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Search Platform Engineer

Della InfotechNew York, NY🇺🇸United StatesPosted Sep 21, 2026

Why This Role Stands Out

This on-site Search Platform Engineer role at Della Infotech offers a fantastic opportunity to deepen your expertise in Apache Solr and the ELK stack, driving critical platform performance and reliability. You'll thrive here if you're a mid-senior engineer eager to tackle complex technical challenges and contribute to a robust search infrastructure.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
23 hours ago
ELKLogstashApacheGrafanaKibanaPrometheus

Job Description


F2F - Onsite willingness in client round ! 
Role Summary

We re seeking a Search Platform Engineer with strong ELK stack expertise. 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.

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.

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.

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