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Software Engineer - Hyperconverged Infrastructure

Quantum

Bengaluru, Karnataka, India

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.

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