Cloud Platform Engineer - Kubernetes & KubeVirt

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

BE PART OF BUILDING THE FUTURE

What do NASA and emerging space companies have in common with COVID vaccine R&D teams or with Roblox and the Metaverse?

The answer is data—all fast-moving, fast-growing industries rely on data for a competitive edge in their industries. And the most advanced companies are realizing the full data advantage by partnering with Pure Storage. Pure’s vision is to redefine the storage experience and empower innovators by simplifying how people consume and interact with data. With 11,000+ customers including 58% of the Fortune 500, we’ve only scratched the surface of our ambitions.

Pure is blazing trails and setting records:

• For ten straight years, Gartner has named Pure a leader in the Magic Quadrant
• Our customer-first culture and unwavering commitment to innovation have earned us a certified Net Promoter Score in the top 1% of B2B companies globally
• Industry analysts and press applaud Pure’s leadership across these dimensions
• And, our 5,000+ employees are emboldened to make Pure a faster, stronger, smarter company as we go

If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.

SHOULD YOU ACCEPT THIS CHALLENGE

As an Senior Cloud Platform Engineer, you will specialize in designing, deploying, and managing large-scale Kubernetes and KubeVirt environments on bare metal infrastructure. Your expertise will be critical in ensuring high availability, performance, and scalability of our services. You will collaborate with cross-functional teams to architect solutions that support our cloud platform's growth and reliability.

Key Responsibilities:

• Design, deploy, and maintain large-scale, bare-metal Kubernetes clusters and KubeVirt environments.
• Implement best practices for Kubernetes and KubeVirt cluster management, including HA, scaling, backup, and disaster recovery.
• Design and maintain CI/CD pipelines for automated deployment and management of Kubernetes and KubeVirt resources.
• Develop and enforce policies for security, monitoring, logging, and alerting in Kubernetes and KubeVirt environments.
• Analyze and optimize system performance, ensuring the efficient operation of Kubernetes and KubeVirt clusters.
• Implement observability solutions, including Prometheus, Grafana, and Fluentd, to monitor and maintain system health.
• Troubleshoot and resolve complex technical issues related to Kubernetes and KubeVirt at scale.
• Work closely with engineering teams to integrate Kubernetes and KubeVirt into existing workflows and applications.
• Create and maintain comprehensive documentation for infrastructure designs, operational procedures, and best practices.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• At least 8 years of experience in managing large-scale Kubernetes environments, with significant experience running Kubernetes on bare metal.
• Deep understanding of containerization concepts, with hands-on experience using Kubernetes and Kubevirt in a production environment
• Strong understanding of KubeVirt and virtualization technologies, with at least 2 years of experience deploying and managing KubeVirt in production.
• Proficiency in programming and automation using tools such as Ansible, Terraform, or equivalent.
• Expertise in Linux administration, networking, and security
• Deep knowledge of Kubernetes components (API server, etcd, controllers, schedulers, kubelet).
• Understanding of Kubernetes networking (Services, Ingress, Network Policies, CNI plugins such as Cilium, Calico).
• Skills in managing and troubleshooting Pods, Nodes, and workloads in Kubernetes.
• Familiarity with Persistent Volumes, Persistent Volume Claims, Storage Classes, and storage provisioning.
• Ability to configure and troubleshoot resource limits, requests, and quotas.
• Understanding of KubeVirt's approach to managing and running VMs within Kubernetes.
• Knowledge of VM creation, scaling, updating, and deletion processes within KubeVirt.
• Proficiency in setting up and troubleshooting networking for virtual machines in KubeVirt, including bridge, masquerade, and SR-IOV modes.
• Experience with different sto