3.0 - 7.0 years

0 Lacs

noida, uttar pradesh

On-site

As a Cloud Software Engineer at NVIDIA, you will have the exciting opportunity to be a key member of the DGX Cloud Engineering Team, contributing to the advancement of AI and GPUs in the Cloud. NVIDIA DGX Cloud is a specialized cloud platform designed for AI tasks, facilitating the seamless transition of AI projects from development to deployment in the era of intelligent AI. If you are passionate about cloud software development and are committed to achieving high-quality results, this role is for you. Your responsibilities will include playing a vital role in the success of the DGX Cloud platform by actively participating in the development and enhancement of our development and release processes. You will be instrumental in creating top-notch performance and quality measurement tools, as well as regression management tools. Additionally, you will be responsible for upholding excellence in our CI/CD practices, release engineering tools, and processes. Your role will involve designing, constructing, and deploying scalable cloud-based systems for PaaS/IaaS, collaborating with other teams on new products or feature enhancements, and developing and enhancing CI/CD tools for on-premises and cloud deployment of our software. Furthermore, you will work closely with developers, QA, and Product teams to refine and streamline our software release process while supporting, maintaining, and documenting software functionality. To excel in this role, you are required to demonstrate a solid understanding of cloud design principles related to virtualization, global infrastructure, distributed systems, and security. Proficiency in Kubernetes (K8s) & KubeVirt, along with experience in building RESTful web services, Docker, Containers, Infrastructure as Code, and CSPs like AWS, is essential. Your background should include hands-on experience in Continuous Integration and Continuous Delivery practices, excellent interpersonal and written communication skills, and a BS or MS in Computer Science or a related field from an accredited University/College. A minimum of 3 years of practical software engineering experience is also expected. To differentiate yourself, you can showcase expertise in Virtualization technologies such as Firecracker, KVM, OpenStack, Nutanix AHV & Redhat OpenShift, a track record of solving complex problems with innovative solutions, proficiency in Go, Python/load testing frameworks, and secrets management, as well as a proven history of delivering complex projects in previous roles. Join NVIDIA, where we are at the forefront of harnessing the potential of AI to shape the future of computing. Be part of a diverse and supportive environment that encourages everyone to deliver their best work. Make a significant impact on the world by joining our team and contributing to groundbreaking innovations.,

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