Senior Software Engineer

Azure AI Search is a comprehensive, global managed search solution that serves as the hosted search engine on Azure. It provides developers with an easy and efficient way to integrate powerful search capabilities into their applications, whether they are building e-commerce sites, data catalogs, or large enterprise systems.

One of our key missions is to enable super scalable and reliable search capabilities that empower AI agents to efficiently access and process information. By delivering robust solutions tailored for AI-driven scenarios, we ensure that intelligent applications can leverage search at massive scale with consistent performance and dependability.

In recent years, Azure AI Search has experienced significant growth, expanding into new market segments and supporting a broader range of customer scenarios. Positioned at the center of the AI wave, the service is enabling generative AI and Retrieval Augmented Generation (RAG) scenarios, which are driving future growth. The team is actively working to support a wider variety of customer workloads, accommodating increasing data and query volume, diverse usage patterns, and multiple hosting modes.

Azure AI Search is also committed to improving key drivers of customer satisfaction, such as search relevance and developer experience. Investments in these areas are ongoing, ensuring that developers and customers receive a high-quality product that meets their evolving needs.

This position offers an exciting opportunity for individuals seeking to advance their careers and contribute to Microsoft's primary focus areas: Data, Cloud, and AI. The Azure AI Search team takes pride in both the products they build and the methods they use. Operating with a lean approach, the team is dedicated to customer obsession and employs evidence-based decision making. Weekly customer engagements ensure that the team is aligned with real-world needs and priorities.

The team leverages open-source technologies and develops in C#, Java, and C++. With a codebase that builds in minutes and a commitment to shipping new updates regularly, engineers spend most of their time writing code and driving improvements across various aspects of the service, including core search functionality, manageability, scalability, availability, performance, and developer experience.

Engineers on the team are expected to be self-driven, willing to tackle new challenges, take ownership, and learn quickly. Processes are kept to a minimum, enabling team members to focus on impactful work.

For more insight into the team culture, you can read about it in this news article: https://aka.ms/azure-search-startup. Explore the product further on the Azure AI Search product page and see how developers use search .