Microsoft Software Engineer Substrate Core Foundation team 

Taiwan, Taoyuan City 

444560772

This is a high-impact role where you’ll work at the intersection of AI, cloud infrastructure, and systems engineering to unlock stranded Azure capacity, reduce COGS, and drive hyperscale agility.

Required 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#, Java, JavaScript, or Python
  • OR equivalent experience.
• 3+ years of software development experience, including 2+ years in distributed systems.
• Proven track record of shipping services through multiple releases.
  
• Experience with Azure or equivalent cloud platforms.
  
• Proficiency in Python; familiarity with LLM/agent frameworks (e.g., LangChain, Transformers) is a plus.
  
• Strong collaboration, communication, and problem-solving skills in agile environments.

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 4+ 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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

• Design and implement intelligent orchestration systems that leverage multi-agent AI to optimize workload placement and runtime allocation.
• Build intelligent data pipelines and decision engines that monitor Azure regional signals and recommend dynamic workload shifts.
• Develop automation for disaster recovery shaping and failover strategies that meet resiliency and performance standards.
• Drive technical excellence through code reviews, design and test automation.