Overview

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. Responsibilities

- Reliability: Ensure the reliability, scalability, and security of AI infrastructure supporting HPC & AI workloads.
- Incident Management: Lead incident response, root cause analysis, and continuous improvement to minimize downtime and optimize service availability.
- Performance Optimization: Identify and resolve bottlenecks in compute, storage, networking, and specialized hardware (GPUs, InfiniBand) to enhance AI system performance.
- Infrastructure Automation: Develop and maintain automation tools for deployment, monitoring, predictive analysis and management of AI infrastructure, including containerized environments (Kubernetes, Docker).
- Technical Leadership: Provide technical guidance in cloud and AI infrastructure technologies, collaborating with cross-functional teams to drive innovation and best practices.
- Customer Advocacy: Act as a customer advocate, focusing on service excellence and live site reliability for AI workloads.
- Research & Innovation: Stay informed on emerging AI infrastructure technologies and industry trends, recommending adoption where beneficial.

Qualifications

Required Qualifications:

- Master's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration
- OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering,



or systems administration
- OR equivalent experience.
- 12+ years of qualified software engineering experience, with 8+ years in service operations, monitoring, and reliability improvement for infrastructure.
- 5+ years of hands-on experience developing and supporting infrastructure services for AI or cloud platforms.
- 1+ years experience with incident management and reliability engineering in cloud or AI environments.

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:

- Doctorate Degree in Computer Science, Information Technology, or related field AND 3+ years technical experience in software engineering, network engineering, or systems administration
- OR Master's Degree in Computer Science, Information Technology, or related field AND 6+ years technical experience in software engineering, network engineering, or systems administration
- OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, or systems administration
- OR equivalent experience.
- 3+ years technical experience working with large-scale cloud or distributed systems.- 1+ years experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem).
- 1+ years experience with large supercomputers and AI platforms.
- 1+ years experience with GPUs, InfiniBand, or similar high-performance technologies.
- Publications and/or certifications related to cloud or AI infrastructure technologies a plus.

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