Staff Engineer

About the Role

Key Responsibilities

• Analyze and enhance search relevance algorithms to ensure accurate and relevant search results for users.
• Implement and manage search query optimization strategies to optimize search results based on user behavior and business objectives.
• Oversee the configuration and performance of search engines, ensuring they meet the evolving needs of the eCommerce platform.
• Leverage AI and machine learning technologies to develop and implement advanced search functionalities, including personalized search results and predictive search capabilities.
• Work closely with product owner, data scientists, and software engineers to define and implement search-related features and improvements.
• Monitor search performance metrics and user feedback to identify areas for enhancement and implement data-driven solutions.
• Maintain clear documentation of search algorithms, tuning strategies, and system configurations for internal teams.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• At least 8 years of hands-on experience in search relevance, Search Query Optimization, and software engineering for eCommerce websites.
• Proven experience with at least one major search engine, preferably Elasticsearch or other Lucene-based search engines such as Solr or OpenSearch.
• Experience in lexical search using algorithms like BM25 and semantic search.
• Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
• Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Nice to Have

• Deep understanding of search relevance tuning, search query optimization, ranking, tokenization, stemming, and query parsing.
• Experience building or integrating RAG-based architectures for LLM-assisted search use cases.
• Experience with MLOps practices and tools.
• Proven experience in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Recent experience in Java, Kotlin, Spring, Spring Boot.
• Experience with Microservices, CI/CD, Event Oriented Architectures, and Distributed Systems.
• Experience with cloud environments such as Google Cloud Platform, Azure, or AWS.
• Familiarity with DevOps practices, Agile/Scrum methodologies, CI/CD pipelines, and product development lifecycle.
• Strong background in SQL and NoSQL databases.
• Familiarity with modern web APIs and full stack frameworks.
• Experience with tools like Google Analytics, BigQuery, Cassandra, Docker, Kubernetes, Kafka, in-memory caching, Pandas, NumPy, Spark.

Qualifications

• Educational background with a Bachelor's degree in a relevant field.

Benefits & Perks

• Support for a hybrid flexible work schedule, promoting 2-3 days in the office.