Coveo Architect

S2S Soft is a Global IT Solutions and Services company with unmatched expertise spread across various Industrial Internet like IT Staff, Document Management, Software Development, Mechanical Design and Independent Software Vendors. Our clients have relied on us for providing Technology initiatives and support for their business processes in the areas of Enterprise Application Management, Custom Application Management, Business Intelligence & EAI, Infrastructure Management & Security and Quality Assurance & Testing Services.

S2S Soft understands the unique challenges faced by various industries. Through hands on experience earned from different client engagements, we enable our customers to address their challenges with tailor made solutions best suited to their present systems. With a firm eye on Return on Investments of our customer, we conceive, build and deploy solutions that are robust, scalable and yet flexible. We partner with our clients on their long-term initiatives by providing real value while demonstrating high level of professionalism and ethics metus.

Position- Coveo Architect
Location- Philadelphia, PA (Remote)

Experience Level: 15+ Years Total Industry Experience, 10+ Years in Coveo Intelligent Search Platform
Skills Required: Coveo Architecture, Coveo Expert/ Search expert

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.).