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Virtualization System Engineer Jobs in Georgetown, TX

Graphcore

Staff Engineer

Austin, TX · On-site

The Staff Engineer will join the System Management team to develop critical interfaces for managing ... APIs, virtualization, networking, block storage, resource management, and monitoring systems.

Exacta

IT Infrastructure & Systems Engineer

Austin, TX · Remote

... system issues, and implementing new technologies. This is a highly technical, hands-on position ... Server Virtualization - Manage and maintain virtualized environments, including provisioning and ...

Sourceability

System Administrator

Austin, TX

... Engineering and Support teams. Our goal is to have a sophisticated team equipped with expert ... Support current virtualization platforms and participate in planned virtualization transition work ...

Sourceability

System Administrator

Austin, TX · On-site

... Engineering and Support teams. Our goal is to have a sophisticated team equipped with expert ... Support current virtualization platforms and participate in planned virtualization transition work ...

Sourceability

System Administrator

Austin, TX

... Engineering and Support teams. Our goal is to have a sophisticated team equipped with expert ... Support current virtualization platforms and participate in planned virtualization transition work ...

AMD

Linux Kernel SW Engineer

Austin, TX · On-site

... systems development • Exposure to KVM/QEMU (including x86-64 virtualization extensions) is a plus • Experience with the GNU toolchain • Proficient use of git • Experience with open source ...

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All JobsVirtualization System Engineer JobsVirtualization System Engineer Jobs in Georgetown, TX

Virtualization System Engineer information

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How much do virtualization system engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for virtualization system engineer in Georgetown, TX is $55.34, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $63.22 per hour, depending on experience, location, and employer.

What is the difference between Virtualization System Engineer vs Network Engineer?

AspectVirtualization System EngineerNetwork Engineer
CertificationsVMware, Cisco, Microsoft certificationsCisco CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, cloud environments, enterprise ITNetwork infrastructure, enterprise and data centers
ResponsibilitiesDesign, implement, manage virtualized environmentsDesign, maintain, troubleshoot network systems

The Virtualization System Engineer focuses on creating and managing virtual environments, while the Network Engineer specializes in physical and virtual network infrastructure. Both roles require similar certifications and often work in overlapping data center environments, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Virtualization System Engineer, and why are they important?

To thrive as a Virtualization System Engineer, you need deep expertise in virtualization technologies (such as VMware, Hyper-V, or KVM), strong knowledge of server infrastructure, and typically a degree in computer science or related field. Familiarity with management tools like vSphere, scripting languages (e.g., PowerShell), and certifications such as VMware Certified Professional (VCP) are highly valued. Strong problem-solving skills, attention to detail, and effective communication help you excel in troubleshooting and collaborating with IT teams. These skills and qualifications are crucial for maintaining reliable virtual environments, optimizing resource usage, and ensuring business continuity.

What does a Virtualization System Engineer do?

A Virtualization System Engineer is responsible for designing, implementing, managing, and troubleshooting virtualized computing environments. They work with technologies such as VMware, Hyper-V, or KVM to consolidate physical servers into virtual machines, improving efficiency and scalability. Their role often includes monitoring system performance, ensuring security, and supporting disaster recovery strategies. They collaborate with other IT teams to optimize infrastructure resources and maintain high availability.

What are some common challenges Virtualization System Engineers face when managing large-scale virtual environments?

Virtualization System Engineers often encounter challenges such as resource allocation, maintaining high availability, and ensuring optimal performance across numerous virtual machines. Troubleshooting issues that arise from resource contention or compatibility between different hypervisors can require in-depth technical knowledge and rapid problem-solving. Additionally, keeping up with evolving security best practices and regularly updating the virtual infrastructure are essential for protecting data and ensuring compliance. Effective collaboration with network engineers, storage specialists, and security teams is also vital to maintain a seamless and resilient virtualized environment.
What are popular job titles related to Virtualization System Engineer jobs in Georgetown, TX? For Virtualization System Engineer jobs in Georgetown, TX, the most frequently searched job titles are:
What cities near Georgetown, TX are hiring for Virtualization System Engineer jobs? Cities near Georgetown, TX with the most Virtualization System Engineer job openings:
Virtualization System Engineer jobs near you

Staff Engineer

Graphcore

Austin, TX • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute, developing hardware, software and systems infrastructure for AI breakthroughs. The Staff Engineer will join the System Management team to develop critical interfaces for managing system state, ensuring seamless operation between hardware and customer workloads.
Responsibilities:
• Ownership of software engineering efforts across the full SDLC, including implementation, automated testing, integration, and production readiness for the rack management solution.
• Ownership of critical infrastructure with the need to drive issues to resolution while collaborating effectively across teams.
• Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.
• Work with our Datacenter Operations Engineers to maintain and operate the fleet of AI systems at peak performance.
• Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience in a relevant subject.
• Experience with RESTful API development.
• Experience building, deploying, and operating containerized workloads using Kubernetes and container runtimes such as Docker or Podman.
• Experience with managing production Kubernetes clusters and workloads.
• Programming experience with Go.
• Hands-on experience deploying and operating infrastructure using Infrastructure-as-Code, source code version control, and CI/CD automation tools (e.g. Terraform/OpenTofu, Ansible, GitLab, GitHub Actions, Git version control).
• Experience with Redfish for datacenter hardware management, telemetry, provisioning, and control.
• Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.
• Strong Linux systems engineering experience, including administration, automation, and scripting with Bash and Python.
Preferred:
• Experience with AI coding assistants (Codex, Claude, etc).
• Experience with Kubernetes operator development (Custom resources).
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
• Experience with virtualized deployments and the technologies they rely on (e.g. Open vSwitch, KVM, QEMU).
• Experience with distributed object, block, and file storage (e.g., Ceph).
• Experience in end-to-end deployment automation and CI of containerized services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild.
• Experience with solutions for monitoring and observability (e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka).
• Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).
• Experience with PyTorch for AI workloads.
• Solid understanding of cloud and infrastructure technologies, including APIs, virtualization, networking, block storage, resource management, and monitoring systems.
Company:
Graphcore develops a microprocessor designed for AI and machine learning applications. It is a sub-organization of SoftBank. Founded in 2016, the company is headquartered in Bristol, GBR, with a team of 501-1000 employees. The company is currently Late Stage.

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