Senior Software Engineer - Coveo Search

About this role

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Skills you'll use

What you'll do

• We are seeking a highly skilled and experienced Senior Software Engineer - Coveo Search to help design, build, integrate, and optimize Agilent’s Coveo-powered search experiences across Agilent.com, Community, eCommerce, content discovery, and connected digital experiences. In this role, you will own the technical implementation of Coveo integrations, query pipelines, analytics-driven relevancy improvements, merchandising rules, AI/ML models, and data ingestion pipelines that power customer discovery, self-service, and conversion. You will partner closely with experience, content, commerce, data, analytics, and platform teams to ensure Coveo delivers highly relevant, permission-aware, measurable, and scalable search experiences across products, documents, communities, recommendations, and support journeys.
• This role currently follows a hybrid work model. Work arrangements may evolve based on future business needs.

Who can apply

• Bachelor’s or master’s degree in computer science, Engineering, Information Systems, Data Engineering, or equivalent practical experience.
• 6+ years of relevant software engineering experience with search platforms, digital commerce platforms, content platforms, data integrations, or enterprise web applications.
• Hands-on experience with Coveo platform capabilities including sources, indexes, query pipelines, search APIs, usage analytics, permissions, machine learning models, and administration.
• Strong understanding of Coveo integrations with front-end experience layers, including headless/API-based search implementations, search boxes, result templates, facets, filters, analytics events, and user context.
• Experience with eCommerce search and merchandising concepts including product ranking, boost/bury rules, redirects, synonyms, recommendations, catalog search, product attributes, category pages, and conversion-focused tuning.
• Experience supporting content search across structured and unstructured sources such as documents, knowledge articles, application notes, community posts, blogs, wikis, media, product content, and entitled content.
• Ability to analyze Coveo usage analytics and Snowflake-connected analytics datasets to identify search quality issues, content gaps, poor performing queries, click behavior, and optimization opportunities.
• Experience configuring, evaluating, and improving Coveo AI/ML models such as Query Suggestions, Automatic Relevance Tuning, Dynamic Navigation, Semantic Encoder, Relevance Generative Answering, and recommendation models.
• Strong knowledge of data ingestion, indexing, metadata mapping, normalization, enrichment, permissions, incremental updates, delta processing, and content freshness patterns for search platforms.
• Experience with AWS-based ETL and data engineering patterns using services such as S3, Glue, Lambda, Step Functions, EventBridge, APIs, databases, and scheduled or event-driven pipelines.

About Agilent

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