DevOps Infrastructure Automation Engineer
Listed on 2025-12-01
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IT/Tech
Systems Engineer, Cloud Computing, SRE/Site Reliability, IT Project Manager
Benefits:
Skill Development
Competitive salary
Opportunity for advancement
Dev Ops + Infrastructure Automation Engineer
Location:
San Antonio, TX (Hybrid)
About the Role
Are you passionate about transforming complex infrastructure into elegant, automated solutions? We’re seeking a Dev Ops + Infrastructure Automation Engineer to lead the design and implementation of scalable, secure, and fully automated provisioning pipelines across AWS and Azure environments.
This role is ideal for engineers who embrace automation-first principles, write clean, efficient code, and thrive at the intersection of Infrastructure, Development, and Dev Ops excellence.
Roles and Responsbilities:
Build and optimize fully automated infrastructure pipelines for VM provisioning, config management, and post-deployment activities (DSC, Ansible, extensions).
Develop infrastructure APIs and automation workflows using Python, Ansible, and JavaScript.
Engineer and manage Terraform-based IaC for both AWS and Azure environments.
Integrate with CI/CD ecosystems:
Azure Dev Ops, Git Hub Actions, Jenkins, etc.
Collaborate with cloud architects, application teams, and platform engineers to streamline deployment workflows.
Ensure compliance with cloud security best practices, network configs, and cost optimization.
Embrace Agile delivery, iterative development, and continuous improvement culture.
Qualifications:
5+ years in Dev Ops, Infra Automation, or Software Engineering roles.
Expertise in Python, Ansible, and at least one scripting language (JavaScript, Shell, etc.).
Deep experience with Terraform, Git, and cloud-native automation.
Hands-on with CI/CD tools like Azure Dev Ops, Git Hub Actions, Jenkins.
Exposure to vRA/vRO or similar infrastructure build automation tools (a plus).
Familiarity with cloud networking (VNet, NSG, Load Balancer), security controls, and cloud cost best practices.
Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location
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