Technology

Search Platform Engineer with strong ELK stack

HUMAC INC.New York, NY🇺🇸United StatesPosted Sep 21, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to deepen your expertise in search platforms like Solr and ELK, contributing to critical infrastructure at a reputable company. You'll thrive here if you're a skilled engineer eager to tackle complex challenges and drive innovation in search technology. Apply today to join a dynamic team and advance your career!

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

New York, NY, United States

Posted

1 week ago

ELKLogstashApacheGrafanaKibanaPrometheus

Job Description

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.