Job Title: Lucidworks Engineer
Company Name: Verizon
Start Date: 10/16/23
Job Duration: 12+ month contract (rolling contract) (min 2-3 years)
Location: Local to Dallas
# of Openings: 2-3
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Project Details:
Overview: elevate the search and discovery experience on Verizon.com. Collaborate with top industry experts to optimize data pipelines, implement cloud-based solutions, and enhance search performance. Use your machine learning skills to create a personalized user experience. This Lucidworks Engineer role at Verizon involves hands-on implementation of search solutions and collaboration with cross-functional teams to enhance search and discovery experiences.
Must Have(s):
Engineer Level Role 7-10 years experience -- Search Solutions Expertise:
- Experience implementing search solutions with Lucidworks Fusion/Solr, SOLR, and Lucene.
- Proficiency in engineering new data ingestion pipelines and optimizing query pipelines.
- In-depth knowledge of Lucidworks Fusion for adding new objects and system enhancement.
- Practical knowledge of search engines and recommendation systems.
- Hands-on experience with technologies like React and Spring Boot.
- Strong indexing and querying skills.
- Familiarity with solar search engine.
Cloud and Infrastructure Proficiency:
- Experience building enterprise applications on a cloud service such as AWS.
- Familiarity with AWS concepts and infrastructure.
- Ability to engineer architectural designs in Solr to improve search performance.
Data and Performance Optimization:
- Expertise in developing the fastest data search methods for large volume data.
- Proficiency in creating and applying search rules using the Rules Editor.
- Practical knowledge and application of machine learning and deep learning techniques for search and recommendation systems.
Day to Day/ Job Description:
- Implement advanced search solutions (Lucidworks Fusion/Solr, SOLR, Lucene).
- Optimize data pipelines for efficient data flow and retrieval.
- Develop cloud-based enterprise applications on AWS.
- Enhance search performance using Solr.
- Apply machine learning for recommendation systems.
- Customize user experiences with search rules (Rules Editor).
- Collaborate with the team architect on feature development.
- Lead end-to-end engineering (indexing, querying, application development).
- Utilize React, Spring Boot, and Solar search engine.
- Stay updated on industry trends and emerging tech.
- Guide and lead a team using agile methodologies.
- Translate architectural concepts into practical delivery.
- Collaborate with SOI team for personalization.
- Conduct POCs for new architectural patterns.
- Research and evaluate new technologies.
Department: Preferred Vendors
This is a contract position