Cloud Infrastructure Engineer

Raleigh, NC, US • Posted 2 days ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Innovation
  • Collaboration
  • Teamwork
  • IaaS
  • Software Development
  • Scripting
  • Provisioning
  • Workflow
  • Dashboard
  • Computer Science
  • DevOps
  • Python
  • Terraform
  • Linux
  • Shell Scripting
  • Computer Networking
  • Git
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • OCI
  • VMware
  • Virtualization
  • Configuration Management
  • Ansible
  • Kubernetes
  • Docker
  • Continuous Integration
  • Continuous Delivery
  • Grafana
  • Artificial Intelligence
  • Qualys

Summary

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

We are looking for a Cloud Infrastructure Engineer with an interest in software development, infrastructure automation, and cloud technologies.

This role focuses on building internal tools and automation for infrastructure provisioning, deployment, monitoring, and operations.

Key Responsibilities

Work within the infrastructure team to build reliable and scalable tools and platforms for engineers.

Develop Python-based automation tools, scripts, services, and APIs.

Build and maintain Infrastructure as Code using Terraform.

Automate Linux provisioning, configuration, deployment, and operational workflows.

Develop internal dashboards and tools for monitoring and troubleshooting.

Support CI/CD pipelines, cloud platforms, VMware, and Linux environments.

Troubleshoot infrastructure, networking, and automation issues.

Required Skills & Qualifications

Bachelor's degree in Computer Science or a related field, or equivalent experience.

1+ years of experience in software, cloud, DevOps, SRE, or infrastructure engineering.

Programming experience with Python.

Familiarity with Terraform and Infrastructure as Code.

Good understanding of Linux, Shell scripting, networking, APIs, and Git.

Familiarity with at least one cloud platform such as AWS, Azure, or OCI.

Familiarity with VMware virtualization and configuration management tools such as Ansible.

Preferred Qualifications

Experience with Go, Kubernetes, Docker, or CI/CD tools.

Familiarity with monitoring tools such as Prometheus, Grafana, or OpenSearch.

Interest in AI development and AI-assisted infrastructure automation.

Experience building AI agents or agent-based automation is a plus.

Familiarity with AI development tools such as Cursor, Claude Code, Codex, or Devin.

Qualys is an Equal Opportunity Employer, please see our EEO policy.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX14d7a4
  • Position Id: 79e08717fffba0e4da796f3c5d513018
  • Posted 2 days ago
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