Senior Software Engineer - Coveo Search
Agilent Technologies1 hour ago
Tokyo, JapanSenior
Responsibilities
- Design, build, configure, and support Coveo integrations across search interfaces, query pipelines, sources, indexes, APIs, permissions, analytics, and experience-layer components.
- Integrate Coveo search, filtering, recommendations, and generated-answer capabilities into Agilent.com and Community experiences.
- Implement and tune merchandising rules, boost/bury logic, redirects, facets, ranking expressions, synonyms, thesaurus rules, and business-driven search controls.
- Support eCommerce search use cases including product discovery, catalog search, recommendations, category pages, guided search, and search-to-cart journeys.
- Support content discovery across documents, technical documentation, knowledge articles, community content, blogs, wikis, media, and entitled content.
- Analyze Coveo and Snowflake-connected analytics to identify content gaps, zero-result queries, click-through trends, query-suggestion adoption, and relevancy opportunities.
- Configure and improve Coveo models including Query Suggestions, Automatic Relevance Tuning, Dynamic Navigation, Semantic Encoder, Relevance Generative Answering, and recommendation models.
- Design and support AWS-based ETL and data pipelines for extracting, transforming, enriching, and pushing structured and unstructured data into Coveo indexing pipelines.
- Collaborate with engineering, product, content, analytics, data, platform, merchandising, and business stakeholders to improve search relevance and customer outcomes.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, information systems, data engineering, or equivalent practical experience.
- At least 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 sources, indexes, query pipelines, search APIs, usage analytics, permissions, machine learning models, and administration.
- Experience integrating Coveo 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, merchandising, product ranking, boost/bury rules, redirects, synonyms, recommendations, catalog search, product attributes, and category pages.
- Experience supporting content search across structured and unstructured sources.
- Ability to analyze Coveo usage analytics and Snowflake-connected datasets to identify search quality issues, content gaps, poor-performing queries, click behavior, and optimization opportunities.
- Experience configuring and improving Coveo AI/ML models and recommendation models.
- Strong knowledge of data ingestion, indexing, metadata mapping, normalization, enrichment, permissions, incremental updates, delta processing, and content freshness patterns.
- 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.
- Programming skills in JavaScript, TypeScript, Python, Java, or similar languages used for search integrations, APIs, pipeline processing, automation, and data transformation.
- Understanding of SDLC, CI/CD, automated validation, observability, production support, and release management for enterprise digital platforms.
- Strong problem-solving, analytical, communication, collaboration, and stakeholder-management skills.
- Experience using generative AI and analytics-assisted approaches to improve search relevance, content discoverability, answer quality, and customer self-service outcomes.
- Preferred qualifications include agentic development techniques, deep Coveo experience across commerce and content search, Snowflake or enterprise data platform integrations, AWS search-ingestion pipelines, and large-scale B2B eCommerce, community, support, documentation, or self-service experience.
Benefits
- Hybrid work model; work arrangements may evolve based on future business needs.
- Full-time weekly schedule with occasional travel and day shift.
- No end date is specified for the role.
- Pay and benefit information varies by country and is available through Agilent’s careers locations page.
- Agilent is an equal opportunity employer.
Tech Stack
Categories
BackendData Engineering