Virtual Networx
Devops Engineer
Dallas, Texas, USA · contract, third party
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About the role
- Job Title:DevOps Engineer Location:Dallas, TX (Onsite) Duration:Long Term Role Description Build and support CI/CD pipelines for cloud-native applications, primarily in Azure, partnering with development, QA, security, and operations teams to follow DevOps practices. Implement and maintain infrastructure provisioning and deployments using infrastructure as
- code, and assist with post-deployment validation, rollback, and recovery activities. Troubleshoot pipeline and release issues, participate in incident response, and document runbooks, standards, and lessons learned. Required Skills Working knowledge of Microsoft Azure services and deployment targets (e.g., App Service, AKS, Functions) and Azure DevOps or
Requirements
- Working knowledge of Microsoft Azure services and deployment targets (e.g., App Service, AKS, Functions) and Azure DevOps or GitHub for code and pipelines.
Nice to have
- Required Skills Working knowledge of Microsoft Azure services and deployment targets (e.g., App Service, AKS, Functions) and Azure DevOps or GitHub for code and pipelines.
- Hands-on experience configuring CI/CD pipelines and automating tasks using scripting (PowerShell, Bash, Python) plus solid Git fundamentals (branching, pull requests, code reviews).
- Familiarity with monitoring and logging (Azure Monitor, Application Insights) and ability to diagnose deployment failures in collaboration with senior engineers.
- Nice-to-have Skills Exposure to DevSecOps practices such as secrets management (Key Vault), managed identities, RBAC, and integrating basic security scans into pipelines.
- Experience with Terraform, Bicep/ARM, or configuration/orchestration tools (Ansible, Chef) and awareness of automated testing integration in pipelines.
- Understanding of agile delivery and release practices, and familiarity with compliance or audit considerations in deployments.
This listing is sourced directly from Virtual Networx's careers page and normalized into a canonical job model.