SOLR ELK Engineer

Della Infotech Inc

New York, NY, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Elasticsearch Java Virtual Machine (JVM) Query Optimization Role-Based Access Control Logstash Prometheus Memory Leaks Apache Solr Apache Zookeeper Datadog Transport Layer Security Grafana

+7 more

Apache Spark Caching Indexer Low Latency Kibana Heap (Data Structure) Elk Stack

Job description

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., 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.

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.

Requirements

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.