About Quess IT Staffing: Hiring the right professionals in the IT industry can be a challenging endeavour. At Quess IT Staffing, we specialize in connecting organizations with IT talent who not only possess the skills needed but also align with the client organization's vision and goals. This commitment has helped us become one of the largest and most sought-after IT staffing companies in India. Our professional staffing solutions are strategically designed to help businesses secure highly qualified candidates, whether seasoned experts, niche specialists, or those with unique technical skills. Beyond staffing, we provide tailored IT solutions including Digital Workplace Services, Cloud & Datacentre Services, and Managed Network Services, ensuring your infrastructure is robust and operations run seamlessly. As India’s largest and a global leader in staffing and workforce solutions, Quess empowers businesses to boost productivity through deep domain expertise and a future-ready workforce powered by AI-driven digital platforms. With a strong presence across 8 countries, a workforce exceeding 460,000 professionals, and over 3,000 clients worldwide, Quess has grown from a start-up to an industry powerhouse in just 17 years, delivering transformative impact across sectors. We offer a comprehensive range of technology-driven staffing and managed outsourcing services, serving leading industries such as BFSI, Retail, Telecom, Manufacturing, IT, GCCs, BPO services, and more. Job Title: Apache Solr Developer / Search Engineer Location: All IVL Locations / Remote Experience: 4+ years Job Summary: We are looking for a skilled Apache Solr Engineer to design, implement, and maintain scalable and high-performance search solutions. The ideal candidate will have hands-on experience with Solr/SolrCloud, strong analytical skills, and the ability to work in cross-functional teams to deliver efficient search functionalities across enterprise or customer-facing applications. Key Responsibilities: Design, develop, and maintain enterprise-grade search solutions using Apache Solr and SolrCloud. Develop and optimize search indexes and schema based on use cases like product search, document search, or order/invoice search. Integrate Solr with backend systems, databases and APIs. Implement full-text search, faceted search, auto-suggestions, ranking, and relevancy tuning . Optimize search performance, indexing throughput, and query response time. Ensure data consistency and high availability using SolrCloud and Zookeeper (cluster coordination & configuration management). Monitor search system health and troubleshoot issues in production. Collaborate with product teams, data engineers, and DevOps teams for smooth delivery. Stay up to date with new features of Apache Lucene/Solr and recommend improvements. Required Skills & Qualifications: Strong experience in Apache Solr & SolrCloud Good understanding of Lucene, inverted index, analyzers, tokenizers, and search relevance tuning. Proficient in Java or Python for backend integration and development. Experience with RESTful APIs , data pipelines, and real-time indexing. Familiarity with Zookeeper, Docker, Kubernetes (for SolrCloud deployments). Knowledge of JSON, XML, and schema design in Solr. Experience with log analysis, performance tuning, and monitoring tools like Prometheus/Grafana is a plus. Exposure to e-commerce or document management search use cases is an advantage. Preferred Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or related field.
Job Title
Apache Solr