Senior Java Search Engineer (m/f/nb)

We're seeking for a motivated Search Engineer to spearhead the development and optimization of our high-traffic eCommerce platform's search capabilities. In this pivotal role, you'll blend deep technical acumen with a strategic mindset, leading a talented team to enhance search relevance, performance, and user satisfaction. You'll be instrumental in pushing the boundaries of search technology, driving best practices, and mentoring engineers to achieve technical excellence.

• Architect & Innovate Search: Lead the design and implementation of next-generation search solutions, leveraging Elasticsearch and cutting-edge ML technologies to deliver highly relevant and intuitive search experiences.
• Drive Search Excellence: Optimize search engine ranking and relevance using a deep understanding of search algorithms, tracking data, and user behavior.
• Technically Lead & Mentor: Provide strong technical guidance and mentorship to a team of engineers, fostering growth, conducting insightful code reviews, and championing best practices in a collaborative environment.
• Leverage Machine Learning: Apply advanced ML techniques (e.g., XGBoost, sentence transformers, LLMs) to continuously improve search quality, personalization, and discovery.
• Measure & Refine: Establish and utilize robust metrics (NDCG, F1, CTR) for online and offline evaluation of search quality, driving iterative improvements based on data.
• Collaborate & Communicate: Partner closely with product owners, data scientists, and other engineering teams to translate business requirements into technical solutions, and clearly present complex ideas to diverse stakeholders.

• In-depth knowledge of Java, Spring Boot, and Python.
• Strong understanding of building search solutions using Elasticsearch (preferred) or similar technologies .
• Strong understanding of Search Engine Ranking and search optimization utilizing tracking data and analytics.
• Proficient in using ML technologies to improve search, including but not limited to XGBoost, sentence transformers, Large Language Models (LLMs), and vector embeddings.
• Experience with Natural Language Processing (NLP) techniques relevant to search (e.g., entity recognition, query understanding, semantic search).
• Experience with working on high-traffic eCommerce platforms or SaaS solutions, understanding the unique challenges of performance, scalability, and reliability in a production environment.
• Can-Do mentality: You approach challenges with enthusiasm, resilience, and a commitment to finding solutions, viewing every obstacle as an opportunity for growth.

We will jump into a first screening call to find out if it fits for both side. Then we will give you a technical task to solve which you will discuss with the team.