Coveo Architect in Philadelphia, PA (Remote) _Contract Only

EATEAM; Philadelphia (Philadelphia County); Remote; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Coveo Architect to lead the design and implementation of advanced search solutions. This remote role requires a strategic thinker with extensive experience in search technologies, particularly Coveo. You will architect scalable search platforms, optimize performance, and enhance user experience across multiple data sources. If you are passionate about search technology and ready to make a significant impact, this opportunity is perfect for you. Join a forward-thinking company that values innovation and collaboration, and help shape the future of search solutions!

Qualifications

• 15+ years of experience in software engineering or architecture.
• 5-10+ years designing and building search solutions at scale.

Responsibilities

• Implement enterprise-level search strategy with multiple sources.
• Lead Coveo Search Projects with end-to-end implementation.
• Collaborate with teams to integrate AI/ML capabilities.

Skills

Coveo search technology

SOLR

Elastic Search

Java

Python

Node.js

SEO principles

RESTful APIs

Data modeling

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor's degree in Computer Science or related field

Master's degree in relevant field

Tools

Coveo Usage Analytics

Coveo Machine Learning

Kubernetes

Docker

Job description

I, Salman Shaikh would like to share a job opportunity as Coveo Architect based in Philadelphia, PA (Remote) location for a W2 / Fulltime position.

• In case, if you are not comfortable with this location, please share your preference with contact details for further requirements

Kindly find the JD below and let me know if you are available for the same.

Coveo Architect

Location : Philadelphia, PA (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)
• 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.).

Please reply me with your updated resume and required details :