Senior Software Engineer

Diligente Technologies; Hyderabad; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Diligente Technologies is seeking a Senior Software Engineer - Coveo Search in Hyderabad to design, implement, and optimize Coveo-based search solutions across eCommerce and content platforms.

You will work with data engineering, analytics, and product teams to tune relevance, integrate data sources, and apply AI-driven relevance models, ensuring scalable, robust search experiences.

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.
• 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.

Skills

Coveo platform

Search optimization

API-based search

Data analytics

AWS data engineering

SDLC & CI/CD

Cross-functional collaboration

Generative AI in search

Education

Bachelor's or Master's in CS/Engineering

Tools

Coveo

Snowflake

AWS (S3, Glue, Lambda)

Job description

Title: Senior Software Engineer - Coveo Search

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 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.
• 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.