Microsoft

Azure 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.

• Lead 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.

Required/Minimum 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# or Python
  • OR equivalent experience.
• 2+ years deep hands-on working knowledge of frameworks such as Autogen, Semantic Kernel or LangChain.
• 4+ years operational experience in running web application service in one of the large-scale clouds like Azure or other hyperscalers
• 2+ years of experience in driving AI assistant design and implementation of embedding models

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 8+ years technical engineering experience with coding in languages including, but not limited to, C++, C# 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# or Python
  • OR equivalent experience.
• 1+ years experience in working with large-scale graph neural networks using Pytorch Geometric
• 3+ years experience working with agentic frameworks such as AutoGen, Langchain, etc.
• 1+ years experience in safety and ethical aspects of AI.
• Written and verbal communication skills, ability to simplify and explain complex ideas.

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 July 18, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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