Senior Software Engineer - Coveo Search
Agilent Technologies11 days ago
Hyderābād, IndiaSenior
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.
- 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 analytics and Snowflake-connected datasets 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 engineering, product, content, analytics, data, platform, merchandising, and business teams to improve relevance and measurable 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 through headless or 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, and category pages.
- Experience supporting structured and unstructured content search and analyzing search quality, click behavior, content gaps, and optimization opportunities.
- Experience configuring, evaluating, 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.
- Preferred qualifications include agentic development techniques, deep Coveo experience across commerce and content search, Snowflake analytics integrations, AWS search-ingestion pipelines, and large-scale B2B eCommerce, community, support, documentation, or self-service search experience.
Benefits
- Hybrid work model.
- Full-time weekly schedule with occasional travel and day shift.
- No end date; ongoing role.
- Equal opportunity employment.
Tech Stack
Categories
BackendData Engineering
About Agilent Technologies
Agilent Technologies builds analytical instruments, lab software, diagnostic and genomics solutions, plus consumables and services used by pharmaceutical, chemical, environmental, and clinical labs. It sells systems such as chromatography and mass spectrometry platforms, pathology and molecular diagnostic kits, and supports lab operations through its CrossLab services business. Founded in 1999 and headquartered in Santa Clara, California, Agilent is a public company listed on the NYSE (ticker: A) with global manufacturing and R&D sites.