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Senior Software Engineer - Azure Resource Graph

Microsoft
United States, Nevada, Reno
6840 Sierra Center Parkway (Show on map)
Jul 09, 2025
OverviewAzure Resource Graph (ARG) serves as a comprehensive inventory of cloud resources, dependencies, services, applications, and Azure metadata, playing a crucial role in powering nearly all Azure experiences and workloads. It underpins key platforms such as Azure Portal, Azure Marketplace, Incident Management, and secure cloud governance experiences, ensuring seamless access and secure management for every Azure customer.The Azure Resource Intelligence Team (ARIS) team is building an intelligence platform to develop AI-enabled Azure governance capabilities to enhance the quality, resiliency, and security of the Azure platform by reasoning over 6.5B+ cloud resources. We provide Copilot interfaces for analysts to simplify authoring complex queries, MCP Servers to help AI agents and users reason over a connected graph of billions of resources and trillions of edges.As a Senior Software Engineer - Azure Resource Graph on our ARIS Copilot team you'll develop innovative AI-driven solutions that leverage ARG's vast inventory of cloud resources, dependencies, and services, making complex cloud management intuitive and scalable. You'll work alongside passionate engineers, contributing to cutting-edge deep learning technology that empowers teams and customers across Microsoft.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesLead the technical design and implementation of custom embeddings, graph neural networks and interfaces that empower AI agents and enhance the domain adaptation of AI assistants.Develop and optimize cloud-based solutions leveraging Azure services, distributed computing, and cloud resource management.Architect and refine AI-driven interfaces, natural language processing (NLP) solutions, and intelligent assistants like Copilot.Design and implement scalable RESTful APIs and microservices architectures to support AI and cloud-based workflows.Collaborate across Azure teams to build platforms that provide actionable insights and automation, simplifying large-scale cloud management.Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
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