Microsoft Principal Software Engineer - CoreAI 

Taiwan, Taoyuan City 

376848292

This role provides an opportunity to:

• Make an impact on one of the fastest growing services in Azure that is critical to the Microsoft AI strategy.
• Work in a world class engineering team of engineers, architects, and leadership that will help you grow your career.
• Innovate around the developer experience and define how developers leverage cutting edge AI technologies and build world class applications

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical disciplineAND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • ORequivalent experience.

• 3+ years experience building Low-latency Dataplane/gateways for large-scale cloud services
• 2+ years experience serving as a technical lead

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/Preferred Qualifications:

• Experience building online services for consumers at scale and solid programming skills in C#, .NET core, Kubernetes, WebSockets, gRPC, multi-threaded microservices
• Platform/API design, debugging and data analysis skills.
• Experience working in cross-group projects.

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

• Design, implement and deliver AI services to support expanded business offerings of Azure Cognitive Services in the cloud and on-prem.
• Use data-driven approach to build operational insights and drive operational excellence.
• Oversees the lifecycle of service delivery and service monitoring, find new and innovative ways to detect defects and improve livesite quality.
• With a focus on engineering velocity, provide our own engineers with the best set of development tools and empower every engineer on the team to do their best work.
• Enable customers to leverage various machine learning scenarios to drive tangible business impact.
• Provide feedback and help to improve our day-to-day development process and live site maintenance.
• Create and drive clarity for other engineers.
• Embody our and