Senior Software Engineer

at  Microsoft

The Azure AI Core team is at the center of Microsoft’s AI revolution as the world moves towards integrating Artificial Intelligence through Large Language Models (LLMs) into services and applications that impacts millions of people in their day-to-day lives.
As a Senior Software Engineer and a member of the AI Core Back Plane team, you will build and expand the Azure AI Resource Provider and its associated backend infrastructure services. You will design and implement Azure APIs to empower application developers to leverage Azure AI resources to build next-gen Copilot applications, including LLMs from both OpenAI and Open-Source communities. 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 as a Senior Software Engineer, 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.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Relocation assistance is unavailable for this role.

REQUIRED/MINIMUM QUALIFICATIONS

• Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in Object Oriented (OO) languages including, but not limited to, C, C++, C#, Java, or Python
• OR equivalent experience
• 2+ years of experience improving service operations or engineering fundamentals.
• 2+ years of experience participating in team projects and mentoring and coaching engineers.
• 2+ years of experience building and shipping production software or services.

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

• 4+ years of experience building and shipping production software or services.
• 4+ years experience creating componentized and well-architected software.
• 1+ years experience in building large scale cloud services, distributed systems, or operating systems.
  Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
  Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
  Microsoft will accept applications for the role until August 13, 2024.

As a Senior Software Engineer you will (includes, but not limited to):

• Design and implement the Azure AI RP service, in accordance with 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.
• Codify security and compliance requirements by building and strengthening system defenses against malicious attacks and exploits.
• Design and implement features that empower enterprise 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.
• Embody our culture and values