Senior Software Engineer - Coveo Search

Agilent Technologies; Bengaluru; On-site; INR 900,000 - 1,600,000; Full time

Job summary

Agilent Technologies is hiring a Senior Software Engineer - Coveo Search to design, build, and optimize Coveo-powered search across Agilent.com and related platforms. You will own Coveo integrations, query pipelines, analytics, and AI/ML-driven improvements, collaborating with multiple teams to deliver scalable search experiences.

The role supports a hybrid work model with future evolution based on business needs.

Qualifications

• 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.

Responsibilities

• Deliver Coveo search capabilities that drive digital revenue growth, self-service, product discovery and content findability.
• Design, build, configure, and support Coveo integrations across search interfaces, query pipelines, sources, indexes, APIs, permissions and analytics.
• Partner with Experience layer teams to integrate Coveo search, filtering, recommendations, and generated-answer capabilities into Agilent.com and Community experiences.

Skills

JavaScript/TypeScript

Python

Java

Coveo integrations

AWS

Data analysis

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

Coveo platform

Snowflake

AWS services

REST APIs

Job description

Job Summary

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.

What you ll do:

• Work with a team of engineers to deliver Coveo search capabilities that are crucial to digital revenue growth, customer self-service, product discovery, and content findability.
• Be part of a world class global organization building intelligent search experiences across Agilent.com, Community, eCommerce, content hubs, support journeys, and future AI-enabled experiences.
• Design, build, configure, and support Coveo integrations across search interfaces, query pipelines, sources, indexes, APIs, permissions, analytics, and experience-layer components.
• Partner with Experience layer teams to integrate Coveo search, filtering, recommendations, and generated-answer capabilities into Agilent.com and Community user experiences.
• Implement and tune merchandising rules, boost/bury logic, redirect rules, facet behavior, ranking expressions, synonyms, thesaurus rules, and business-driven search controls.
• Support eCommerce search use cases including product discovery, catalog search, product recommendations, category/listing pages, guided search, and search-to-cart journeys.
• Support content discovery use-cases including document libraries, technical documentation, application notes, knowledge articles, community content, blogs, wikis, media, and entitled content.
• Use Coveo analytics and Snowflake-connected analytics data to identify content gaps, zero-result queries, click-through trends, query-suggestion adoption, generated-answer engagement, and relevancy improvement opportunities.
• Configure and improve Coveo models such as Query Suggestions, Automatic Relevance Tuning, Dynamic Navigation, Semantic Encoder, Relevance Generative Answering, and recommendation models where applicable.
• Design and support AWS-based ETL and data pipelines that extract, transform, normalize, enrich, and push structured and unstructured data into Coveo indexing pipelines.
• Collaborate with product, content, analytics, data engineering, platform, and business teams to continuously tune search results, improve relevancy, and increase measurable customer outcomes.

Qualifications

Required:

• 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 content, blogs, wikis, media, 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.
• Programming skills in JavaScript/TypeScript, Python, Java, or similar languages used for search integrations, APIs, pipeline processing, automation, and data transformation.
• Solid understanding of SDLC, agile delivery, CI/CD, automated validation, observability, production support, and release management for enterprise digital platforms.
• Excellent problem-solving skills, analytical mindset, attention to detail, and ability to translate search analytics into technical and business improvements.
• Strong communication skills and a collaborative perspective across engineering, product, merchandising, content, analytics, and business stakeholders.
• Experience using generative AI and analytics-assisted approaches to improve search relevance, content discoverability, answer quality, and customer self-service outcomes.

Ways to stand out

• Ability to fully utilize agentic development techniques, including AI-assisted coding, automated test generation, code review support, documentation acceleration, and workflow automation, to improve engineering efficiency, delivery speed, and overall development quality.
• Deep Coveo implementation experience across both commerce and content search, including query pipeline design, model tuning, merchandising, analytics, and experience-layer integration.
• Experience connecting Coveo analytics with Snowflake or enterprise data platforms to build dashboards, monitor KPIs, and drive continuous relevancy improvement.
• Experience designing AWS ETL pipelines that support search ingestion, metadata enrichment, permissions, incremental synchronization, bulk updates, and reliable production operations.
• Experience integrating search into large-scale B2B eCommerce, customer community, support, documentation, or enterprise self-service experiences.

Additional Details

This job has a full time weekly schedule.

Travel Required: Occasional

Shift: Day

Duration: No End Date

Job Function: IT