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Search Platform Engineer with strong ELK stack

HUMAC INC.

Hybrid in New York, New York • 9d ago

Easy Apply

Contract, Third Party

Depends on Experience

Lead Research Engineer, Search & Retrieval

Thomson Reuters U.S. Inc.

New York, New York • Today

Full-time

USD 137,100.00 per year

Senior Software Engineer (Java + Solr / Elasticsearch)

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Staff Software Engineer - Search / AI

CVS Health

Remote or Rhode Island • Today

Full-time

USD 106,605.00 per year

Job Details

Skills

Access Control
Apache Solr
Apache Spark
Apache ZooKeeper
Auditing
Benchmarking
CPU
Capacity Management
Cloud Computing
Documentation
Elasticsearch
Fusion
DSL
Grafana
GC
High Availability
Management
Kibana
Query Optimization
SolrCloud
Thread
TLS
RBAC

Summary

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.

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: 10202300
Position Id: 9089980
Posted 9 days ago

Fitment

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Job Details

Skills

Access Control
Apache Solr
Apache Spark
Apache ZooKeeper
Auditing
Benchmarking
CPU
Capacity Management
Cloud Computing
Documentation
Elasticsearch
Fusion
DSL
Grafana
GC
High Availability
Management
Kibana
Query Optimization
SolrCloud
Thread
TLS
RBAC

Summary

ELK STACK Engineer.

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

Work Model: Hybrid (2 days onsite per week)
Role Summary

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.

Dice Id: 10202300
Position Id: 9089980
Posted 9 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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