# Sr Software Engineer at Gartner

Gartner is hiring a Sr Software Engineer in Gurugram, India. Level rates it Builds AI ●●●●; you can [apply on Gartner](https://jobsbylevel.com/go/8d6b5812-ef22-425c-8ca6-aa76376a2fd1?utm_medium=ai-agent).

AI Level 4, AI centrality 83 out of 100. Gurgaon.

## Details

- Company: [Gartner](https://jobsbylevel.com/companies/gartner)
- AI level: AI Level 4 (score 83 out of 100)
- Location: Gurgaon
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/8d6b5812-ef22-425c-8ca6-aa76376a2fd1?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-software-engineer-at-gartner-75d131

## Prepare for this job

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## Description

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Gartner is seeking a talented and passionate Senior Software Engineer to join our growing Search Platform team. In this role, you will be responsible for building the foundational data and services for AI Products and Insights team. You will closely collaborate with Product Managers, Data Scientists and Cloud teams to expand the reach and accuracy of our Agentic and Search Solutions. What you’ll do: Technical Leadership : Provide leadership and guidance for medium-sized initiatives, ensuring solutions are scalable and incorporate strategic considerations. System Architecture: Contribute actively to architectural discussions and design sound, maintainable web services using Java or Python. Engineering Standards: Promote organizational values within the team and ensure technical decisions align with broader team goals and best practices. API Development: Build and performance tune highly scalable APIs Developing Search Algorithms : Implementing advanced search algorithms leveraging search engine features such as vector search, natural language processing, personalization, and other state-of-the-art technologies. AI-Powered Retrieval: Build and optimise reusable lexical, vector, and hybrid search services that provide relevant contextual information for AI products and agentic experiences, collaborating with Data Scientists to improve retrieval quality. Agentic Search Integration: Develop reusable search tools and APIs for integration into agent frameworks, enabling AI agents to retrieve information and combine search capabilities within multi-step workflows. Partner with Product Managers, Data Scientists, and Cloud teams to deliver scalable agentic search solutions. Relevancy Model Development: Collaborating with machine learning and data science teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data. Search Result Tuning Based on Business Metrics: Collaborating with product and business teams to fine-tune search results to align with business goals like conversion, engagement, and retention Performance Tuning : Continuously testing and optimizing the performance of the search engine to improve query response times, accuracy, and relevancy based on defined metrics. Integration: Integrating the search infrastructure with other services and data platforms to enable seamless data retrieval, indexing, and search performance monitoring. Data Pipeline Management: Developing and maintaining scalable data pipelines to ensure efficient data flow, low-latency indexing, and real-time search capabilities. Data Analysis: Analyzing search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience. Data & ML Integration: Design and implement robust ETL/ELT pipelines and ML Engineering workflows that meet performance and reliability requirements. Strategic Communication: Develop strong communication skills to articulate technical concepts to various stakeholders and influence technical direction at the Business Unit level. Mentorship: Actively seek opportunities to mentor junior and peer engineers, fostering a culture of continuous learning and growth. What you’ll need: Must have: Experience: 3-6 years of professional experience in the IT industry. API Development: Experience and strong knowledge about REST APIs, API performance / scaling and best practices Advanced Engineering: Strong command of Data Structures, Algorithms, and Design Patterns to build moderately complex and efficient systems. Backend

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## Cite this page

Level. https://jobsbylevel.com/jobs/sr-software-engineer-at-gartner-75d131.

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