CS

Cloud Platform Engineer - AWS/Azure

Calibre Systems
PlatformOnsite • Alexandria, Virginia, Walker Lane 6361$85k-125kPosted about 3 hours ago

Job Description

We are CALIBRE, an employee-owned company focused on mission-driven solutions and digital transformation. We are looking for a Cloud Platform Engineer to help us design, deploy, and secure cloud-native and Kubernetes-based platforms specifically for our government clients. In this role, you will play a vital part in constructing and automating Linux and hybrid cloud infrastructure to support secure and scalable mission objectives. We offer an engaging work environment, career growth opportunities, and the chance to work on groundbreaking projects in classified and air-gapped environments.

- Strong experience in Linux infrastructure and cloud-native environments
- Hands-on Kubernetes administration with at least 2 years of experience
- Development and management of CI/CD pipelines for a minimum of 3 years using platforms like GitLab, Jenkins, and ArgoCD
- Proficiency in automation tools including Ansible, Terraform, Python, and Bash
- Experience in securing and troubleshooting distributed systems
- Familiarity with DoD security frameworks such as STIG and RMF
- Excellent communication and mentoring skills
- DoD 8570 IAT Level II certification (Security+ or equivalent) is mandatory
- U.S. Citizenship and a TS/SCI security clearance are required
- Over 4 years of infrastructure engineering experience
- At least 2 years of Kubernetes administration
- Minimum of 3 years in CI/CD pipeline development

- Design and deploy secure and scalable Linux and Kubernetes infrastructures tailored for government environments
- Assist client teams in adopting cloud technologies, modernizing infrastructure, and following DevSecOps best practices
- Utilize automation tools such as Ansible, Terraform, and CI/CD to enhance infrastructure operations
- Ensure adherence to cybersecurity frameworks like STIG, RMF, and other DoD requirements
- Troubleshoot and enhance performance across complex, distributed systems
- Provide mentorship to client teams regarding Kubernetes operations, infrastructure automation, and secure cloud methodologies

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