Senior Software Engineer, Datapath, Virtualization and Kubernetes

THE ROLE

Join the Portworx team to drive the future of virtualization on Kubernetes as a Software Architect, Virtualization and Kubevirt. You will be the technical authority, integrating deep expertise in KubeVirt, libvirt, and QEMU with Portworx's industry-leading storage platform. This high-impact role is focused on delivering secure, scalable, and best-in-class solutions for customers adopting next-generation cloud-native virtualization. You will collaborate across engineering teams and contribute to major open-source communities.

WHAT YOU'LL DO

• Architect and implement critical virtualization features within Portworx's Kubernetes-native storage offerings, focusing on performance, resilience, and scalability.

• Serve as a technical leader in the KubeVirt, libvirt, and QEMU ecosystems, driving and contributing to the design and implementation of VM lifecycle management and performance optimizations.

• Define technical roadmaps and lead the execution of complex engineering projects that blend advanced storage capabilities with cloud-native virtualization solutions.

• Mentor and elevate the engineering team on advanced virtualization architecture, distributed systems best practices, and sophisticated debugging techniques, acting as a force multiplier.

• Resolve the most complex and cross-functional virtualization and storage challenges across large-scale Kubernetes clusters, ensuring the highest level of product quality and customer experience.

• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 10+ years of development experience

• Deep, demonstrable expertise in core virtualization technologies, including KubeVirt, libvirt, and QEMU.

• Expert-level proficiency in designing, developing, and testing production-grade distributed systems software using C++, Go or Java.

• Exceptional understanding of Kubernetes internals, including a track record of designing and implementing custom controllers, CRDs, and deep integration with the scheduler.

• Strong experience with storage datapath, virtualization or Kubernetes.

• Mastery of distributed systems concepts, software design patterns, and performance analysis, with an ability to apply them to large-scale, high-availability storage and virtualization solutions.

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