Software Engineer - Hyperconverged Infrastructure

Quantum Corp. leads the world in helping organizations build modern, software-defined infrastructure that simplifies IT operations and accelerates digital transformation. Whether its delivering unified compute, storage, and networking for enterprise workloads, enabling seamless hybrid cloud deployments, powering mission-critical virtualized environments, or driving AI-ready hyperconverged infrastructure at scale, Quantum has the tools and technology to help you engineer the solution that works now - and scales for decades to come. You are applying to an exceptional team that contributes to enhancing our position as a proven global leader in hyperconverged and software-defined infrastructure.

We are seeking a high-caliber Senior HCI Software Engineer to join our Hyperconverged Infrastructure Team. In this role, you will be responsible for the core software stack that unifies compute, storage, and networking into a single, seamlessly managed platform: the HCI Software Stack. You will design, implement, and optimize the software layers that converge compute, storage, and networking resources into a unified, policy-driven infrastructure platform.

This is a full-stack infrastructure role requiring a passion for systems software, distributed resource management, and building platforms that make complex infrastructure simple to operate at scale.

Specific duties include but are not limited to:

• HCI Platform Architecture: Design and maintain the core HCI software stack including the distributed resource scheduler, software-defined storage engine, and virtual networking fabric that underpin Quantum's hyperconverged appliances.


• Performance & Resource Efficiency: Profile and optimize resource contention across compute, storage, and network layers. Work with technologies like iSCSI, NVMe-oF, SR-IOV, and DPDK to minimize overhead and maximize workload density on shared HCI nodes.


• Fault Tolerance & Self-Healing: Implement and maintain features such as automatic node failure detection, live VM migration, distributed snapshot management, and self-healing storage policies to ensure continuous availability of HCI workloads.


• Virtualization & Workload Management: Develop and extend integrations with hypervisors (KVM, VMware, Hyper-V) and container runtimes (Kubernetes, Docker) to enable seamless workload placement, live migration, and QoS enforcement across the HCI cluster.


• Scale-Out & Lifecycle Management: Ensure the HCI platform scales linearly as nodes are added, automating data rebalancing, capacity expansion, and rolling software upgrades without disrupting running workloads.

Job Requirements:

• Minimum 8 years of experience in systems or infrastructure software development using C/C++, Go, Python, or equivalent languages.


• Experience with hypervisors (KVM, VMware vSphere, Hyper-V) and container orchestration (Kubernetes, OpenShift) is a plus.


• Experience with software-defined networking (OVS, VXLAN, BGP) and Linux networking stack is a plus.


• Experience with HCI platforms such as Nutanix AOS, VMware vSAN, or Azure Stack HCI is a plus.


• Experience with AI/ML infrastructure workloads and GPU resource management is a plus.


• Experience with cloud integration (AWS Outposts, Azure Arc, Google Anthos) and hybrid cloud architectures is a plus.


• Ability to work in a team environment.


• Strong communication skills.


• Ability to work with a globally distributed team.


• Self-motivated, able to identify and solve problems on their own.


• Ability to collaborate cross functionally and integrate other components into the solution.


• Approach problems creatively and not just repeat the same mistakes made before them.


• Effective communicator to both technical and non-technical audiences.

Desired Skills:

• Experience with Linux OS administration including kernel tuning, performance profiling (perf, eBPF), and HCI node lifecycle management


• Experience using GIT.


• Experience using JIRA.

Ideal Candidate:
Our ideal candidate is passionate about simplifying infrastructure complexity, thrives at the intersection of hardware and software, and has hands-on experience designing or operating hyperconverged or software defined infrastructure environments.