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 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.
• Strong knowledge of search technologies, distributed systems, and experience with Kubernetes for deploying and managing search infrastructure.
• Demonstrated ability to communicate technical concepts to business partners.
• Proactive problem-solving skills and ability to anticipate and prevent issues.
• Strong knowledge of analytics tools, machine learning, statistical analyses, and predictive modeling related to search applications.

Nice to Have

• Proficiency in mathematical analysis methods, machine learning, and statistical analyses with a focus on search-specific applications.
• Experience with and understanding of distributed systems.
• Educational background with a Master's Degree or PhD.

Qualifications

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

Benefits & Perks

• Competitive pay range of $92,700 to $222,480 annually, depending on experience and other factors.
• Eligible for bonuses, commissions, or short-term incentives.
• Affordable medical plan options, 401(k) with matching contributions, and employee stock purchase plan.
• No-cost wellness programs including screenings, tobacco cessation, weight management, counseling, and financial coaching.
• Flexible work schedules, paid time off, family leave, dependent care resources, tuition assistance, and retiree medical access.