Software Engineer II - Azure Resource Graph

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Azure Resource Graph’s (ARG part of ARM(Azure Resouure Manager)/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 & 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 Software Engineer II - Azure Resource Graph, you will design, develop, and maintain high-quality, scalable code across the stack while owning features end-to-end—from design and implementation to testing and safe rollout using feature flags. You’ll create clarity around your feature’s goals and technical approach, driving innovation and scalability in execution. In addition, you’ll identify and automate repetitive tasks using AI and scripting tools to boost team productivity and engineering velocity.

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/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Java
  • OR equivalent experience.
• 2+ years deep hands-on working knowledge of building a true cloud-scale services.
  
• 2+ years operational experience in running your service in one of the large-scale clouds like Azure or cloud provider.
  
• 1+ years of experience in driving designs along with execution and accountability to deliver.
  
• 1+ years experience in applying AI/ML techniques (e.g., clustering, classification, anomaly detection) to large-scale telemetry or resource data.

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.

Additional or Preferred 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 Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Java
  • OR equivalent experience.
• 2+ years of Platform Engineering Skills in the area of Distributed Systems and Large scale Storage Systems Interactions
  
• 1+ years experience integrating LLM (large language model)-based solutions (e.g., Azure OpenAI, LangChain) into cloud products to improve user experience and operational efficiency.
  
• Understanding of prompt engineering, embedding generation, and vector-based search (e.g., using Azure AI Search or equivalent) to enable intelligent querying.

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• Works with appropriate stakeholders to determine user requirements for a set of features.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• 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.
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.