Cynet Systems
Job Location : New York,NY, USA
Posted on : 2025-09-15T15:05:45Z
Job Description :
Job Description
Pay Range: $65hr - $70hr
Responsibilities
- Design and implement scalable search solutions using Apache Solr.
- Develop and maintain Solr schemas, configurations, and custom analyzers.
- Optimize search performance and relevance through tuning and query rewriting.
- Integrate Solr with other systems and APIs (e.g., RESTful services).
- Monitor and troubleshoot Solr clusters and indexing pipelines.
- Collaborate with cross-functional teams including data engineers, backend developers, and product managers.
- Write unit and integration tests to ensure code quality and reliability.
- Maintain documentation for search architecture and configurations.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- 3+ years of experience with Apache Solr and search technologies (Lucene, Elasticsearch).
- Proficiency in Java and experience with JVM tuning.
- Strong understanding of indexing strategies, tokenization, and relevance tuning.
- Experience with microservices architecture and REST APIs.
- Familiarity with CI/CD tools like Jenkins, Maven, and Git.
- Excellent problem-solving and communication skills.
Preferred Skills
- Experience with cloud platforms (AWS, Azure).
- Knowledge of containerization tools (Docker, Kubernetes).
- Familiarity with Python or scripting for automation.
- Exposure to e-commerce or high-volume data environments.
- Understanding of Linux system administration and performance tuning.
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