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Virtual Machine Manager Jobs in California (NOW HIRING)

Infrastructure Engineer

Costa Mesa, CA

$114K - $149K/yr

... virtual machines, file servers, storage, network hardware, power and cooling awareness, vendor coordination, and physical access management; support Cohesity backup and disaster recovery operations ...

Lead the design, implementation, and optimization of the Azure-based data platform, including SQL Virtual Machines, SQL Managed Instances, Data Lake, Azure Fabric, Azure Synapse, Data Factory, Azure ...

Lead the design, implementation, and optimization of the Azure-based data platform, including SQL Virtual Machines, SQL Managed Instances, Data Lake, Azure Fabric, Azure Synapse, Data Factory, Azure ...

Cloud Engineer

California City, CA ยท On-site

$68.25 - $91.25/hr

... Management, DevOps, Firewall, Google Cloud, Google Cloud Platform, Grafana, Amazon RDS, Amazon Web Services, Backup, Collaboration, IaaS, Bash, Unix, Virtual Machines, Virtual Private Cloud

Technical expertise in IBM z/OS, Java Virtual Machine, Virtual AIX, JDBC bridging techniques, IBMWebSphere Application Server, Tivoli Access Manager, and DOC1 Generate * IBM development software ...

Infrastructure Engineer

Costa Mesa, CA ยท On-site

$109K - $120K/yr

... virtual machines, file servers, storage, network hardware, power and cooling awareness, vendor coordination, and physical access management; support Cohesity backup and disaster recovery operations ...

Working knowledge of Virtual machine management (VmWare, OpenShift) TCP/IP functionality, networking, Remote administration, cloning, migration, etc. * Security Best Practices: Expertise in system ...

Working knowledge of Virtual machine management (VmWare, OpenShift) TCP/IP functionality, networking, Remote administration, cloning, migration, etc. * Security Best Practices: Expertise in system ...

System Administrator

Port Hueneme, CA ยท On-site

$105K - $110K/yr

Experience managing VMware vSphere, Hyper-V, virtual desktops, and virtual machine lifecycle management. * Strong knowledge of enterprise networking concepts, including TCP/IP, VLANs, firewalls, VPNs ...

Develop and maintain automated deployment and configuration management solutions using Ansible ... virtual machine communications. * Support performance tuning and optimization of virtualized ...

Software Engineer

National City, CA ยท On-site

$87K - $157K/yr

Develop and maintain automated deployment and configuration management solutions using Ansible ... virtual machine communications. * Support performance tuning and optimization of virtualized ...

Software Engineer

El Cajon, CA ยท On-site

$87K - $157K/yr

Develop and maintain automated deployment and configuration management solutions using Ansible ... virtual machine communications. * Support performance tuning and optimization of virtualized ...

Software Engineer

La Jolla, CA ยท On-site

$87K - $157K/yr

Develop and maintain automated deployment and configuration management solutions using Ansible ... virtual machine communications. * Support performance tuning and optimization of virtualized ...

Software Engineer

Cardiff By The Sea, CA ยท On-site

$87K - $157K/yr

Develop and maintain automated deployment and configuration management solutions using Ansible ... virtual machine communications. * Support performance tuning and optimization of virtualized ...

Software Engineer

Chula Vista, CA ยท On-site

$87K - $157K/yr

Develop and maintain automated deployment and configuration management solutions using Ansible ... virtual machine communications. * Support performance tuning and optimization of virtualized ...

Showing results 41-60

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 are the most commonly searched types of Virtual Machine jobs in California? The most popular types of Virtual Machine jobs in California are:
What are popular job titles related to Virtual Machine Manager jobs in California? For Virtual Machine Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Virtual Machine Manager jobs in California look for? The top searched job categories for Virtual Machine Manager jobs in California are:
What cities in California are hiring for Virtual Machine Manager jobs? Cities in California with the most Virtual Machine Manager job openings:
Infographic showing various Virtual Machine Manager job openings in California as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Infrastructure Solutions Architect- Staff Infrastructure

iFlow Inc

Palo Alto, CA โ€ข On-site

Contractor

Re-posted 9 days ago


Job description

Job Title: Staff Infrastructure Architect
Location: Palo Alto, CA
Duration: 6 Months
Experience: 7-15 Years
 
Description:
 
Responsibilities:
Cloud Solution Design: Architect reliable, scalable, and secure cloud systems (public, private, hybrid, multi-cloud) that meet current and future requirements.
Governance & Best Practices: Define cloud governance, cost optimization, and security frameworks; establish and enforce cloud best practices across teams.
Technology Evaluation: Recommend and select cloud providers and tools suitable for enterprise needs (e.g., AWS, Azure, GCP).
Facilitate organizational adoption of the cloud and manage migration and modernization initiatives, often managing related cultural and process changes.
Evaluate, recommend, and responsibly integrate AI-enhanced tooling into platform engineering workflows to improve efficiency, delivery quality, and operational intelligence.
Lead efforts with service owners to establish SLOs, define meaningful SLIs, and ensure systems consistently meet or exceed SLAs.
Champion and enforce security best practices across infrastructure, services, and operational workflows.
Reduce operational toil and drive a high degree of automation through Infrastructure-as-Code and GitOps-based delivery patterns.
Define, document, and advocate for CI/CD standards, governance models, and platform-wide best practices that support modern, scalable, and resilient delivery of cloud-based solutions.
Provide architectural leadership for large-scale, distributed systems, ensuring that infrastructure is scalable, reliable, and cost-effective.
Drive the design, implementation, and ongoing optimization of our cloud-based infrastructure, focusing on containers (Kubernetes) and virtual machine environments.
Leading the design and implementation of cloud networking solutions for production and development environments, ensuring scalability, high availability, and security across multi-cloud and hybrid environments.
Lead the technical strategy and roadmap for large-scale, cross-functional SRE initiatives that improve reliability, scalability, and developer productivity across enterprise systems.
Drive automation and observability improvements, using metrics and analytics to enhance performance, reliability, and efficiency.
Collaborate across Cloud, Platform, Security, and AI/ML teams to implement modern SRE components that ensure high availability and secure operations.
Analyze and troubleshoot complex systems, championing best practices in system design, incident management, and postmortem analysis.
Mentor and influence engineers across teams, fostering technical excellence and a culture of reliability engineering.
 
Requirements:
7+ years of experience in engineering, with at least 3+ years in a leadership or management role, overseeing teams focused on infrastructure, SRE, cloud platforms, and DevOps practices.
Proven expertise in managing large-scale, distributed infrastructure systems, including containerized environments (primarily Kubernetes), virtual machines, and cloud services (AWS, GCP).
Expertise in cloud networking, including VPCs, DNS, routing, security groups, VPNs, load balancing, and inter-cloud connectivity plus experience with Istio and service mesh technologies, including traffic management, observability, mTLS, and security features.
Proficiency in infrastructure automation and configuration management tools such as Terraform and Ansible.
Experience with ArgoCD and GitOps principles for automating Kubernetes-based deployments and managing infrastructure as code (IaC).
10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience
Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code.
Experience with infrastructure-as-code such as AWS CDK, AWS CloudFormation, Terraform or CrossPlane
Solid understanding of OpenTelemetry or other Observability implementation at scale.
Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP).
Outstanding problem-solving, communication, and teamwork skills, with the ability to influence across technical and interpersonal boundaries.
Architect, develop, and maintain peering and transit infrastructure, including routing policies, eDNS, cloud connectivity, CGNAT, and load balancer fleets.
Leverage Python scripting to automate repetitive engineering tasks and proactively mitigate customer impacts.
Manage and troubleshoot DNS infrastructure to ensure reliable performance.
Oversee and resolve issues related to cloud VPCs and connected network hardware.
Diagnose and resolve complex TCP/IP issues to maintain seamless network operations.
Collaborate with cross-functional teams to enhance infrastructure efficiency and support xAI’s AI platforms.
10+ years operating or architecting enterprise SaaS systems in cloud environments.
Awareness of AI-driven engineering and operational capabilities, including opportunities to leverage large language models (LLMs), automation, and intelligent tooling to improve developer productivity, reliability, and incident response.
Expert-level experience designing, deploying, and scaling container-based microservices platforms (e.g., Kubernetes/GKE, Docker, service mesh, observability, automated deployments).
Strong foundational knowledge of Linux/Unix systems, networking, and security protocols (HTTPS, TCP/IP, TLS/PKI, DNS, SMTP, SSH, NTP, etc.).
7+ years hands-on with public cloud platforms and 3+ years focused on Google Cloud Platform (GCP).
High proficiency in scripting and automation using Bash and/or Python.
Experience with modern code workflows, including branching strategies, release processes, and automated quality gates.
Hands-on experience with Infrastructure as Code (Terraform required; Helm and Ansible strongly preferred).
5+ years building and operating observability platforms, including metrics, logging, distributed tracing, and alerting (Prometheus, Grafana, Splunk, New Relic, etc.).
Experience designing and operating CI/CD pipelines using tools such as Jenkins, GitHub Actions, and/or ArgoCD.
Experience participating in 24/7 operations, incident response, developing runbooks, and producing high-quality platform documentation.