Insight Global

Insight Global

Website

TS/SCI Cleared Platform Engineer

Role

TS/SCI Cleared Platform Engineer

Job type

Full-time

Posted

11 hours ago

Salary

Not disclosed by employer

Job description

Must Haves

  • Active TS/SCI security clearance
  • 5+ years of development experience in a DevOps environment
  • Strong Kubernetes and container workflow experience, including building container images and deploying them through CI/CD pipelines (not just cluster administration)
  • 3+ years of experience with automation and infrastructure tools such as Terraform, Ansible, CloudFormation, or Puppet (Terraform strongly preferred)
  • 3+ years of experience managing Git-based version control systems and building new CI/CD pipelines (GitLab pipeline development experience is preferred)
  • Strong experience working with JSON/YAML/XML/Helm charts
  • Hands‑on experience developing and engineering CI/CD pipelines for Kubernetes platforms in either on‑prem environments (e.g., Rancher, RKE2) or AWS cloud environments (EKS, ECR, ECS)
  • Familiarity with container security practices, including how container images are scanned and validated within CI/CD pipelines (experience with CAS or Keycloak is a plus)
  • DoD 8570 Security+ or CISSP Certification

Plusses

  • Certifications in Agile, DevOps, or Cloud technologies

Day to Day

Insight Global is looking to hire a Platform Engineer in the Reston, VA area (hybrid; 3 days onsite) who will work hands‑on developing and automating CI/CD pipelines within an enterprise DevSecOps platform. This individual will build and package Kubernetes containers and engineer GitLab CI/CD pipelines that move those containers through automated build, security scanning, and deployment workflows. The role focuses on pipeline development and automation, ensuring containerized applications are delivered in a secure, repeatable, and compliant manner.

  • Depending on experience, the engineer will develop and support GitLab CI/CD pipelines for Kubernetes workloads running in either on‑prem environments (Rancher RKE2) and/or AWS cloud environments (EKS, ECR, ECS).
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