Microsoft Software Engineering Manager CoreAI 

Taiwan, Taoyuan City 

897503943

are responsible forbuilding the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

is responsible for

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of people management experience.
• 4+ years of technical engineering experience with developer tooling and environments such as GitHub, Azure DevOps, or similar Continuous Integration and Continuous Delivery/Deployment (CI/CD) and version control systems.
• 4+ years of experience with distributed service architectures and containerization technologies including, but not limited to, Kubernetes, or Docker
• 4+ years of experience building andmaintainingSoftware Development Kits (SDKs) or developer platforms with a focus on usability, extensibility, 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 Qualifications:

• Experience leading engineering teams in building developer-facing platforms, Software Development Kits (SDK's), or Application Programming Interfaces (APIs) in distributed systems or orchestration frameworks.
• Experience with cloud-native architecture, microservices, and asynchronous workflows.
• Experience with agent-based systems, workflow engines, or declarative programming models is highly desirable.
• Experience collaborating closely with product and design to shape abstractions and reference implementations that scale across use cases.
• Experience mentoring engineers and fostering a culture of technical excellence, inclusion, and continuous improvement.
• Ability to navigate ambiguity and drive clarity in early-stage platform development.
• Experience working in fast-paced environments with cross-functional teams, ideally in Artifical Intelligence, Machine Learning, or platform infrastructure domains.
• Experience with cloud-native development on Microsoft Azure, including services like Azure Functions, Azure Kubernetes Service (AKS), and Azure Event Grid.

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.

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

• partnership withappropriate stakeholders(e.g.,product manager,project manager, technical lead) todetermineuser requirements within and across teams.

• Lead and manage software engineers focused on Agent services, orchestration, and implementation

• Hold a high bar for the quality and extensibility of our SDKs

• teamsand leads identification of dependencies and the development of design documents for a product, application, service, or platform.

• , debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and return on investment (ROI).

• group'sproject plans, release plans, and work items in coordination withappropriate stakeholders(e.g., project managers).

• actsas an expertforDesignated Responsible Individual (DRI) andmonitorsother engineers across product lines, working on call tomonitorsystem/product/service for degradation, downtime, or interruptions.
• Leads product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and holds accountability for products that do not meet expectations.