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Remote Service Virtualization information

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 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 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 Utah? For Remote Service Virtualization jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Service Virtualization jobs in Utah look for? The top searched job categories for Remote Service Virtualization jobs in Utah are:
What cities in Utah are hiring for Remote Service Virtualization jobs? Cities in Utah with the most Remote Service Virtualization job openings:
Remote Service Virtualization jobs near you
DevOps Engineer- Contour Cloud

DevOps Engineer- Contour Cloud

Contour Data Solutions

Salt Lake City, UT • On-site, Remote

$150K - $200K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Company: Contour Data Solutions, LLC

Role: DevOps Engineer – Contour Cloud

Location: Remote / Hybrid (US‑based preferred)

Department: Cloud & Infrastructure Engineering

Reports To: Head of Engineering / Infrastructure/Cloud

Salary Range: $150K-$200K

Role Overview

Contour Data Solutions is seeking a DevOps Engineer to support and evolve Contour Cloud, our private and hybrid cloud platform, and to work closely with the Cinch Software development team on cloud orchestration and platform automation.

This role sits at the intersection of cloud infrastructure, software development, network engineering, and storage platforms, with a heavy emphasis on Linux-based systems, virtualization, automation, and observability. The ideal candidate is hands-on, infrastructure-first, and comfortable bridging development and operations in a production cloud environment.

Key Responsibilities

Cloud & Platform Engineering

  • Design, deploy, and maintain Linux-based cloud infrastructure supporting ContourCloud workloads
  • Build and automate cloud deployments, platform services, and infrastructure workflows through scripting and code
  • Support and enhance virtualization platforms, with a primary focus on Xen/XCP-ng; VMware, NSX and vSphere experience
  • Build, deploy, and maintain physical and virtual server platforms

Cinch Software Integration

  • Work daily with Cinch Software to:
    • Enable cloud orchestration and automation
    • Ensure reliable cloud deployments and management workflows
    • Improve integration between software-driven automation and infrastructure reali

DevOps & Automation

  • Collaborate closely with the Cinch Software development team to support:
    • Cloud orchestration
    • Platform integration
    • Deployment automation
    • Infrastructure-as-Code–style workflows
  • Develop and maintain automation using scripting and programming languages (e.g., Bash, Python, Go, etc.)
  • Improve deployment consistency, reliability, and repeatability across environments

Networking & IP Management

  • Work directly with the Network Engineering team on:
    • IP address management (IPAM)
    • Network provisioning and lifecycle
    • Cloud and data center network integration
  • Leverage NetBox for IPAM, DCIM, and infrastructure modeling

Monitoring, Observability & Operations

  • Implement and maintain monitoring and observability platforms including:
    • Zabbix for infrastructure monitoring
    • Grafana for visualization and dashboards
  • Assist in capacity planning, performance tuning, and fault analysis
  • Participate in platform reliability and operational readiness initiatives

Storage & Systems

  • Design, build, and maintain server and storage platforms, including:
    • ZFS-based storage architectures
    • TrueNAS (Core or SCALE) platforms
  • Support data integrity, performance, and scalability requirements across cloud and customer environments

Required Skills & Experience

  • Strong Linux systems administration experience (required)
  • Proven experience with:
    • Scripting and automation
    • Infrastructure or platform engineering in production environments
  • Hands-on experience with:
    • Xen virtualization
    • XCP-ng (preferred)
    • VMware NSX & vSphere
  • Experience working with:
    • NetBox (IPAM / DCIM)
    • Zabbix
    • Grafana
  • Experience building and supporting:
    • Physical servers
    • Virtual infrastructure
    • ZFS-based storage platforms
    • TrueNAS
  • Ability to work cross-functionally with:
    • Software development teams
    • Network engineering teams
    • Infrastructure and operations teams

Preferred Qualifications

  • Experience in private cloud or MSP environments
  • Familiarity with cloud orchestration and self-service platform design
  • Understanding of DevOps best practices across infrastructure and application lifecycles
  • Strong documentation and communication skills
  • Experience supporting multi-tenant or customer-facing platforms

How This Role Is Different

  • Not a pure CI/CD or app DevOps role
  • Not isolated infrastructure engineering
  • This is a platform DevOps role, tightly coupled to:
    • Product-driven cloud orchestration (Cinch)
    • Real production infrastructure
    • Networking, storage, and observability

Why Contour Cloud?

  • Work on a real, production private cloud platform
  • Direct impact on cloud architecture, automation, and platform design
  • Tight collaboration with product development around Cinch Software
  • Engineering-first culture with deep infrastructure expertise

Apply