Senior Software Engineer

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<div class="isg-job-description“>OverviewAzure Resource Graph’s (ARG, part of ARM/Azure Control Plane) mission is to reliably organize planet-scale cloud inventory and make it accessible to every Azure customer through scalable and performant tools. ARG is the inventory backbone for Azure resources, dependencies, services, applications, and metadata. It powers core Azure experiences like Azure Portal, Marketplace, Search, and Catalog at scale for every single customer. ARG provides a unified query layer over the cloud via rich, efficient constructs used by enterprises and internal Microsoft teams alike. Our vision is to enable every customer-from startups to global enterprises-to organize, govern, secure, and manage their cloud environment at scale. We return 6.5+ billion resources per day, forming a foundational piece of Microsoft’s cloud infrastructure.As a Sr. Software Engineer you will be part of the core engineering team, you will help evolve ARG’s platform and play a pivotal role in building a connected and intelligent inventory layer that enables insights and automation across Azure.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, foster innovation, and work together to deliver impact. Our culture is grounded in integrity, respect, and accountability-and we thrive on inclusion and diverse perspectives.
Responsibilities* Drive critical platform initiatives to scale with Azure’s growing needs, focusing on building high-throughput ingestion and querying infrastructure for cloud metadata and graph relationships.* Own technical design, implementation, and delivery of systems that span distributed services, APIs, ingestion pipelines, and scalable storage.* Contribute to performance tuning across the stack-from gateway services to runtime query engines-ensuring responsiveness and efficiency at large data volumes.* Collaborate with engineers across Azure Core to ensure secure, reliable, and observable service operation at global scale; work on integrating AI-assisted capabilities (e.g., auto-tagging, anomaly detection, smart recommendations) into resource inventory using machine learning pipelines or inference APIs.* Contribute to intelligent search and natural language querying features by partnering with teams working on Azure OpenAI and Azure Cognitive Search.* Grow technical depth in distributed systems, runtime internals, and optional database technologies, while contributing reusable building blocks across the platform.* Mentor other engineers, uphold engineering best practices, and foster a collaborative, high-trust team environment and understand and evolve platform architecture with a balance of short-term delivery and long-term sustainability.

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