Job Description

We are looking for an experienced

Search Developer

skilled in

Java

and

Apache SOLR

to design, develop, and maintain high-performance, scalable search solutions for enterprise or consumer-facing applications. The ideal candidate will work closely with cross-functional teams to optimize search relevance, speed, and reliability while handling large, complex datasets.

Responsibilities

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.

Requirements

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.

Nice to have

Preferred Skills

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.

We offer

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

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.