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Hybrid mid-senior generic title and metro location, but Coveo niche reduces applicant density.
Strong Coveo and eCommerce search specialization creates high domain specificity, reducing cross-industry transferability.
Multiple mandatory technical requirements (6+ years, Coveo, AWS, Snowflake, eCommerce search) imply high filter strictness.
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Own technical design, build, integration, and optimization of Coveo search experiences across Agilent.com, Community, eCommerce, and other digital platforms.
Implement and tune Coveo components including query pipelines, merchandising rules, AI/ML models, data ingestion pipelines to improve customer discovery, self-service, and conversion.
Collaborate cross-functionally with experience, content, commerce, data, analytics, and platform teams to ensure scalable, permission-aware, and relevant search outcomes.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Engineering, or equivalent experience.
6+ years of software engineering experience with search platforms, digital commerce, content platforms, data integrations, or enterprise web applications.
Hands-on experience with Coveo platform capabilities including sources, indexes, query pipelines, search APIs, analytics, permissions, AI/ML models, and administration.
Experience with AWS-based ETL/data pipelines and programming in JavaScript/TypeScript, Python, Java, or similar languages for search integrations and automation.
Experienced in end-to-end Coveo implementations for both commerce and content search including pipeline design, model tuning, analytics integration, and experience-layer support.
Skilled in leveraging analytics data (Coveo and Snowflake) to identify search relevancy issues and drive continuous optimization.
Proficient with AWS tooling for reliable ETL pipelines supporting search ingestion, metadata enrichment, and permissions management in complex digital commerce and community platforms.