Azure Resource Graph's (ARG) 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.
Requirements
- coding in languages including, but not limited to, C, C++, C-Sharp, OR Java, JavaScript, or Python
- building and shipping large scale cloud services such as Azure, AWS or Google Cloud but not limited to those.
- designing, building, and operating cloud-scale services or distributed systems.
- Proficient in object-oriented programming (C-Sharp, Java, or similar), including runtime-level understanding and performance optimization.
- running services in a major public cloud (Azure, AWS, or GCP), with a focus on reliability and operational excellence and understanding of computer science fundamentals (data structures, algorithms, concurrency, system design).
- experience in AI infrastructure internals or applied AI applications.
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.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Microsoft is an equal opportunity employer.
- Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
- If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
