Description

Key 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:
• Bachelors or Masters 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

Key Skills

Education

Any Graduate