Coveo Architect

We are seeking a skilled Search Architect to Architect and design scalable, advanced, high-performance search platforms, in particular Cover Search tailored to customer needs.
This role requires a strategic thinker who can translate business requirements into scalable search architectures while providing technical leadership to development teams.
The ideal candidate should have a deep understanding of enterprise-level search technologies, indexing, relevance tuning, and user experience design for search interfaces.
Search Architect is required to design, implement, and optimize advanced search solutions for external and internal websites involving multiple content and data sources.
Key Skills:
Over 8-10+ years of hands-on experience in design and development of Coveo search technology or similar platforms.
Profound knowledge of search ranking models, query pipelines, and indexing strategies.
Strong working experience with search platforms searches as SOLR, Coveo, Elastic Search etc.
Experience with data modelling, indexing, and working with large-scale datasets.
Understanding of search monitoring and observability practices
Experience with search security and access control mechanisms
Ability to design for fault tolerance and disaster recovery
Proficiency in programming languages such as Java, Python and Node.js.
Solid understanding of web technologies including RESTful APIs, JSON, and XML.
Proficiently skilled in Coveo Usage Analytics (Coveo UA) for measuring and monitoring search usage data and Coveo Machine Learning (Coveo ML)
Good knowledge of Coveo modules and connectors such as Coveo Headless Library, Coveo Atomic Library, Coveo JavaScript Search Framework
Deeply Skilled in SEO principles, metadata structuring, and content optimization
Responsibilities:
Implement enterprise-level search strategy and build a unified federated website search solution with multiple sources, languages, and channels. External global search solution that will integrate with the digital publishing platform to deliver relevant and faster search experience.
Lead at least 5+ Coveo Search Projects with end-to-end implementation of Coveo search platform.
Define technical roadmap for the search platform including performance optimization, relevancy tuning, and personalization strategies
Design, Architect, Develop and maintain search solutions utilizing any of the leading search platforms such as SOLR, Coveo, Optimizely Search, Sitecore Search, Elastic Search, Algolia etc.
Design and implement search schemas, pipelines, features and indexes to improve application’s search relevance and overall user experience.
Conduct performance tuning and optimization of search queries and indexing processes.
Monitor and analyze search performance metrics and user feedback to identify areas for improvement.
Analyze search query patterns and implement strategies to enhance search relevance and results.
Collaborate with data scientists, ML engineers, and product teams to integrate AI/ML capabilities such as semantic search, NLP, vector similarity, and recommendation engines.
Provide technical support and guidance to clients and internal teams regarding search functionality and integration.
Ensure design/architecture meets internal/client recommended standards.
Required Qualifications:
15+ years of experience in software engineering, architecture, or related fields.
5–10+ years of relevant, hands-on experience designing and building search solutions at scale using search platforms such as Coveo.
Strong experience with search tuning, A/B testing, and metrics-driven relevancy improvement.
Proficiency in at least one programming language such as Java, Python, or Scala.
Experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
Familiarity with AI/ML models in search contexts (BERT, transformers, LLMs, etc.)