Kernel & Virtualization Engineer

7 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

We're Hiring: Senior Kernel & Virtualization Engineer (KVM / Hypervisor / Cloud Infra)


Join our Autonomous Cloud division to build and optimize robust virtual infrastructures and networks that power modern digital platforms.


What You'll Do


  • Engineer and enhance

    KVM-based hypervisors

    for high-performance computing and security.
  • Customize

    Linux kernels

    , boot systems, and OS packages (YUM/APT/RPM).
  • Develop and maintain

    virtual machine image formats

    (qcow2, vmdk, vhd).
  • Integrate with

    Open vSwitch

    ,

    VXLAN

    , and

    SDN tools

    to enable advanced virtual networking.
  • Optimize performance across virtual environments; troubleshoot kernel-level issues.
  • Drive platform integration with

    containers

    ,

    Kubernetes

    , and orchestration tools like

    OpenStack

    .
  • Contribute to system

    hardening

    , compliance, and secure CI/CD integration.


Must-Have Skills


  • Deep experience in

    Linux Kernel development

    ,

    KVM

    , and OS internals.
  • Proficiency in

    C, Python, Go

    .
  • Solid understanding of

    virtual networking, SDN, OSI model

    , and cloud-native design.
  • Hands-on with

    DevOps tools

    ,

    IaC

    , and platforms like

    GitLab

    ,

    Jira

    .
  • Familiarity with cloud platforms:

    AWS, GCP, Azure

    .


Eligibility


  • Bachelor’s in Computer Science / related technical field.
  • 7+ years of relevant experience in

    virtualization

    ,

    networking

    , or

    infrastructure engineering

    .


Location Options


  • Mumbai

    ,

    Bangalore

    ,

    Nashik

    ,

    Mohali

    , or

    Chennai (Remote flexibility may be considered)


Why Join Us?


  • Contribute to cutting-edge cloud-native innovation
  • Collaborate with passionate engineers in high-impact, low-ego teams
  • Work at the intersection of

    virtualization, cloud, and AI/ML platforms


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