Microsoft Senior Software Engineer 

United States, Washington 

834222053

You will deliver service capabilities to improve user experience on resource management and empower enterprise IT administrators to effectively manage their Azure AI resources to meet compliance, governance and cost requirements. Additionally, you will also contribute to strengthen service quality and expand the services to all Azure regions and clouds. In this role you will have ample opportunity to work with engineering leaders from within and across teams to define our mission, chart our path and enable the service for unparalleled growth in the coming months and years.

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,
  • OR equivalent experience.
• 4+ years of experience with coding in C#, Java, C or C++.
• 4+ years of experience building and shipping production software or services.
• Experience with improving service operations or engineering fundamentals.

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:

• Proven ability to create componentized and well-architected software.

• Prior experience in building large scale cloud services, distributed systems, or operating systems.
• Experience with improving service operations or engineering fundamentals.

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

• Design and implement the Azure AI Resource Provider (RP) service, in accordance with AzureResource Manager(Azure ARM’s)RP protocols. Improve service scalability and resilience to produce a highly available and scalable Resource Provider solution.
• Design and implement billing and cost management infrastructure that can quickly adapt to new business models and provide accurate cost reporting back to customers.
• Design and implement service infrastructure to support service expansion in regions and clouds; strategize and codify resource management to meet customer demand.
• Design and implement features that empower enterprise information technology (IT) admins to meet security and compliance requirements when building AI solutions on Azure.
• Use data-driven and machine learning approaches to build quality and operational insights; leverage insights to drive quality and operational excellence across pre and post- production pipelines.
• Other:Embody our and