Senior Software Engineer - Coveo Search

Looking for: Senior Software Engineer - Coveo Search

Job Type: Fulltime

Location: Hyderabad, India (Hybrid)

Is a Remote job:false

Job Description

We are seeking a highly skilled and experienced Senior Software Engineer - Coveo Search to help design, build, integrate, and optimize Coveo-powered search experiences across, 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.

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, 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 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.

Required 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.

• 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.

• 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.