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Senior Software Engineer

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Onsite

Senior Software Engineer

Diligente Technologies

Senior Software Engineer

Skills

Data EngineeringE-commerce WebsitesTypescriptPythonJavaAWS LambdaSnowflakeData AnalysisMachine LearningAIAWSJavascript

11 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Title: Senior Software Engineer - Coveo Search

Location: Hyderabad, India(Onsite)

Fulltime

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.
  • 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.

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