NEWPosted 1 hour ago
Job ID: JOB_ID_4892
Job 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.
Special Requirements
F2F in NY is a must for second client round
Compensation & Location
Salary: $110,000 – $150,000 per year (Estimated)
Location: New York City, NY
Recruiter / Company – Contact Information
Email: chetna@smartcaliber.com
Recruiter Notice:
To remove this job posting, please send an email from
chetna@smartcaliber.com with the subject:
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