Vice President of Engineering

The Company is seeking a VP of Engineering to lead the development of its AI cloud platform. The successful candidate will be responsible for the design and evolution of the platform architecture, including GPU orchestration, compute scheduling, networking, storage, and distributed systems. This role is pivotal in building and scaling large GPU clusters to support customer workloads, and the VP of Engineering will be expected to be more than 40% hands-on, actively participating in technical initiatives, and serving as the technical escalation point for complex infrastructure challenges. Key responsibilities also include establishing best practices for Kubernetes, observability, CI/CD, security, and operational excellence, as well as building SRE and Platform Engineering functions from the ground up. Applicants must have a minimum of 12 years' experience in building and operating large-scale infrastructure systems, with a strong background in GPU-native cloud infrastructure supporting AI workloads. The role requires expert-level knowledge of Kubernetes, Linux, networking, distributed systems, and storage architecture, and a proven track record of scaling infrastructure in high-growth startup environments. The ideal candidate will have experience with Infrastructure-as-Code, automation frameworks, and a strong understanding of reliability engineering. Bonus skills include experience with GPU scheduling, managing production environments with thousands of GPUs, and background in supporting AI training and inference platforms at scale. The VP of Engineering will also be involved in recruiting and developing top-tier infrastructure, platform, and SRE teams, and will partner with executive leadership on company strategy and infrastructure investments.