Backend Engineer (Search Relavnace)

• Search Relevance Optimization: Analyze and enhance search relevance algorithms to ensure accurate and relevant search results for users.

• Search Query Optimization: Implement and manage search query optimization strategies to optimize search results based on user behavior and business objectives.

• Search Engine Management: Oversee the configuration and performance of search engines, ensuring they meet the evolving needs of the eCommerce platform.

• AI/ML Integration: Leverage AI and machine learning technologies to develop and implement advanced search functionalities, including personalized search results and predictive search capabilities.

• Collaboration: Work closely with product owner, data scientists, and software engineers to define and implement search-related features and improvements.

• Performance Monitoring: Monitor search performance metrics and user feedback to identify areas for enhancement and implement data-driven solutions.

• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.

• Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

• Documentation: Maintain clear documentation of search algorithms, tuning strategies, and system configurations for internal teams.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.

Mandatory Skills:

• 8+ years of hands-on in search relevance, Search Query Optimization and software engineering experience for eCommerce websites

• Proven experience with at least one major search engine preferably Elasticsearch( or any Lucene based search engine such as Solr or OpenSearch)

• Experience in Lexical search using algorithms like BM25, Semantic Search **

• Deep understanding of {}search relevance tuning{}, {}search query optimization{}, {}ranking{}, {}tokenization{}, {}stemming{}, and query parsing

• Experience building or integrating RAG-based architectures for LLM-assisted search use cases.

• Experience with MLOps practices and tools.

• Proven experience in Python and experience with ML frameworks like {}TensorFlow, PyTorch, or Scikit-learn{}.

• Recent experience in Java, Kotlin, Spring, Spring Boot is a plus

• Mentor and guide engineers across the team, promoting a culture of engineering excellence and experimentation.

• Ability to provide solutions based on business requirements.

• Ability to collaborate with cross-functional teams.

• Ability to work with global teams and a flexible work schedule.

• Must have excellent problem-solving skills and be customer centric.

• Excellent communication skills.

Preferred Skills:

• Experience with Microservices, CI/CD, Event Oriented Architectures and Distributed Systems

• Experience with cloud environments (e.g., Google Cloud Platform, Azure, Amazon Web Services)

• Experience leading product-oriented engineering development teams is a plus

• Familiarity with DevOps practices/principles, Agile/Scrum methodologies, CI/CD pipelines and the product development lifecycle

• Strong background in SQL and NoSQL databases

• Familiarity with modern web APIs and full stack frameworks is a plus.

• Experience with Java, Google Analytics, Big Query, Cassandra, Docker, Kubernetes, Kafka, in memory caching are a plus

• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, Spark) is a plus.

MatchPoint Solutions + Maryland Heights, MO + $70.00-75.00 per hour MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like … + 11 hours ago, © 2026 Careerjet All rights reserved