Search Engineer (Elasticsearch with Java/Python)

Job Description

You will collaborate closely with cross-functional teams including software engineers, data scientists, and product managers to understand requirements and implement effective, scalable search solutions.

• Job Title: Software Engineer/Sr. Software Engineer - Search
• Job Location: Noida
• Experience Required: 2-5 Years
• Education: B.Tech, M.Tech, MCA

Responsibilities:

• Design and develop search systems: Create and maintain scalable search infrastructure, including indexing, querying, and ranking algorithms, to handle large volumes of data efficiently.
• Improve search relevancy: Analyze user behavior, feedback, and search logs to identify patterns and optimize search algorithms for better relevancy and accuracy of search results.
• Implement search features: Collaborate with product managers and UX designers to understand user needs and implement new search features, such as autocomplete, faceted search, and personalized recommendations.
• Enhance search performance: Optimize search algorithms, indexing strategies, and caching mechanisms to improve search response time and overall system performance.
• Integrate search functionality: Integrate search capabilities into various applications and platforms, ensuring seamless integration with existing systems and APIs.
• Conduct data analysis: Analyze large datasets to identify trends, patterns, and anomalies, and leverage this knowledge to improve search relevance and user experience.
• Monitor and maintain search systems: Monitor search infrastructure and performance metrics, identify and resolve issues proactively, and ensure high availability and reliability of search services.
• Stay updated with industry trends: Keep abreast of the latest advancements in search technologies, natural language processing, machine learning, and information retrieval techniques, and evaluate their potential impact on search systems.
• Collaborate with cross-functional teams: Work closely with software engineers, data scientists, and product managers to understand requirements, implement search solutions, and address customer needs.
• Documentation and knowledge sharing: Document search system architectures, algorithms, and best practices, and share knowledge with the team through technical documentation, presentations, and training sessions.

Requirements:

• Strong programming skills in languages such as Java, Python and familiarity with search-related technologies (e.g., Elasticsearch, Solr, Lucene).
• Solid understanding of information retrieval concepts, search algorithms, and relevance ranking methods.
• Experience with search system design and optimization, including indexing, querying, and caching strategies.
• Proficiency in data analysis, including the ability to work with large datasets, extract insights, and make data-driven decisions.
• Familiarity with natural language processing (NLP) techniques, machine learning algorithms, and statistical modeling for search relevance improvement.
• Knowledge of search engine evaluation methodologies and metrics, such as precision, recall, and click-through rates.
• Strong problem-solving and analytical thinking abilities, with attention to detail and a focus on delivering high-quality search solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong self-motivation and a passion for keeping up with the latest advancements in search technologies and related fields.