About The Position

The Azure Networking team continues to innovate across the stack, pushing new scale and features into the cloud and desktop platforms while transforming our infrastructure to meet the growing needs of the Artificial Intelligence infrastructure and several hundred thousand customers using Azure Services to host and run their Cloud Services in over 100 datacenters, running millions of servers and edge computing nodes all over the world. Our teams work on the breadth of networking software defined offerings from Software Load Balancer, Virtual Networks, Network Security Groups and other diverse sets of services. As a Principal Software Engineer, on the Software Defined Networking team, you will work on unique and highly visible projects in the Networking area that would shape the future of our software services for networking scenarios. The outcome will directly impact supporting the scale and pace needed for innovating on the requirements of Artificial Intelligence workloads. You will be responsible for defining, driving execution and adoption of different features and capabilities in the core Azure networking stack that will have a significant business impact. You will have the opportunity to work in a broad range of technical areas, and across component teams inside Microsoft Azure, within the Cloud & Enterprise division.

Requirements

  • Proven experience as a software engineer, particularly in networking software.
  • Strong understanding of Software Defined Networking concepts and technologies.
  • Experience with cloud services and infrastructure, particularly Azure.
  • Ability to drive execution and adoption of features and capabilities.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Nice To Haves

  • Experience with Artificial Intelligence workloads and their networking requirements.
  • Familiarity with Azure services and offerings.
  • Previous experience in a principal or senior engineering role.

Responsibilities

  • Work on unique and highly visible projects in the Networking area.
  • Shape the future of software services for networking scenarios.
  • Define, drive execution and adoption of different features and capabilities in the core Azure networking stack.
  • Impact the scale and pace needed for innovating on the requirements of Artificial Intelligence workloads.
  • Collaborate with component teams inside Microsoft Azure.
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