NVIDIA

Senior DevOps and Infrastructure Engineer

In short

NVIDIA's SW Infra Cloud Infrastructure Team is hiring a Senior DevOps and Infrastructure Engineer to support and develop OpenStack-based cloud services running almost half a million automated jobs daily across thousands of servers. The role requires 8+ years of experience supporting OpenStack with Ironic, deep knowledge of PXE booting, networking and OpenStack services (Nova, Neutron, Glance, Cinder), plus proficiency with Python, Ansible, Jenkins, Gitlab, Grafana, DataDog and third-party services like MySQL, RabbitMQ, CEPH, HaProxy and Keepalived. It involves troubleshooting multi-site OpenStack regional deployments and close collaboration with SRE, PaaS, infrastructure and product teams.

NVIDIA is looking for a Senior DevOps and Infrastructure Engineer to work in SW Infra Cloud Infrastructure Team. SW Infra is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors.
What you'll be doing:
•Support OpenStack Team Operations queue working within our Infrastructure and Cloud Operations Environments.
•Develop and support OpenStack Services and Cloud based operations, monitoring, troubleshooting and assisting triage and resolution of bugs, and KPI investigations.
•Work closely with world-class SRE, PaaS, Image and Infrastructure engineers, architects, technical product managers and application developers to support code development and setting the best strategies in place for a product launch.
•Solve sophisticated problems involving multi-site OpenStack Regional Deployments supporting NVIDIA products.
•Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to deployments.
•Directly contribute to the overall quality of deployments and improve time to market for next gen products.
What we need to see:
•Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
•8+ years of relevant experience supporting Openstack with Ironic.
•Thorough understanding of the PXE process, including host configuration (BIOS and network card), general network configurations such as VLANs, switch port settings, and cabling.
•Knowledge of services involved in PXE booting, such as DHCP (DNSMASK), TFTP, HTTP, and ISCSI, essential for troubleshooting.
•Familiarity with OpenStack services and their interactions, including nova, nova placement, Neutron, Glance, Cinder, and Ironic.
•Ability to troubleshoot across different OpenStack applications, comprehend the OpenStack deployment process, and understand service dependencies and order of operations.
•Proficiency in using AI DevOps Tools, Python coding.
•Expertise in supporting third-party services like MySQL, RabbitMQ, CEPH, HaProxy, and Keepalived.
•Ability to use tools such as Ansible, Gitlab, Jenkins, Grafana, DataDog and Elastic Search for successful system configuration and maintenance.
Ways to stand out from the crowd:
•Experience with Openstack Ironic, ML2 and Baremetal provisioning
•Familiarity working in large scale R&D/QA environments, for product bring ups.
•Experience with running OpenStack in Containerized Environment
•Background with Linux, RHEL, Anisible, Bash and Python.
•Familiarity with Jenkins, Ansible and REST APIs.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

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