Skills

Analysis Skillsunmatched

Apacheunmatched

Apache Hadoopunmatched

Architectural Designunmatched

Artificial Intelligence (AI)unmatched

Benchmarkingunmatched

CPU (Central Processing Unit)unmatched

Capacity Managementunmatched

Computer Scienceunmatched

Continuous Deployment/Deliveryunmatched

Continuous Integrationunmatched

Cross-Functionalunmatched

DSL (Digital Subscriber Line)unmatched

Data Managementunmatched

Data Partitioningunmatched

DevOpsunmatched

Elasticsearchunmatched

High Availabilityunmatched

Identify Issuesunmatched

Information Technology & Information Systemsunmatched

Javaunmatched

Memory Leaksunmatched

Performance Tuning/Optimizationunmatched

Problem Solving Skillsunmatched

Production Systemsunmatched

Query Optimizationunmatched

Root Cause Analysisunmatched

SOLRunmatched

SSL-TLS (Secure Socket Layer - Transport Layer Security)unmatched

Search Engine Optimization (SEO)unmatched

Search Technologyunmatched

Security Protocolsunmatched

Software Patchesunmatched

Systems Administration/Managementunmatched

Team Playerunmatched

Willing to Travelunmatched

Description

Job Overview: We are seeking a highly skilled Apache Solr Engineer to design, implement, and maintain enterprise-grade search solutions. In this role, you will lead the administration of search platforms, optimize query performance, and build robust data indexing pipelines. You will collaborate with DevOps and SRE teams to ensure high availability, security, and observability across production and non-production environments.

Technical Skills:

Expertise in Apache Solr and Lucidworks Fusion platform administration.
Advanced knowledge of SolrCloud components, including ZooKeeper, shards, replicas, and leader election.
Proficiency in Solr JVM tuning, specifically heap/off-heap management, Garbage Collection (GC), threads, and caches.
Hands-on experience with Solr indexing optimization, including commit strategies and merge policies.
Ability to design and manage Elasticsearch clusters, including mappings, shards, and Query DSL tuning.
Skill in implementing security protocols such as TLS, RBAC, and audit logging for search platforms.
Experience building and tuning Fusion ingestion and query pipelines.
Technical capability to manage custom JARs, patches, and vendor-led upgrades.
Familiarity with observability and alerting tools such as Prometheus, Grafana, and Elastic.
Functional Skills:
Design and deployment of enterprise search solutions using Fusion and Solr.
Development of automated processes for bulk and real-time indexing from Hadoop, databases, and flat files.
Performance troubleshooting related to CPU usage, latency, throughput, and memory leaks.
Execution of capacity planning, benchmarking, and Root Cause Analysis (RCA) for search platforms.
Troubleshooting of Fusion/Spark and connector failures.
Integration of observability into CI/CD pipelines in collaboration with DevOps teams.

Behavioral Skills:

Strong analytical mindset for researching and resolving complex technical issues.
Commitment to delivering high-quality, scalable code and architectural designs.
Continuous learning mindset to stay updated on emerging AI and search technologies.
Collaborative spirit to work effectively across cross-functional IT and engineering teams.
Proactive approach to platform stability and zero-downtime upgrades.

Role Specifications & Requirements:

Education: Bachelor's Degree in Computer Science, Information Technology, or a related field.
Experience: Minimum of 5 years of professional experience in Search Platform administration.
Work Arrangement: Hybrid (3 days per week in the NYC office).
Travel: Occasional travel may be required.

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