Elastic Search Engineer

Job highlights
Identified by Google from the original job post
Qualifications
Over 3 years of ElasticSearch development experience including implementation
Strong development skills in Python
Expertise with ELK stack components
Experience with API development and working with APIs in production (FastAPI)
Knowledge of Embeddings and Vector Databases
Ability to work with Machine Learning professionals, understanding database architecture and design
ElasticSearch certification
Experience with languages such as C#, TypeScript, and MySQL
Experience with Java
Experience with Kotlin
Benefits
3+ month contract
Responsibilities
The Elastic Search Engineer will be responsible for transitioning search technologies Algolia to Elastic Cloud, designing and implementing the ELK stack, and improving search relevance through various keyword search techniques
Key tasks include developing APIs for integrating custom Machine Learning models, optimizing indexes, implementation, workflow, and configuration
Must agree to daily meetings on Greenwich Mean Time Zone
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, NodeLogix, is seeking the following. Apply via Dice today!

Elastic Search Engineer

US Remote

Immediate Start

3+ month contract

only independent candidates

Job Description: Elastic Search Engineer

The Elastic Search Engineer will be responsible for transitioning search technologies Algolia to Elastic Cloud, designing and implementing the ELK stack, and improving search relevance through various keyword search techniques. Key tasks include developing APIs for integrating custom Machine Learning models, optimizing indexes, implementation, workflow, and configuration. Must agree to daily meetings on Greenwich Mean Time Zone.

Requirements

Over 3 years of ElasticSearch development experience including implementation.

Strong development skills in Python

Expertise with ELK stack components

Experience with API development and working with APIs in production (FastAPI)

Knowledge of Embeddings and Vector Databases.

Ability to work with Machine Learning professionals, understanding database architecture and design.

Bonus

ElasticSearch certification

Experience with languages such as C#, TypeScript, and MySQL

Experience with Java

Experience with Kotlin