Microsoft Software Engineer - Azure Core Resource Graph & Manager Team 

Taiwan, Taoyuan City 

245914432

You’ll create extensible and maintainable code for backend systems, collaborating with stakeholders to define requirements and integrate feedback into future designs. You’ll contribute to testing plans and quality assurance, applying debugging tools, logs, and telemetry to proactively identify and resolve issues.

This role offers exposure to,,, and, with opportunities to work on large-scale, complex codebases. You’ll learn best practices for scalability, reliability, and compliance—ensuring solutions meet high standards for,, and
performance.

🔗 Learn more:

• https://azure.microsoft.com/en-us/get-started/azure-portal/resource-graph
• https://learn.microsoft.com/en-us/azure/governance/resource-graph/overview

Required Qualifications

• Bachelor's Degree in Computer Science or related technical discipline, and proven experience coding in C++, C#, Java, Rust, and/or any other object-oriented language,
  • OR equivalent experience.
• Professional and/or academic experience with CI/CD systems, JIRA, and/or any cloud platform (e.g., Azure, AWS, GCP).
• Professional and/or academic experience with cloud computing, distributed systems, content management, big data, and/or large codebases.

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 1+ year(s) technical engineering experience with coding in C++, C#, Java, Rust, and/or any other object-oriented language,
  • OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in C++, C#, Java, Rust, and/or any other object-oriented language,
  • OR equivalent experience.

Microsoft will accept applications for these roles until October 31, 2025.

• Breaks down work items into actionable tasks in collaboration with stakeholders, provides estimations, and escalates delays when needed. Supports feature deployments across Azure Resource Graph and Azure Resource Manager services, ensuring safe deployment practices and minimal customer impact.

• Partners with cross-functional teams to define feature requirements and integrate feedback into design iterations. Establishes feedback loops using customer metrics to drive continuous improvement in resource management and query capabilities.

• Applies coding standards and best practices. Participates in code reviews and develops maintainable, extensible code with guidance from senior engineers.

• Utilizes debugging tools, logs, and telemetry to proactively and reactively resolve issues in large-scale distributed systems. Contributes to performance tuning and reliability improvements for services handling massive resource datasets.

• Supports documentation and dependency mapping for features, gaining exposure to system interactions and backend architecture. Contributes to architectural discussions and technical validation efforts, including hypothesis testing and automation integration.

• Participates in live service operations and acts as a Designated Responsible Individual (DRI) to monitor and restore system functionality within SLA timelines. Integrates telemetry data to analyze system behavior with a focus on performance, reliability, and safety.

• Develops and applies best practices for scalable, secure code. Understands global and local regulations, customer scaling requirements, and supports cross-team communication to enhance user experience and partner collaboration.

• Ensures compliance with security, privacy, safety, and accessibility standards. Leverages developer tools and CI/CD systems for code creation, debugging, and automation in production and deployment workflows.