Search Platform Engineer with strong ELK stack

ELK STACK Engineer.

Location: : New York, NY. Required F2F only locals

Work Model: Hybrid (2 days onsite per week)
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 Elastic Search 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.