Microsoft Senior Software Engineer - Azure Resource Graph 

Taiwan, Taoyuan City 

85631150

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.

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.

• 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.