Search Developer

Key Responsibilities

• Design, implement, and optimize search applications and services using Java and Apache SOLR.
• Develop and maintain SOLR schemas, configurations, indexing pipelines, and query optimization for datasets often exceeding 100 million documents.
• Build and enhance scalable RESTful APIs and microservices around search functionalities.
• Work with business analysts and stakeholders to gather search requirements and improve user experience through advanced search features such as faceting, filtering, and relevance tuning.
• Perform SOLR cluster management, including sharding, replication, scaling, and backup/recovery operations.
• Monitor application performance, troubleshoot issues, and implement fixes to ensure system stability and responsiveness.
• Integrate SOLR with relational and NoSQL databases, streaming platforms, and ETL processes.
• Participate in code reviews, adopt CI/CD processes, and contribute to architectural decisions.
• Stay updated with latest developments in SOLR, Java frameworks, and search technologies.

Required Skills & Qualifications

• Bachelor s or Master s degree in Computer Science, Engineering, or a related discipline.
• 7+ years of hands-on experience in Java development, including frameworks like Spring and Hibernate.
• 3+ years of solid experience working with Apache SOLR, including SOLRCloud, schema design, indexing, query parsing, and search tuning.
• Strong knowledge of search technologies (Lucene, Solr) and experience managing large-scale search infrastructures.
• Experience in RESTful API design and microservices architecture.
• Familiarity with SQL and NoSQL databases.
• Ability to write efficient, multi-threaded, and distributed system code.
• Strong problem-solving skills and debugging expertise.
• Experience with version control (Git), build tools (Maven/Gradle), and CI/CD pipelines (Jenkins, GitHub Actions).
• Understanding of Agile/Scrum software development methodologies.
• Excellent communication skills and ability to collaborate with cross-functional teams.

• Experience with other search platforms like Elasticsearch is a plus.
• Knowledge of cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes).
• Familiarity with streaming platforms such as Kafka.
• Exposure to analytics and machine learning for search relevance enhancement.
• Prior experience in large-scale consumer web or e-commerce search applications.

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office