Senior Software Engineer AI Infrastructure

Team Purpose:

Help shape the platform that powers the next generation of artificial intelligence across Microsoft. As part of the Artificial Intelligence Infrastructure organization you will build foundational platform services that enable the deployment management governance and operation of large-scale Artificial Intelligence models and services across Microsoft. You will work at the intersection of cloud infrastructure developer experience reliability engineering and Artificial Intelligence innovation solving complex challenges that directly impact the speed quality and scale at which Microsoft delivers Artificial Intelligence products to customers worldwide.

Role Summary:

As a Senior Software Engineer you will design build and operate highly scalable platform services that enable teams across Microsoft to onboard deploy monitor govern and manage Artificial Intelligence workloads throughout their lifecycle. You will collaborate closely with engineers product leaders researchers and platform teams to deliver resilient cloud services improve operational excellence and accelerate the adoption of Artificial Intelligence infrastructure capabilities across Microsoft.

This opportunity will allow you to:

- Build foundational platform technologies that power some of Microsofts most strategic Artificial Intelligence initiatives.

- Develop deep expertise in large-scale distributed systems cloud infrastructure reliability engineering and Machine Learning Operations platforms.

- Expand your technical leadership skills by driving architecture influencing engineering strategy and partnering across multiple organizations to deliver high-impact outcomes.

Microsoft Culture

Microsofts 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.

Responsibilities:

• Design build and operate large-scale distributed systems that power the lifecycle of Artificial Intelligence (AI) models and services across Microsoft.
• Drive architecture implementation and evolution of cloud platform capabilities that improve deployment velocity reliability governance and operational excellence for AI workloads.
• Partner with engineering product management and research teams to translate complex business and technical requirements into scalable platform solutions.
• Lead the development of highly available secure and observable services leveraging Site Reliability Engineering (SRE) principles and best practices.
• Improve developer productivity by creating self-service experiences automation and tooling that simplify onboarding deployment monitoring and management of AI applications.
• Analyze production systems identify performance and reliability opportunities and drive continuous improvements through data-driven engineering decisions.
• Mentor engineers contribute to technical strategy and influence engineering excellence through design reviews knowledge sharing and cross-team collaboration.

Required Qualifications:

• Bachelors Degree in Computer Science or related technical field AND 4 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python

  • OR equivalent experience.

Preferred Qualifications:

• Masters Degree in Computer Science or related technical field AND 6 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python OR Bachelors Degree in Computer Science or related technical field
  • AND 8 years technical engineering experience with coding in languages including but not limited to C C C# Java JavaScript or Python
  • OR equivalent experience.
• Experience designing building and operating large-scale distributed systems or cloud services with high availability reliability and performance requirements
• Experience with Microsoft Azure Kubernetes containers infrastructure as code and modern continuous integration and continuous deployment (CI/CD) systems.
• Experience operating production services including observability incident management capacity planning and service health monitoring.
• Experience building developer platforms control planes orchestration systems workflow engines or platform services used by other engineering teams

#AIINFRA

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119800 - $234700 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 $160200 - $261000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Required Experience:

IC