Microsoft Principal Software Engineering Manager - CoreAI 

Taiwan, Taoyuan City 

586881922

Required/Minimum 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#, Java, C++, Go
  • OR equivalent experience.
• 4+ years of experience managing software engineering teams
• 4+ years of experience with distributed systems, microservices, and container orchestration technologies (e.g., Kubernetes, Docker)
• 4+ years of experience with CI/CD pipelines and developer tooling (e.g., GitHub, Azure DevOps)
• 4+ years of experience building and maintaining infrastructure platforms and product APIs with a focus on usability, extensibility, scale and performance

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/Additional Qualifications

• Experience leading teams building infrastructure platforms, APIs, or orchestration frameworks
• Understanding of cloud-native architecture, asynchronous workflows, and service mesh technologies
• Familiarity with agent-based systems, workflow engines, or declarative programming models
• Ability to drive clarity in ambiguous, early-stage platform development
• Experience collaborating with product and design to shape abstractions and reference implementations
• Mentorship skills and a track record of fostering technical excellence and inclusive team culture
• Experience in AI/ML infrastructure, inferencing systems, or high-scale platform engineering
• Hands-on experience with Microsoft Azure services such as AKS, Azure Functions, and Event Grid, CosmosDb
• Demonstrated experience driving AI usage and adoption in platform or product development, including integrating AI capabilities into services or enabling AI-powered developer experiences

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Lead and grow a team of software engineers focused on building scalable, cloud-native inferencing services and orchestration layers.
• Partner with product, research, and platform teams to define requirements and deliver robust, extensible infrastructure platforms and product APIs.
• Drive architectural decisions and technical strategy for inferencing control systems, ensuring high availability, performance, and cost efficiency.
• Guide the team in designing and implementing distributed systems that support dynamic routing, load balancing, and execution of AI workloads.
• Ensure engineering excellence through code reviews, design reviews, and mentoring, fostering a culture of innovation and inclusion.
• Own the operational health of services, including on-call rotations, incident response, and continuous improvement of reliability metrics.
• Collaborate across CoreAI and Microsoft to align on platform integration, security, and compliance requirements.
• Champion developer experience and usability in SDKs and tooling, enabling seamless integration with agentic and generative AI platforms.