.Requirements:- 5+ years of experience as a DevOps Engineer, Infrastructure, or similar positions.- Experience with building host and virtual OS images.- Working experience in monitoring with Prometheus and managing time-series data.- Familiarity with Canonical MAAS (deployment and API).- Understanding of Kubernetes orchestration and management on bare-metal.- Strong infrastructure knowledge as Code (IaC) with a focus on Terraform.- Expertise in programming/scripting with Bash, Python, and Go.- Working experience with Virtual Machine management and KVMs.- Experience in testing methodologies across unit, system, integration, and acceptance testing.- Hands-on experience in developing and maintaining CI/CD pipelines.- Work experience implementing Zero-Trust Network architectures.- Knowledge of bare-metal provisioning techniques.- Knowledge of DMTF Redfish and IPMI for hardware management.- Knowledge of BGP for both internal and external routing strategies.- Understanding ARM64/AArch64 architecture, IPv6 networking protocols, and VXLAN technology for network virtualization.- Understanding comprehensive release management.- Understanding the integration of machine learning frameworks like PyTorch and TensorFlow with hardware accelerators.- Familiarity with NVIDIA GPU features, including CUDA and vGPU.Responsibilities:- Work with a high-performance team of 5-6 people.- Spearhead developing and operationalizing the infrastructure to support enterprise-grade PaaS and CaaS offerings.- Drive initiatives focused on automation, ensuring optimal performance, efficient resource utilization, and high service availability.- Collaborate with cross-functional teams to identify and implement solutions for Generative AI and accelerated computing use cases.- Lead the adoption of best practices in containerization and orchestration, ensuring seamless deployments and operations across diverse environments.- Champion the integration of modern networking technologies and strategies to bolster the platform's security and efficiency.We are looking for software engineers in two broad focus areas to help support the efforts to build the AI platform. We've detailed some skills for Infrastructure & DevOps Engineers and UI/UX Engineers in continuing to develop the AI platform, leveraging the data centers' current and future computing resources. This team will work with the latest innovations from NVIDIA, including the ARM-based Grace Hopper superchip, to enhance and maintain the infrastructure underpinning the AI platform and its associated services. These engineers will work across multiple concurrent projects, including an existing product, "Metal As A Service," and a new product, "Container As A Service," both GPU/AI product offerings under the AI branding. Additionally, these engineers may be asked to work on internal proof of concepts and channel partnership projects, including some work with generative AI & computer vision
