[Job - 28471] Search & Relevance Specialist, Brazil
WFA Digital Insight
As remote work continues to shape the digital landscape, the demand for specialists skilled in search relevance and digital architecture has never been higher. With the global search market projected to grow significantly, CI&T's Search & Relevance Specialist role stands out for its focus on scalable, high-performance solutions. Candidates should be ready to leverage their expertise in Elasticsearch, index modeling, and ranking techniques to drive relevance and quality. Before applying, consider the evolving landscape of search technology and the importance of staying updated on the latest trends and tools. With the right blend of technical skills and strategic vision, this role offers a compelling opportunity for professionals looking to make a mark in the field.
Job Description
About the Role
The Search & Relevance Specialist will play a pivotal role in validating and designing complex search solutions that drive relevance and quality. This position involves working closely with product, technology, and business leadership to define the architecture of CI&T's search platform, ensuring it is scalable, secure, observable, and of high performance. A significant part of this role will be evaluating search quality, defining metrics, and monitoring performance to continually improve the search experience.Day-to-day responsibilities will include collaborative efforts with cross-functional teams to implement and refine search solutions, staying abreast of the latest technologies and trends in search relevance, and diagnosing and prioritizing relevance problems to enhance the overall user experience. The ideal candidate will have a deep understanding of search technologies, particularly Elasticsearch, and experience in designing and executing A/B experiments to compare ranking strategies.
Given the company's commitment to innovation and customer satisfaction, the Search & Relevance Specialist must be adept at communicating technical concepts to various stakeholders, translating complex search and relevance topics into actionable insights for both technical and non-technical audiences.
What You Will Do
- Validate and design complex search solutions to ensure scalability, security, and high performance.
- Collaborate with product, technology, and business teams to define the search platform architecture.
- Evaluate search quality, defining and monitoring key metrics such as MRR, NDCG, Precision@k, Recall@k, CTR, and Conversion Rate.
- Design and execute A/B experiments and online/offline tests for comparing ranking strategies.
- Create and maintain judgment sets (golden sets) in partnership with product and business teams.
- Apply ranking and reranking techniques, including query rewriting, synonyms, stemming/lemmatization, spelling correction, autocomplete, and query suggestions.
- Rerank results based on user signals, business rules, context, and personalization.
- Utilize Learning to Rank (LTR) and behavioral features for improving relevance.
- Diagnose and prioritize relevance problems, identifying queries with low performance and opportunities for improvement.
- Master AWS resources applicability in modern and scalable architectures.
- Apply software engineering techniques and processes for versioning, testing, CI/CD, code standards, and documentation.
- Design and implement distributed applications focusing on availability, scalability, and fault tolerance.
- Implement observability and resilience practices, including logging, tracing, dashboards, and alerts.
What We Are Looking For
- Practical experience as a solutions architect and/or systems architect.
- Solid knowledge in index modeling, text analysis, relevance, and ranking.
- Experience with Elasticsearch or similar technologies like OpenSearch, Solr, Lucene.
- Ability to evaluate search quality and define relevant metrics.
- Experience in designing and executing A/B experiments.
- Practical knowledge in ranking and reranking techniques.
- Mastery of AWS and software engineering principles.
- Experience in designing and implementing distributed applications.
- Good communication and relationship skills.
Nice to Have
- Experience with Learning to Rank (LTR) and behavioral features.
- Knowledge of cloud-based distributed applications.
- Previous experience in scalable development environments with multiple teams.
- Familiarity with observability and resilience practices.
- Certification in relevant technologies like AWS or Elasticsearch.
Benefits and Perks
- Health and dental plan.
- Meal and meal allowance.
- Childcare allowance.
- Extended parental leave.
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass.
- Participation in profits and results (PLR).
- Life insurance.
- Continual learning platform (CI&T University).
- Discount club.
- Free online platform dedicated to promoting physical, mental, and well-being health.
- Gestational and parental responsibility course.
- Partnership with online course platforms.
- Language learning platform.
How to Stand Out
- Ensure you have a solid understanding of search technologies, particularly Elasticsearch, and be prepared to discuss your experience with relevance evaluation and ranking techniques.
- Develop a portfolio that showcases your ability to design and implement complex search solutions, including examples of A/B experiments and metrics analysis.
- Practice explaining technical concepts to non-technical stakeholders, as this will be a key part of the role.
- Stay updated on the latest trends and technologies in search relevance, and be ready to discuss how you stay current in your field.
- Highlight any experience with distributed applications, observability, and resilience practices, as these are critical components of the position.
- Prepare to discuss how you handle ambiguity and prioritize tasks in a fast-paced, remote work environment.
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