Position- Coveo Architect
Location- Remote
Job Description- 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 Google Cloud Platform) and container orchestration (Kubernetes, Docker).
- Familiarity with AI/ML models in search contexts (BERT, transformers, LLMs, etc.).
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