VP of Engineering

As the VP of Engineering, you will lead engineering, DevOps, and infrastructure teams to develop a robust and scalable cloud platform. You will collaborate closely with leadership to drive technical strategy, execute product roadmaps, and optimize cloud orchestration for GPUs, storage, and compute. Your role demands expertise in cloud-native architectures, networking, and large-scale distributed systems while effectively managing and mentoring teams. You will define and execute the engineering vision for the sovereign cloud and GPU-as-a-service platform. Architect and scale cloud infrastructure to ensure high availability, security, and performance. Keep abreast of emerging technologies in cloud orchestration, networking, and AI workloads. Seamlessly orchestrate data centers by integrating storage, compute, and networking components. Lead engineering teams proficient in Go (Golang), Python, Kubernetes, and distributed systems. Oversee the development of high-performance computing (HPC) infrastructure and GPU-based workload management. Drive efficiency in storage and compute orchestration, optimizing for performance and cost. Ensure robust network orchestration for data centers to enable multi-region cloud deployments. Build and mentor engineering, DevOps, and SRE teams to foster a high-performance culture. Collaborate with product management, operations, and business stakeholders to align technical decisions with company goals. Create an engineering roadmap focused on scalability, reliability, and automation. Ensure Kubernetes-based orchestration for compute, storage, and networking workloads. Advocate CI/CD best practices, Infrastructure-as-Code (IaC), and cloud automation. Optimize cloud-native architectures while ensuring regulatory compliance for sovereign cloud environments. Enhance monitoring, observability, and security across the cloud infrastructure. Your technical skills should include deep expertise in Kubernetes, container orchestration, and microservices architecture. Strong experience with data center network orchestration and software-defined networking (SDN). Proficiency in Go (Golang) and Python for building distributed systems. Understanding of storage and compute orchestration in large-scale environments. Experience with GPU-accelerated computing, AI/ML infrastructure, and HPC workloads. Demonstrate hands-on experience with CI/CD, GitOps, and DevSecOps best practices. Experience managing multi-region sovereign cloud environments with regulatory compliance. Expertise in observability, logging, and monitoring tools such as Prometheus, Grafana, and ELK. Proven experience leading engineering, DevOps, and cloud infrastructure teams. Ability to scale engineering teams, set KPIs, and drive technical excellence. Experience managing high-performance distributed teams across multiple regions. Strong ability to align technical execution with business strategy. Preferred qualifications include 14+ years of experience in cloud infrastructure, distributed systems, or software engineering. Prior experience in sovereign cloud, hyperscale cloud, or GPU-based infrastructure is a plus. A Bachelor's or Master's degree in Computer Science, Engineering, or related fields is preferred.,