Description

You will design and implement scalable, high-performance search platforms tailored to specific customer requirements.

Responsibilities

• Architect and build unified federated search solutions integrating multiple sources, languages, and channels.
• Lead end-to-end implementation of Coveo search platform projects.
• Define technical roadmaps covering performance optimization, relevancy tuning, and personalization strategies.
• Design and maintain search schemas, pipelines, features, and indexes to improve relevance and user experience.
• Conduct performance tuning for search queries and indexing processes while monitoring performance metrics.

Required Skills

• 15+ years of experience in software engineering or architecture.
• 5–10+ years of hands-on experience designing and building large-scale search solutions using Coveo.
• Proficiency in Java, Python, or Scala.
• Experience with AWS, Azure, or GCP cloud platforms.
• Hands-on experience with Kubernetes and Docker.
• Strong knowledge of A/B testing and metrics-driven relevancy improvement.
• Expertise in Coveo, including Usage Analytics (UA) and Machine Learning (ML).
• Knowledge of Coveo modules such as Headless Library, Atomic Library, and JavaScript Search Framework.
• Familiarity with AI/ML models in search contexts like BERT, transformers, and LLMs.

Preferred Skills

• Experience with SOLR, Elastic Search, Sitecore Search, or Algolia.
• Deep understanding of SEO principles, metadata structuring, and content optimization.

Key Skills

Education

Any Graduate