SOLR - Search & JAVA Expert

Company Description OmniReach is a digital transformation partner specializing in commerce, cloud platforms, and AI-driven solutions for enterprises worldwide. The company focuses on composable commerce, resilient cloud infrastructure, and AI & data science to help clients build scalable, future-ready digital capabilities. OmniReach works with Fortune 500 companies and leading brands across retail, healthcare, and consumer goods, supporting mission-critical applications and contributing to significant annual revenues. With 24/7 multi-site support, the team delivers secure, reliable, and high-impact solutions that enable e-commerce businesses, digital-native organizations, and startups to grow and innovate. Core capabilities include SAP Commerce (Hybris), cloud migrations and DevOps, Gen AI and intelligent automation, data analytics, microservices, APIs, and end-to-end B2B and B2B2C eCommerce solutions.

Role Description The SOLR – Search & JAVA Expert will design, develop, and optimize search solutions using Apache Solr and Java for high-traffic, enterprise-scale digital commerce platforms. In this full-time remote role, the expert will implement search features such as relevance tuning, faceted search, autocomplete, and personalization, while ensuring performance, scalability, and reliability. Day-to-day work includes analyzing search requirements, building and maintaining Solr schemas, configuring indexes, integrating search services with microservices and APIs, and troubleshooting search-related issues. The role involves collaborating with product managers, data and cloud engineers, and front-end teams to deliver high-quality search experiences aligned with business goals. The expert will also monitor search metrics, perform keyword and usage analysis, and continuously improve search algorithms and relevance models.

Qualifications

• Strong analytical skills to interpret search performance data, user behavior, and business requirements.
• Effective communication skills to collaborate with cross-functional teams and clearly explain technical concepts.
• Research and keyword research skills to understand user intent, optimize search relevance, and inform search configurations.
• Experience with web analytics tools to measure search effectiveness, conversion impact, and user engagement.
• Expert-level proficiency in Apache Solr (schema design, indexing, querying, tuning, clustering) and Java development.
• Hands-on experience integrating search services into microservices, APIs, and cloud environments (AWS, Azure, or GCP).
• Familiarity with eCommerce platforms (preferably SAP Commerce/Hybris) and large-scale, high-availability systems.
• Knowledge of RESTful services, JSON, and related frameworks or libraries used in Java-based search applications.
• Understanding of AI/ML concepts for search relevance, recommendations, and personalization is an advantage.
• Bachelor’s or Master’s degree in Computer