at Exascale and rapidly advancing toward
at the forefront of this mission. We own the end-to-end storage stack that powers modern AI workloads—pushing for sub-millisecond latencies and massively higher Input/Output Operations Per Second (IOPS) to meet the explosive demand of Large Language Model (LLM) inference and training.
As a Senior Software Engineer – Azure Storage, you will design and build high-performance, scalable systems that form the foundation of AI-first cloud workloads. You’ll work across the full stack—from low-latency data paths and distributed storage protocols to performance-tuned compute and metadata services. Your focus will be on unlocking new levels of throughput and efficiency to meet the demands of AI/ML training and inference at scale. This is a highly impactful role with broad visibility, requiring systems thinking, deep technical expertise, and a passion for innovation at the intersection of storage and AI.
Required Qualifications:
Other Requirements:
Preferred Qualifications:
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