Platform Engineer with ElasticSearch & Fusion

NYC, NY, US • Posted 12 hours ago • Updated 4 hours ago
Contract W2
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Platform Administration
  • Platform Engineer
  • Access Control
  • Auditing
  • Authentication
  • Bash
  • Caching
  • Capacity Management
  • Collaboration
  • Content Management Systems
  • Customization
  • Data Analysis
  • Data Engineering
  • Data Flow
  • Docker
  • Elasticsearch
  • Encryption
  • Enterprise Search
  • Fusion
  • High Availability
  • Information Retrieval
  • Interfaces
  • Kubernetes
  • Lifecycle Management
  • Management
  • Network
  • Optimization
  • Orchestration
  • Privacy
  • Python
  • RBAC
  • Regulatory Compliance
  • Replication
  • Scalability
  • Scripting
  • Search Engineering
  • Search Engines

Summary

Job Summary

  • We are seeking a skilled Platform Engineer with expertise in Elasticsearch and Lucidworks Fusion to design, deploy, optimize, and maintain our enterprise search and data analytics platforms.
  • The ideal candidate will have a strong background in search engine architectures, data ingestion, and content management systems, ensuring our search solutions are scalable, reliable, and performant to support business-critical applications.

Key Responsibilities:

Lucidworks Fusion Administration & Customization

  • Deploy and administer Lucidworks Fusion instances across various environments.
  • Develop, configure, and maintain search pipelines, connectors, and indexing jobs.
  • Create custom search interfaces, connectors, and components to meet enterprise
    requirements.
  • Optimize Fusion search performance through tuning and caching strategies.
  • Manage user access, permissions, and authentication integrations.
  • Implement security best practices, privacy policies, and compliance standards.

Elasticsearch Administration & Optimization:

  • Deploy, configure, and maintain Elasticsearch clusters, ensuring high availability, scalability, and performance.
  • Develop and enforce best practices for data indexing, sharding, replication, and data lifecycle management.
  • Monitor cluster health, perform capacity planning, and optimize search and query performance.
  • Manage Elasticsearch security features, including role-based access control (RBAC), encryption, and audit logging.
  • Troubleshoot and resolve cluster issues, including node failures, data corruption, or network partitions.

Data Ingestion & Integration:

  • Design data pipelines and connectors to ingest data from various sources into Elasticsearch and Lucidworks.
  • Collaborate with Data Engineering and Application teams to support data flow and indexing processes.
  • Ensure data consistency, accuracy, and timeliness in search indexes.

Qualifications & Experience:

  • Minimum of 7 years experience working with Elasticsearch and Lucidworks Fusion.
  • Hands-on experience with deploying, scaling, and tuning Elasticsearch clusters.
  • Proven experience with Fusion platform administration, customization, and
    development.
  • Strong understanding of search engine architecture, information retrieval, and relevance
    tuning.
  • Proficiency with scripting languages such as Bash, Python, or similar.
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly
    desirable
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: 91097274
  • Position Id: 8905526
  • Posted 12 hours ago
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