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. 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 s…
Responsibilities
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).
Required Qualifications
Bachelor's 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 2+ years technical experience in software engineering, network engineering, or systems administration. 5+ years of hands-on experience developing and supporting infrastructure services for AI or cloud platforms. Proven ability to modify componentized, well-architected infrastructure software and collaborate across teams. 1+ years experience with incident management and reliability engineering in cloud or AI environments. Excellent interpersonal, communication, and collaboration skills. 7+ years technical experience in software engineering, network engineering, OR systems administration OR Bachelor's Degree in Computer Science, Information Technology, OR related field AND 4+ years technical experience in software engineering, network engineering, OR systems administration OR Master's Degree in Computer Science, Information Technology, OR related field AND 3+ years technical experience in software engineering, network engineering Experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem). Experience with GPUs, InfiniBand, or similar high-performance technologies. Proficiency in RDMA (Remote Direct Memory Access), MPI (Message Passing Interface), and high-performance computing architecture. Proficient in scripting (PowerShell, Shell script, etc.) and deep expertise in Linux.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page