Backend Search Engineer - Remote / Telecommute

• 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.

• 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.