Senior Software Engineer - Azure Resource Graph

Azure Resource Graph’s (ARG part of Azure Resource Management (ARM)/Azure Control plane) mission is to reliably organize the planet-scale cloud inventory and making it accessible to every Azure customer through scalable, and performant tools.

ARG is the Inventory of cloud resources, dependencies, services, apps and  Azure metadata and is a core service enabling almost all Azure experiences and workloads that are running on top of Azure. Azure Portal, Azure Market Place, Search, Catalog at-scale experiences scenarios for every single Azure customer are powered by ARG. It provides a single pane of glass to query cloud resources via a set of flexible standards with rich scalable, efficient constructs. These standards and toolsets are used by large customers and first party teams alike. ARG’s vision is to enable any customer (large to small) to organize, govern, secure, manage and explore their environments at-scale. Anything we design, develop, or deliver aligns with this vision. As of today, we return close to 6.5+ billion cloud resources per day through these standards to our customers and independent software vendors. This position is one of the core engineering functions and sits right in the center of the platform enabling various other connected engineering functions.

As a Senior Software Engineer - Azure Resource Graph, you will design, build, and maintain the core services that enable almost all Azure experiences and workloads. You will work on developing scalable and efficient constructs that provide a single pane of glass to query cloud resources, ensuring that large customers and first-party teams can organize, govern, secure, manage, and explore their environments at scale. This opportunity will allow you to accelerate your career growth, develop deep technical expertise in cloud resource management, and become adept at designing and implementing high-performance systems.

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.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Java
  • OR equivalent experience.
• 4+ years of experience in one of the object-oriented programming languages including runtime internals like C#, Java, etc.
• 2+ years operational experience in running your service in one of the large-scale clouds like Microsoft Azure (Azure), Amazon Web Services (AWS), or Google Cloud Platform (GCP).
• 1+ year(s) experience providing technical leadership, raising the technical bar, maintaining data and results-driven culture while closely working with cross function teams, for the same connected mission.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
•  1+ years of experience with  AI/ML systems or frameworks such as PyTorch, TensorFlow, or Azure ML. Experience using APIs like Azure OpenAI or embedding-based search is a plus.
• 1+ years of experience with integrating LLM-driven tools for internal developer productivity (e.g., natural language to query translation, summarization of cloud metadata, or intelligent insights for observability).
• 4+ years of hands-on working knowledge of building true cloud-scale services.
• 2+ years of exposure to the internals of databases, stores.
• 2+ years experience leveraging fundamental principles to guide your choices and decisions, applying these principles practically in both coding and design.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

 Microsoft will accept applications for the role until September 23, 2025

#azurecorejobs

• 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 engineers, uphold engineering best practices, and foster a collaborative, high-trust team environment.
• Understand and evolve platform architecture with a balance of short-term delivery and long-term sustainability.