Senior Search Engineer

About the Role

Key Responsibilities

• Develop and implement advanced search solutions by leading the development and optimization of search algorithms and systems utilizing technologies such as Elastic, OpenSearch, and Solr.
• Fine-tune search relevance by applying machine learning techniques, including classification and ranking models, to significantly improve search result relevance.
• Integrate with modern architectures by leveraging experience with Kubernetes, Elastic, Solr, OpenSearch, and Kafka to build scalable and resilient search infrastructure.
• Explore and implement cutting-edge technologies such as Agentic Solutions, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enhance search capabilities.
• Analyze search data through in-depth analysis of search queries, user behavior, and performance metrics to identify areas for improvement and inform optimization strategies.
• Collaborate with cross-functional teams including product managers, engineers, and business stakeholders to understand search requirements, develop solutions, and deliver impactful results.
• Develop and evaluate analytical models using algorithms and predictive models to investigate search-related problems, detect patterns, and recommend data-driven solutions.
• Utilize programming skills in Python, Kotlin, and/or Java to explore, examine, and interpret large volumes of search data.
• Communicate complex technical concepts and implications effectively to both technical and non-technical audiences.

Requirements

• 5+ years of relevant experience in search engineering, information retrieval, or related field.
• 3+ years of experience programming using Python or Java/Kotlin.
• 3+ years of experience with Elastic, OpenSearch, Solr, or other open-source search engines.
• 3+ years of experience with SQL and/or NoSQL databases.
• Strong knowledge of algorithms, predictive models, and data analysis techniques.
• Experience with distributed systems, Kubernetes, and building scalable search infrastructure.
• Proficiency in analyzing large datasets from multiple sources.
• Excellent communication skills to convey technical concepts to diverse audiences.

Nice to Have

• Demonstrated ability to communicate technical concepts effectively to business partners.
• Proactive problem anticipation and prevention skills.
• Experience with advanced analytics tools and languages for large dataset analysis.
• Knowledge of search-specific applications of machine learning, statistical analysis, and predictive modeling.
• Experience with search technologies and distributed systems.

Qualifications

• Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience).

Benefits & Perks

• Competitive pay range: $92,700.00 - $222,480.00, depending on experience and other factors.
• Eligibility for bonuses, commissions, or short-term incentives.
• Comprehensive benefits including medical plans, 401(k) with matching, employee stock purchase plan.
• No-cost wellness programs, tobacco cessation, weight management, confidential counseling, and financial coaching.
• Flexible work schedules, paid time off, family leave, dependent care resources, tuition assistance, retiree medical access, and more.