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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Search Engineer - Remote / Telecommute - **Company:** CYNET SYSTEMS INC. - **Location:** St. Louis, MI, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Apache Lucene, System Configuration, Continuous Integration, DevOps, Distributed Systems, Elasticsearch, Google Analytics, Spring Framework, Python (Programming Language), Search Algorithms, NoSQL, NumPy, Performance Tuning, Scrum Methodology, Query Optimization, Tensorflow, Search Technologies, Software Engineering, Apache Solr, SQL Databases, Stemming, Systems Integration, Tokenization, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Apache Spark, Spring-boot, Backend, Kotlin, Pandas, Scikit Learn, Kubernetes, Information Technology, Cassandra, Apache Kafka, Search Engines, Machine Learning Operations, Docker, Web Api, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.dice.com/job-detail/91e20294-dae9-40a6-afce-9ba36f27a8eb ## About the Role * 8+ years of hands-on experience in search relevance, search query optimization, and software engineering for eCommerce platforms. * Proven experience with Elasticsearch or other Lucene-based search engines such as Solr or OpenSearch. * Experience with lexical search algorithms such as BM25 and semantic search technologies. * Strong understanding of search relevance tuning, ranking, tokenization, stemming, and query parsing. * Experience building or integrating RAG-based architectures for LLM-assisted search solutions. * Experience with MLOps practices and tools. * Strong Python programming experience. * Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Ability to collaborate effectively with cross-functional and global teams. * Strong analytical, problem-solving, and customer-focused mindset. * Excellent verbal and written communication skills., * Experience with Java, Kotlin, Spring, and Spring Boot. * Experience with Microservices, CI/CD, Event-Oriented Architectures, and Distributed Systems. * Experience with cloud platforms such as Google Cloud Platform, Microsoft Azure, or Amazon Web Services. * Familiarity with DevOps principles, Agile/Scrum methodologies, and product development lifecycle processes. * Experience leading product-oriented engineering development teams. * Familiarity with modern web APIs and full-stack frameworks. * Experience with Java, Google Analytics, BigQuery, Cassandra, Docker, Kubernetes, Kafka, and in-memory caching technologies. * Familiarity with data analysis and manipulation libraries such as Pandas, NumPy, and Spark. Skills: * Search relevance optimization. * Search query optimization. * AI and machine learning integration. * Elasticsearch, Solr, and OpenSearch. * Python programming. * TensorFlow, PyTorch, and Scikit-learn. * SQL and NoSQL databases. * Microservices and distributed systems. * Cloud computing platforms. * CI/CD and DevOps practices. Qualification And Education: * Bachelor s degree in Computer Science, Engineering, Data Science, or a related quantitative field. ## Description * The Backend Senior Search Engineer will be responsible for optimizing search relevance, enhancing search engine performance, and implementing advanced AI/ML-powered search capabilities for eCommerce platforms. * The role involves collaborating with cross-functional teams to improve search functionality, scalability, and user experience while maintaining high standards of engineering excellence., * Analyze and enhance search relevance algorithms to improve search accuracy and user experience. * Implement and manage search query optimization strategies aligned with user behavior and business objectives. * Oversee search engine configuration, tuning, and performance optimization. * Develop and implement AI and machine learning-based search functionalities including personalized and predictive search. * Collaborate with product owners, data scientists, and software engineers to implement search-related enhancements. * Monitor search performance metrics and user feedback to identify optimization opportunities. * Maintain documentation for search algorithms, tuning strategies, and system configurations. * Mentor and guide engineering teams while promoting innovation and engineering best practices. * Provide technical solutions aligned with business requirements. ## Related Videos - [Vectorize all the things! 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