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, or 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 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 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 of 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, and retiree medical access.