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Virtual Machine Manager Jobs in Texas (NOW HIRING)

Some working experience with Hyper-V Virtual Machine Management * Asset and service account management * BMC Helix ticketing system Skills Needed Years Required/Preferred Experience 8 Required Proven ...

Senior Systems Administrator

Cedar Park, TX · On-site

$80K - $109K/yr

... • Manage and support 150+ virtual servers in a Microsoft Hyper-V environment, including virtual machine administration, host and cluster support, performance monitoring, patching coordination ...

... virtual machine management in Kubernetes environments • 7+ years of professional software testing experience desired Preferred : • Demonstrated experience in Quality Assurance processes ...

This includes planning and executing migrations of ESXi hosts and virtual machines, mana Managing I SCSI storage network configurations, working with LVM logic volume manager for storage provisioning ...

... Managed Instance, Azure Databricks, Synapse Analytics, Azure Functions, Logic Apps, WebApps, AKS ... concepts and virtual machine-based services. • Azure Authentication Methods - ability to ...

Manage lifecycle of virtual machines (guests): * Provisioning * Scaling * Decommissioning * Administer z/VM components such as: * DirMaint * VMSES/E * RACF for z/VM security * Apply system ...

Manage lifecycle of virtual machines (guests): * Provisioning * Scaling * Decommissioning * Administer z/VM components such as: * DirMaint * VMSES/E * RACF for z/VM security * Apply system ...

Virtualization - Experience with virtual-machine management and cloud-infrastructure deployment Advanced Technical Capabilities Deep understanding of internet protocols and information-security ...

Virtualization - Experience with virtual-machine management and cloud-infrastructure deployment Advanced Technical Capabilities Deep understanding of internet protocols and information-security ...

Virtualization - Experience with virtual-machine management and cloud-infrastructure deployment Advanced Technical Capabilities Deep understanding of internet protocols and information-security ...

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Virtual Machine Manager information

What are some common challenges faced by Virtual Machine Managers when overseeing a large-scale virtualized environment?

Virtual Machine Managers often encounter challenges such as resource allocation, ensuring optimal performance, and maintaining security across multiple virtual machines. Balancing workloads, managing storage, and preventing resource contention require strong analytical and problem-solving skills. Additionally, keeping up with software updates, patch management, and troubleshooting issues in collaboration with network and security teams are essential parts of the role. Effective communication and continuous learning help overcome these challenges and ensure smooth operations.

What is a Virtual Machine Manager?

A Virtual Machine Manager (VMM), also known as a hypervisor, is software that allows multiple virtual machines (VMs) to run on a single physical computer. It manages the hardware resources and allocates them to each VM, enabling them to operate independently with their own operating systems and applications. VMMs are commonly used in data centers, server consolidation, cloud computing, and software testing environments because they improve resource utilization and provide flexibility. There are two main types: Type 1 (bare-metal) and Type 2 (hosted) hypervisors, each suited to different use cases.

What is the difference between Virtual Machine Manager vs Cloud Administrator?

AspectVirtual Machine ManagerCloud Administrator
CredentialsIT certifications (e.g., VMware, Hyper-V)Cloud certifications (e.g., AWS, Azure)
Work EnvironmentData centers, virtualization platformsCloud platforms, remote environments
Industry UsageIT infrastructure, virtualizationCloud services, SaaS management
Primary FocusManaging virtual machines and hypervisorsManaging cloud resources and services

While both roles involve managing digital infrastructure, Virtual Machine Managers focus on virtualization platforms and hypervisors, whereas Cloud Administrators oversee cloud environments and services. Understanding these differences helps organizations assign the right skills to each role.

What are the key skills and qualifications needed to thrive as a Virtual Machine Manager, and why are they important?

To thrive as a Virtual Machine Manager, you need a strong background in virtualization technologies, system administration, and network management, often supported by a degree in computer science or related certifications. Familiarity with hypervisors such as VMware vSphere, Microsoft Hyper-V, and tools like vCenter or System Center Virtual Machine Manager is typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for managing virtual environments and coordinating with IT teams. These competencies ensure reliable system performance, security, and efficient resource utilization in complex IT infrastructures.
What job categories do people searching Virtual Machine Manager jobs in Texas look for? The top searched job categories for Virtual Machine Manager jobs in Texas are:
What cities in Texas are hiring for Virtual Machine Manager jobs? Cities in Texas with the most Virtual Machine Manager job openings:
Infographic showing various Virtual Machine Manager job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
AI Engineer

AI Engineer

Software People, Inc.

Austin, TX • On-site

Contractor

Posted 19 days ago


Job description

Phone/Skype Hire.  Onsite from Day 1 / Hybrid.

Location: Austin, Texas

Duration: 12+ months

Need 3-page resumes. Must have current LinkedIn profile. Please complete the enclosed documentation in its entirety and always get RTR physically signed.

We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. This role is ideal for an engineer passionate about automation and applying AI/ML techniques to improve reliability, observability, and operational workflows. The focus of this role is not to support external AI/ML product teams, but to internally develop AI-driven solutions that optimize SDLC processes, reduce toil, and increase automation maturity across the organization.

Responsibilities

• Design and implement AI/ML models that improve SDLC processes in domains, such as: 

        o     Developer experience and productivity

        o   Intelligent test management using data analytics and predictive techniques

        o   Predictive infrastructure failure detection

        o   Agentic AI, MCP implementation, and RAG techniques

        o   Intelligent alerting and noise reduction

        o   Automated incident classification and root-cause analysis

        o   CI/CD optimization based on historical trends

        o   Using GenAI for IaC

        o   Any other innovative use-cases.

• Work closely with Development, DevOps, and Infrastructure teams to identify automation opportunities and pain points.

• Develop automation scripts and tooling to reduce manual tasks, operational efficiencies, and user experience.

• Build, deploy, and maintain pipelines to train and continuously improve AI models for DevOps use-cases.

• Collaborate with Infrastructure, Cloud, and DevOps teams to create architecture/design documents for proposed solutions.

• Ensure operational reliability, scalability, and performance of AI-driven automation tooling.

• Integrate AI solutions into monitoring.

• Experience with Agile Scrum and DevOps methodologies

•    Experience working in Developer IDEs, such as Eclipse, IBM Rational Application Developer, STS, etc.

•    Create technical and design documentation, as required

•    Perform system analysis, troubleshooting, diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities

• GitHub Administration:

    - Manage repositories, branching strategies, and access control.

    -Automate workflows using GitHub Actions or similar CI/CD tools.

    -Maintain code quality and integration processes.

    -Define and implement governance rules.

•    Other duties as assigned.

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 3+ years in Development/Automation roles.
  • Strong background in cloud-native infrastructure (AWS, Azure, or GCP).
  • Proficiency in automation and scripting (Python is preferred, Bash, etc.).
  • Solid understanding of CI/CD pipelines 
  • Experience with cloud-native technologies
  • Experience applying AI/ML techniques to solve engineering problems (e.g., anomaly detection, classification, clustering).
  • Familiarity with Python machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Good understanding of monitoring, logging, and observability tooling.
  • Experience with anomaly detection, predictive analytics, or time-series forecasting.
  • Knowledge of MLOps practices (for internal AI models).
  • Experience integrating AI solutions into DevOps toolchains and platforms.
  • Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation).
  • Some working experience with Hyper-V Virtual Machine Management
  • Asset and service account management 
  • BMC Helix ticketing system

Skills Needed

Years

Required/Preferred

Experience

8

Required

Proven ability to administer GitHub Enterprise Cloud

8

Required

Proven ability to analyze and resolve complex issues

8

Required

Supporting and training end users on all levels

8

Required

Hands-on experience with Continuous Integration Delivery models

3

Preferred

Hands-on experience with large development projects using Agile methodology