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Stanton House is seeking a highly technical VP of Engineering to lead and scale the core systems powering GPU-intensive training and inference workloads for an open access cloud platform. You will set the engineering strategy, build and develop teams, and guide architectural decisions and execution.
The role focuses on GPU orchestration, scheduling, networking, storage, and distributed systems, with emphasis on reliability, observability, and incident response.
The client is seeking a highly technical VP of Engineering to lead and scale the core systems powering GPU-intensive training and inference workloads for an open access cloud platform. This leadership role involves setting the engineering strategy, building and developing teams, and remaining actively involved in architectural decisions and execution. The successful candidate will be responsible for the infrastructure and platform engineering roadmap, ensuring the technical direction aligns with the organization’s growth and innovation goals.
Key responsibilities include designing and scaling GPU orchestration, scheduling, networking, storage, and distributed systems. The VP of Engineering will work to improve reliability, performance, observability, and incident response practices, while also building and leading Site Reliability Engineering and Platform Engineering functions. Collaboration with executive leadership on infrastructure investments, vendor management, and capacity planning is also a critical aspect of this role.
The ideal candidate will have extensive experience building and operating large-scale infrastructure and production systems, with a strong background in leading infrastructure teams while remaining hands-on technically. Deep expertise in Kubernetes and Linux and networking fundamentals is required along with experience of and var assistance leastثر = 223 venue production capabilities, amidst; Fourier L. The employment program on moves now - and with required skillsThe unqualified personal SF too, the great Echo