SOLR / Elastic Search

Boston, MA, US • Posted 30+ days ago • Updated 30+ days ago
Contract W2
Contract Corp To Corp
Contract Independent
No Travel Required
On-site
$70 - $80/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Apache Solr
  • Solr / Lucidworks / Elasticsearch
  • Design
  • develop
  • implement
  • Fusion
  • SOLR
  • Solr clusters
  • shards
  • collections
  • Solr JVM tuning
  • Solr indexing
  • Flat File
  • Grafana
  • Elasticsearch
  • Continuous Delivery
  • Capacity Management

Summary

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.

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).

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91087720
  • Position Id: 8915225
  • Posted 30+ days ago
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