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Cybersecurity Engineer- Cloud Security

Jobs via Dice
Full Timemid
Alexandria, Virginia, USPosted April 7, 2026

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PythonAWSAzureTerraformGitLabCI/CDDevOps

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Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, InterSec Inc., is seeking the following. Apply via Dice today!

Position 1:

Title: Cybersecurity Engineer – Cloud Security

Position level: experience: 2+ years

Job Profile Summary

We are seeking a highly skilled Engineer to join our technology team. The ideal candidate will excel in designing secure, scalable, and automated cloud solutions, with deep expertise in PYTHON, AWS, Container, CI/CD-GITLAB and Infrastructure as code (IaC) with security knowledge delivery practices. This role will focus on building modern cloud infrastructure, automating deployments, enhancing security posture, and ensuring seamless collaboration across engineering teams.

Job Description

Essential Duties and Responsibilities

  • Automate operational workflows using Python.
  • Build and manage CI/CD pipelines using GitLab.
  • Manage AWS services and ensure secure, scalable cloud environments.
  • Build, deploy, and automate containerized applications.
  • Develop Infrastructure as Code using Terraform and CloudFormation.
  • Automation of cloud security tools (e.g., Wiz) in Gitlab CICD pipeline.
  • Troubleshoot and resolve pipeline, cloud, and infrastructure issues.
  • Collaborate with cross-functional engineering and security teams.

Required Technical Skills

  • Proficiency in Python scripting.
  • Strong GitLab CI/CD pipeline development.
  • Strong hands-on experience with AWS, including:
  • IAM
  • ECS / EKS
  • EC2
  • S3
  • CloudTrail
  • CloudWatch
  • CloudFront
  • VPC and AWS networking
  • Infrastructure as Code with Terraform and CloudFormation.
  • Strong container development and automation experience.
  • Experience with cloud security tools (e.g., Wiz).
  • Exposure to Azure (preferred).
  • Excellent communication and interpersonal skills.
  • Strong analytical and problem-solving capabilities.
  • Ability to collaborate effectively across diverse teams.

Preferred Qualifications

  • AWS certifications (Solutions Architect, DevOps Engineer, etc.).
  • Experience with AI/ML tools:
  • Familiarity with generative AI integrations.
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