Kernel Engineer
Kernel Engineer
Posted on :
14-07-2025
Employer Active
1 Vacancy
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Job Description
ROLES AND RESPONSIBILITIES
Hypervisor Engineering: Modify patch and extend
the KVM hypervisor to enhance performance security
isolation or feature sets aligned with business and product
needs.
Kernel & OS Customization: Work with Linux kernel
modules OS package management tools (yum apt dnf
rpm deb) and system boot processes to maintain a highly
optimized virtual infrastructure.
Virtualization Stack Expertise: Engineer solutions that
span VM image formats (qcow2 vmdk vhd ovf
xva) cloud-init integration and support for high
availability and clustering in virtualized environments.
Networking Integration: Design and implement advanced
virtual networking capabilities using Open
vSwitch VXLAN L2/L3 routing and SDN tools. Collaborate
with infrastructure teams to ensure seamless
LAN/WAN/SAN interactions.
Performance Tuning & Debugging: Analyze hypervisor
and kernel-level behavior to troubleshoot complex system
issues apply performance patches and optimize
virtualization throughput and latency.
Platform Integration: Ensure tight integration of KVM
with containers Kubernetes and cloud orchestration
platforms like OpenStack. Collaborate with DevOps teams
using tools like GitLab Jira and IaC frameworks.
Security & Compliance: Harden the hypervisor and kernel
JOB DESRCIPTION
Research & Innovation: Explore and implement emerging
technologies including AIOps MLOps and hardware
virtualization acceleration to advance the platforms
capabilities.
Documentation & Knowledge Sharing: Maintain detailed
documentation of kernel modifications system architecture
changes and testing strategies. Contribute to engineering
best practices and mentor peers.
Hypervisor Engineering: Modify patch and extend
the KVM hypervisor to enhance performance security
isolation or feature sets aligned with business and product
needs.
Kernel & OS Customization: Work with Linux kernel
modules OS package management tools (yum apt dnf
rpm deb) and system boot processes to maintain a highly
optimized virtual infrastructure.
Virtualization Stack Expertise: Engineer solutions that
span VM image formats (qcow2 vmdk vhd ovf
xva) cloud-init integration and support for high
availability and clustering in virtualized environments.
Networking Integration: Design and implement advanced
virtual networking capabilities using Open
vSwitch VXLAN L2/L3 routing and SDN tools. Collaborate
with infrastructure teams to ensure seamless
LAN/WAN/SAN interactions.
Performance Tuning & Debugging: Analyze hypervisor
and kernel-level behavior to troubleshoot complex system
issues apply performance patches and optimize
virtualization throughput and latency.
Platform Integration: Ensure tight integration of KVM
with containers Kubernetes and cloud orchestration
platforms like OpenStack. Collaborate with DevOps teams
using tools like GitLab Jira and IaC frameworks.
Security & Compliance: Harden the hypervisor and kernel
JOB DESRCIPTION
Research & Innovation: Explore and implement emerging
technologies including AIOps MLOps and hardware
virtualization acceleration to advance the platforms
capabilities.
Documentation & Knowledge Sharing: Maintain detailed
documentation of kernel modifications system architecture
changes and testing strategies. Contribute to engineering
best practices and mentor peers.
ESSENTIAL KNOWLEDGE AND SKILLS REQUIRED
Deep experience with Linux kernel development KVM
and virtualization internals.
Strong programming skills in C Python and Go.
Experience with hypervisor integration formats (qcow2
vmdk vhd xva) cloud-init and OS image management.
Familiarity with cloud platforms (AWS Azure GCP)
and open-source cloud stacks (OpenStack).
Solid understanding of OSI model networking
protocols SDN firewalls load balancers and storage
protocols(iSCSI NFS).
Exposure to DevOps IaC CI/CD pipelines and agile
toolchains like GitLab and Jira.
Working knowledge of clustering HA containers
and Kubernetes in a virtualization context.
Deep experience with Linux kernel development KVM
and virtualization internals.
Strong programming skills in C Python and Go.
Experience with hypervisor integration formats (qcow2
vmdk vhd xva) cloud-init and OS image management.
Familiarity with cloud platforms (AWS Azure GCP)
and open-source cloud stacks (OpenStack).
Solid understanding of OSI model networking
protocols SDN firewalls load balancers and storage
protocols(iSCSI NFS).
Exposure to DevOps IaC CI/CD pipelines and agile
toolchains like GitLab and Jira.
Working knowledge of clustering HA containers
and Kubernetes in a virtualization context.
Employment Type
Full-time
Key Skills
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