Overview
On Site
BASED ON EXPERIENCE
Full Time
Contract - W2
Contract - Independent
Skills
SOLR
LUCIDWORKS
LUCID WORKS
ETL
BASH
PYTHON
GROOVY
Job Details
Position: Sr. Platform Engineer
Location: New York City, NY (Location: Prefer local candidates)
Duration: 12+ Months
Interview: 1 Teams interview from client + 1 Zoom Interview from Client + 1 In-Person Interview from client
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.
Location: New York City, NY (Location: Prefer local candidates)
Duration: 12+ Months
Interview: 1 Teams interview from client + 1 Zoom Interview from Client + 1 In-Person Interview from client
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.
Thanks & Regards,
Bhupender Singh
XL Impex Inc dba
Atika Technologies
5 Independence Way, Suite 300,
Princeton, NJ 08540
Direct:
LinkedIn URL:
Bhupender Singh
XL Impex Inc dba
Atika Technologies
5 Independence Way, Suite 300,
Princeton, NJ 08540
Direct:
LinkedIn URL:
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.