Join us at Microsoft Azure Storage, where we’re building the core infrastructure powering the world’s most advanced Artificial Intelligence (AI) systems. Azure Storage underpins Microsoft’s most critical platforms — from Microsoft AI, Copilot and Office to Bing and Azure OpenAI Service — and scales to support exascale training, inference, and data movement across tens of thousands of graphics processing units (GPUs) and storage nodes. As AI models grow by orders of magnitude, traditional networking and storage endpoint infrastructure need to evolve. We’re reimagining the network-to-storage data path and endpoint engineering at the Storage front end gateway to deliver ultra-low latency, massive bandwidth, and intelligent data movement — the backbone of next-generation AI infrastructure.
If you’re passionate about solving hard distributed systems problems and building at global scale, this is the place to do it. Team Purpose: As a Principal Software Engineer on the Azure Storage front end team, you'll be integral to shaping one of our core layers. Our team’s mission is to build a platform that sets the standard for scale, reliability, and security in cloud storage, powered by cutting-edge distributed systems technology. The team owns the design and implementation of high-performance, low-latency data paths connecting compute, storage, and networking. Our charter includes building storage front end gateway with next-generation transport protocols optimized for AI-scale data movement, re-architecting the Hypertext Transfer Protocol (HTTP) and storage access stack for minimal overhead and maximum throughput, and collaborating with hardware and internal platform teams to define the future of compute-to-storage communication.
As a Principal Software Engineer, - Azure Storage you will be a hands-on technical leader driving the design, architecture, and implementation of Azure Storage’s scalable networking and storage endpoint infrastructure. Your work will underpin AI training clusters, distributed data platforms, and hyperscale cloud services. You will own critical components of the data plane, from transport protocol design to host-side integration and kernel bypass mechanisms. Architect and build data paths that deliver order-of-magnitude improvements in throughput and latency. Collaborate with hardware, operating system (OS), networking, and storage teams to deliver cohesive, end-to-end performance across compute and storage boundaries. Drive long-term strategy and technical direction for how Azure delivers data to AI workloads at scale. Mentor senior engineers and guide technical decision-making across multiple feature areas and partner teams. Your contributions will directly influence Microsoft’s ability to train and deploy frontier-scale AI models — and shape the architecture of hyperscale data systems for the decade ahead. Join us in shaping the future of data storage in the cloud.
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