Zadentech

Zadentech

DevSecOps Engineer (Infra/GitOps)

Huntsville, AL

Sponsorship not specifiedDetected 19 days ago
Cloud PlatformsKubernetesTerraformHelmCI/CDLinux

About the role

  • You'll work hands-on with containerization, CI/CD pipelines, and secure multi-cloud environments while implementing DoD hardening standards.

Responsibilities

  • Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless CI/CD pipeline operations
  • Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless

Skills

  • About Zaden Technologies, Inc.

Visa & Work Authorization

  • Citizenship and a security clearance (secret or above) Experience with Containerization and Kubernetes Terraform experience Helm experience CI/CD Experience (GitLab preferred) Strong troubleshooting skills Self-start

This listing is sourced directly from Zadentech's careers page and normalized into a canonical job model.