Platform Engineer (Elasticsearch)

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Platform Engineer
Elastic Search
Enterprise Search
Fusion
Kubernetes
Python
Scripting
Orchestration
Data Flow
Docker
Apache Solr
Bash
Encryption
Data Analysis
Data Engineering
Elasticsearch
Lucidworks Fusion

Job Details

Job Title: Platform Engineer (Elasticsearch) Location: New York, NY Mode : Onsite/Hybrid

Note : Please look for candidates who can manage Admin side of Platform. Specially Platform Engineers who has good knowledge about the product.

The client doesn t need any SRE/ Operations /Developers but purely looking for Platform Engineers who manage configure, Authentication, Authorizations, Admin tasks, Product Expansions dynamically based on Volumes.

Either Solr / Fusion or Elasticsearch

Job summary

We are seeking a skilled Platform Engineer with expertise in Lucidworks Fusion or Elasticsearch 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 indexing strategies, ensuring reliable, scalable and performant search solutions.
Key Responsibilities:

  • Search Platform Administration.
  • Deploy configure and maintain Lucidworks Fusion or Elasticsearch instances
  • Monitor platform health, troubleshoot issues, and perform capacity planning.
  • Implement and enforce security measures including access controls, encryption, and audit logging.
  • Optimize search and query performance through tuning, caching, and pipeline configuration.

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 or 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.
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