Overview
On Site
Depends on Experience
Full Time
Accepts corp to corp applications
Able to Provide Sponsorship
Skills
Platform Engineer
SOLR
Lucid Works
Fusion
Apache Solr
AWS
Azure
GCP
Docker
Python
Groovy
ETL
Job Details
Sr. Platform Engineer Solr & Lucid works Fusion
New York City, NY
Client: Banking
F2F Interview at client location
Location: Prefer local candidates only
Our challenge:
Job Summary
- We are seeking an experienced Platform Engineer specializing in Apache Solr and Lucidworks Fusion to design, deploy, optimize, and maintain our enterprise search infrastructure.
- The ideal candidate will possess deep expertise in distributed search engines, content ingestion, and custom search application development, enabling our organization to deliver scalable, high-performance search and data discovery solutions.
Key Responsibilities
- Solr & Lucidworks Fusion Administration & Management
- Deploy, configure, and manage Solr clusters, ensuring high availability, scalability, and fault tolerance.
- Install, configure, and administer Lucidworks Fusion instances across development, staging, and production environments.
- Manage core collections, shards, replicas, data ingestion pipelines, and indexing strategies.
- Tune Solr and Fusion components for optimal search relevance, latency, and throughput.
- Monitor and troubleshoot clustered search environments, resolving performance bottlenecks and cluster failures.
- Implement data security, role-based access controls, encryption, and audit logging within Solr and Fusion.
Qualifications & Experience
- At least 5+ years experience working with Apache Solr, with hands-on experience deploying and managing large-scale Solr clusters.
- Proven experience administering Lucidworks Fusion platform in enterprise environments.
- Strong understanding of search engine architectures, relevancy tuning, and data indexing concepts.
- Experience with data ingestion pipelines, connectors, and ETL processes.
- Proficiency in scripting languages such as Bash, Python, or Groovy.
- Familiarity with containerization (Docker) and orchestration platforms (Kubernetes).
- Knowledge of cloud environments (AWS, Azure, Google Cloud Platform) and managed search services is a plus.
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