About the job
CI&T brings together human expertise and artificial intelligence to create scalable technology solutions. With a team of over 8,000 professionals and a three-decade track record, the company partners with organizations worldwide to drive technological transformation. Artificial Intelligence is central to CI&T's work.
Location requirement: Candidates living in the Metropolitan Region of Campinas must attend the CI&T office in Campinas, following the company's attendance policy.
Role overview
The Search & Relevance Specialist will focus on validating and designing advanced search solutions at scale. This position involves close collaboration with product, technology, and business leaders to define and maintain the architecture of the search platform. The goal is to deliver solutions that are scalable, secure, observable, and high-performing, with a strong emphasis on relevance and quality of results.
Main responsibilities
- Design, validate, and improve complex search solutions using technologies such as Elasticsearch or OpenSearch.
- Translate business needs into functional, non-functional, and search relevance requirements during product discovery.
- Apply best practices in software engineering and architecture across all parts of the search platform.
- Serve as a technical reference for development teams, offering support, mentorship, and technical guidance.
- Work with development, operations, product, and data teams to integrate search with other systems and user experiences.
- Identify technical and relevance risks, including performance, availability, and quality of results, and propose mitigation strategies.
- Stay current on trends and innovations in search and relevance, evaluating new approaches, tools, and techniques.
- Conduct technical reviews of search solutions to ensure alignment with architectural guidelines, quality standards, and business goals.
- Participate in meetings with stakeholders to understand search needs, propose solutions, and support data-driven decisions.
- Help develop technical skills within teams by sharing knowledge about search, relevance, metrics, and best practices.
Requirements
- Hands-on experience as a solutions architect or systems designer, working on the design, development, and evolution of search solutions for complex and large-scale scenarios, using Elasticsearch or similar technologies (OpenSearch, Solr, Lucene).
- Strong knowledge of index modeling, text analysis, relevance, and ranking. This includes configuring analyzers, tokenizers, filters, boosters, security filters, and facets/aggregations.
