• Strong troubleshooting skills for performance, indexing, and query optimization.
• Solid understanding of TLS, RBAC, HA, and zero-downtime upgrades.
• Experience supporting Lucidworks Fusion (installation, pipelines, upgrades).
• Secondary/Optional Skills (Good to Have)
• ELK stack administration: Elasticsearch (PoCs & production), Logstash/Kibana exposure.
• Observability tooling: Prometheus, Grafana, Elastic.
• Spark connectors and ingestion pipeline tuning.

Lucidworks Fusion (Preferred)

• Install, configure, and support Fusion (on-prem/cloud).
• Manage custom Fusion JARs, patches, and vendor-led upgrades.
• Build and tune ingestion and query pipelines.
• Troubleshoot Fusion/Spark and connector failures.

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Best Regards,