DevOps Engineer

VTGChantilly, VA

About The Position

We are seeking a highly motivated and experienced DevOps Engineer with a minimum of 5 years of hands-on experience in building, automating, and maintaining scalable infrastructure and deployment pipelines. The ideal candidate will have a strong background in cloud technologies, CI/CD, and infrastructure as code, with a passion for improving system reliability and performance.

Requirements

  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or related roles
  • Strong experience with cloud platforms (AWS, Azure, or GCP)
  • Proficiency in scripting and programming languages (e.g., Python, Bash, or Go)
  • Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions)
  • Experience with containerization tools (Docker) and orchestration platforms (Kubernetes)
  • Familiarity with Infrastructure as Code (Terraform, CloudFormation, or ARM templates)
  • Experience with version control systems (Git)
  • Strong understanding of Linux/Unix systems

Responsibilities

  • Design, implement, and manage CI/CD pipelines to support rapid and reliable application deployments
  • Build and maintain scalable, secure, and highly available cloud infrastructure (AWS, Azure, or GCP)
  • Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
  • Monitor system performance, availability, and reliability using tools like Prometheus, Grafana, or CloudWatch
  • Collaborate with development, QA, and security teams to streamline release processes
  • Implement and maintain containerization and orchestration solutions (Docker, Kubernetes)
  • Troubleshoot system issues across environments and implement solutions to prevent recurrence
  • Ensure compliance with security best practices and organizational policies
  • Optimize cost, performance, and scalability of cloud environments
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