Lucidworks fusion Developer

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

lucidworks fusion
lucidworks

Job Details

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Job: Lucidworks Fusion Development consultant

Location: Remote from anywhere in US

Duration: 6-12 months

This is for their ecommerce initiative

Key Responsibilities

  • Develop and Maintain Solutions:

Design, develop, and maintain search functionalities within the Lucidworks Fusion platform, focusing on high-quality and scalable software solutions.

  • Data Integration:

Connect databases and other data sources to Fusion, implementing real-time indexing of large datasets.

  • Search Relevancy & Optimization:

Tune search relevancy, develop query pipelines, and optimize search performance.

  • Collaborate with Stakeholders:

Work with product managers, designers, and business analysts to understand user needs and translate them into technical requirements.

  • Code Quality:

Conduct code reviews, ensure adherence to best practices, and maintain technical documentation.

  • Troubleshooting:

Identify and resolve performance bottlenecks and bugs in the search infrastructure.

  • Deployment:

Participate in the full software development lifecycle, including testing and deployment, often utilizing CI/CD pipelines and cloud platforms like AWS.

Essential Technical Skills

  • Core Platform: Deep proficiency in Lucidworks Fusion and Apache Solr.
  • Programming Languages: Strong experience with Java, Python, or Scala.
  • Search Concepts: Solid understanding of information retrieval, relevance ranking, faceting, and query optimization.
  • Data Handling: Experience with data pipeline tools, RESTful APIs, and web services.
  • Cloud & Containerization: Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization tools (Docker, Kubernetes).
  • Experience with Lucidworks Smart Answers, App Studio, or AI-powered search use cases.

Preferred/Valuable Skills

  • Knowledge of Apache Spark, Kafka, or other big data technologies.
  • Familiarity with machine learning models and their integration into search platforms.
  • Experience with vector search and knowledge management systems

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