Description

You will manage and optimize search engine infrastructure and distributed search solutions.

Responsibilities

• Design, develop, and test Solr search engines in collaboration with cross-functional teams.
• Develop and maintain advanced query rewriting functionality.
• Write automated unit test cases for the Solr search engine.
• Manage Solr clusters, including performance tuning and indexing large volumes of data.
• Maintain and design applications on AWS using microservices architectures.

Required Skills

• 5 to 10 years of experience with Apache Solr and Lucene.
• 3 to 4 years of proven experience designing and developing search solutions.
• Proficiency in Java, including JVM tuning and debugging.
• Experience with AWS infrastructure management and optimization.
• Strong knowledge of Python for automation and tooling.
• Hands-on experience with Kubernetes and Docker for scaling and monitoring.
• Solid understanding of search algorithms, data structures, and relevance models.
• Experience with SQL and various database technologies.
• Working knowledge of Linux for debugging and performance tuning.
• Experience with CI/CD DevOps tools such as Jenkins or GitHub Actions.
• Experience working within Agile methodologies.

Preferred Skills

• Familiarity with Azure cloud technologies.
• Apache Solr relevant certifications.

Key Skills

Education

Any Graduate