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Remote Service Virtualization Jobs in Dallas, TX

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Remote Service Virtualization information

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$10

$58

$87

How much do remote service virtualization jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote service virtualization in Dallas, TX is $58.92, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.31 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in remote service virtualization, and how can they be addressed?

Professionals in remote service virtualization often encounter challenges such as maintaining consistent communication with distributed teams, ensuring data security, and managing complex virtual environments. To address these issues, it's important to adopt robust collaboration tools, establish clear communication protocols, and follow best practices for secure remote access. Additionally, ongoing training and proactive monitoring can help teams quickly resolve issues and improve the reliability of virtualized services.

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

To succeed as a Remote Service Virtualization Engineer, you need a solid background in software development, API management, and network protocols, usually with a degree in computer science or a related field. Familiarity with service virtualization tools like CA Service Virtualization, Parasoft Virtualize, or IBM Rational Test Virtualization Server, as well as experience with CI/CD systems, is highly beneficial. Strong problem-solving skills, communication, and the ability to collaborate remotely are critical soft skills in this role. These competencies enable efficient simulation, testing, and integration of services, which are vital for accelerating development cycles and ensuring software quality in distributed teams.

What is remote service virtualization?

Remote service virtualization is a software testing technique that simulates the behavior of dependent systems or services that are not readily available during development and testing. By creating virtual representations of these services, teams can test and develop their applications without needing access to the actual external resources, such as databases, APIs, or third-party platforms. This approach helps reduce bottlenecks, enables parallel development, and improves the quality and speed of software delivery, especially in complex, distributed environments.

What is the difference between Remote Service Virtualization vs Service Virtualization?

AspectRemote Service VirtualizationService Virtualization
DefinitionSimulating services remotely to test applications without accessing live systemsSimulating services locally or on-premises for testing and development
Work EnvironmentCloud-based or distributed environmentsLocal servers or on-premises setups
Required SkillsKnowledge of cloud platforms, network protocols, and virtualization toolsUnderstanding of service protocols, API testing, and virtualization tools
Industry UsageCommon in distributed, cloud, and remote testing scenariosUsed in development labs, on-premises testing, and integration environments

Remote Service Virtualization focuses on simulating services in remote or cloud environments, enabling testing across distributed systems. Service Virtualization generally refers to local or on-premises simulation of services for development and testing. Both roles require similar skills but differ mainly in deployment environment and use cases.

What are popular job titles related to Remote Service Virtualization jobs in Dallas, TX? For Remote Service Virtualization jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Service Virtualization jobs in Dallas, TX look for? The top searched job categories for Remote Service Virtualization jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Service Virtualization jobs? Cities near Dallas, TX with the most Remote Service Virtualization job openings:
Remote Service Virtualization jobs near you
Infographic showing various Remote Service Virtualization job openings in Dallas, TX as of June 2026, with employment types broken down into 50% Full Time, 39% Part Time, 3% Temporary, and 8% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $122,555 per year, or $58.9 per hour.
Lead Kubernetes/Cloud Engineer

Lead Kubernetes/Cloud Engineer

Request Technology, LLC

Dallas, TX • Remote

$55.50 - $74/hr

Other

Posted 19 days ago

Job description

***Hybrid, 3 days onsite, 2 days remote***

***We are unable to sponsor as this is a permanent full-time role***

Responsibilities:

  • Design, configure, implement and manage Kubernetes clusters and maintain a fully automated workflow for provisioning and managing a complex, highly available container orchestration environment using infrastructure as code
  • Develop and maintain Kubernetes operators, controllers, and custom resources to extend cluster functionality and automate application lifecycle management
  • Manage DevOps development activities and complex development tasks that will involve working with tools such as Docker, Kafka, container runtimes, and Kubernetes ecosystem tools
  • Lead and participate in Kubernetes cluster build-outs, upgrades, software installation, maintenance and support, including but not limited to, patches, security fixes, end-of-life preparation, and version upgrades
  • Implement and manage Kubernetes networking solutions, service mesh architectures, runtime security policies, and RBAC configurations to ensure secure and efficient cluster operations
  • Ensure the reliability of Kubernetes platforms and containerized services your area of responsibility provide and manage to both specific and implied SLAs to help the organization achieve both internal and external quality standard excellence for the cloud platform
  • Assess and plan for capacity needs within Kubernetes clusters and the underlying cloud platform and forecast accordingly
  • Implement and manage initiatives within your assigned area of responsibility with accountability for results and compliance with all controls and security requirements

Qualifications

  • Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, Engineering, etc.), or equivalent combination of education and experience required
  • 7+ years experience in IT systems installation, operations, administration, and maintenance of cloud systems / virtualized servers, with demonstrated significant experience in Kubernetes and container orchestration platforms
  • Extensive hands-on experience with Kubernetes cluster creation, maintenance, support, and administration in production environments
  • Deep understanding and practical implementation experience with Kubernetes networking (CNI plugins, service types, ingress controllers), runtime security (Pod Security Standards, OPA/Gatekeeper, network policies), and Role-Based Access Control (RBAC)
  • Experience with architecting, implementing and maintaining highly available mission critical Kubernetes environments for 24/7 availability
  • Production-level hands-on experience with AWS cloud services and implementing Kubernetes on AWS (EKS or self-managed clusters)
  • Extensive experience with Infrastructure as Code using Terraform for provisioning and managing cloud infrastructure and Kubernetes resources
  • Strong hands-on development skills with demonstrable coding experience in Go or Python (Go strongly preferred for Kubernetes operator/controller development). Candidates must be able to provide specific examples of production code they have written.
  • Hands-on experience with Kubernetes ecosystem tools including: Helm, kubectl, container runtimes (containerd, CRI-O), and monitoring/observability tools
  • Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
  • Experience with version control using GitHub or similar platforms
  • Experience with configuration management tools such as Ansible, Puppet, or Chef
  • Hands-on experience with Kubernetes operator/controller development using operator frameworks (Kubebuilder, Operator SDK, or similar). This can be demonstrated through either contributions to open-source Cloud Native Computing Foundation (CNCF) projects, OR Development of in-house Kubernetes operators/controllers. Note: If you have contributed to open-source CNCF projects, please include your GitHub profile link or links to notable Pull Requests in your resume.
  • Experience with Rancher and RKE2 (Rancher Kubernetes Engine 2) Kubernetes distribution

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