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, product discovery, catalog search, recommendations, category pages, guided search, and search-to-cart journeys.
- Support content discovery across documents, technical documentation, application notes, 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, generated-answer engagement, and relevance 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, normalizing, enriching, and indexing structured and unstructured data in Coveo.
- Collaborate with product, content, analytics, data engineering, platform, and business teams 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.
- 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 with front-end experience-layer and headless/API-based Coveo integrations, including search boxes, result templates, facets, filters, analytics events, and user context.
- Experience with eCommerce search and merchandising concepts such as product ranking, boost/bury rules, redirects, synonyms, recommendations, catalog search, product attributes, category pages, and conversion-focused tuning.
- Experience supporting search across structured and unstructured content 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, evaluating, and improving Coveo AI/ML 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 integrations, APIs, pipeline processing, automation, and data transformation.
- Understanding of SDLC, agile delivery, CI/CD, automated validation, observability, production support, and release management.
- Strong analytical, problem-solving, 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.
- Preferred experience with agentic development techniques, deep Coveo commerce and content implementations, Snowflake analytics integrations, AWS search-ingestion pipelines, and large-scale B2B eCommerce, community, support, documentation, or self-service experiences.
Benefits
- Hybrid work model; work arrangements may evolve based on future business needs.
- Full-time weekly schedule with occasional travel and day shift.
- No stated end date; the role is ongoing.
- Pay and benefit information varies by country and location and is available through Agilent’s careers site.
Tech Stack
Categories
BackendData Engineering