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 the relevance of search results.
• 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 by performing in-depth analysis of search queries, user behavior, and search 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 strong knowledge of 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 experience with Elastic, OpenSearch, Solr, or other open source search engines.
• 3+ years of experience with SQL and/or NoSQL databases.

Nice to Have

• Demonstrated strong ability to communicate technical concepts and implications to business partners.
• Proactive in anticipating and preventing problems and roadblocks.
• Strong knowledge of advanced analytics tools and languages for analyzing large datasets from multiple sources.
• Proficiency in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling, with a focus on search-specific applications.
• Experience with and a strong understanding of Search Technologies and Distributed Systems.
• Experience with Kubernetes for deploying and managing search infrastructure.
• Master's Degree or PhD.

Qualifications

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

Benefits & Perks

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs including wellness screenings, tobacco cessation, weight management, confidential counseling, and financial coaching.
• Benefit solutions addressing diverse needs such as paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access, and more depending on eligibility.