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.)