Active DoD TS/SCI with CI Poly security clearance required.
5+ years of experience with Kubernetes infrastructure.
Current IAM Level II certification for DOD 8570 IAT compliance.
Strong knowledge of Kubernetes networking and service meshes.
Hands-on experience with CI/CD and GitOps tools.
Proficiency in Infrastructure as Code tools like Terraform or CloudFormation.
Strong Linux/Unix administration and networking skills.
Scripting skills in Python, Go, or Bash.
Responsibilities
Design, deploy, secure, and maintain scalable Kubernetes clusters.
Build and maintain automated CI/CD pipelines using GitOps practices.
Provision infrastructure as code and manage Kubernetes deployments.
Secure Kubernetes environments with RBAC and vulnerability scanning.
Implement monitoring, logging, and troubleshooting across the stack.
Write automation scripts and mentor junior engineers.
Travel up to 20% for on-site installations and troubleshooting.
Benefits
Full-time, on-site employment.
Opportunity to work with cutting-edge AI infrastructure.
Collaborative team environment focused on platform reliability and security.
Mentorship opportunities for career development.
Engagement in technical initiatives and leadership roles.
Full Job Description
TITLE: Platform Engineer
LOCATION: McLean, VA
CLEARANCE REQUIRED: Active DoD TS/SCI with CI Poly
EMPLOYMENT TYPE: Full-time, On-site
TRAVEL: 20%
POSITION SUMMARY
Modern Government Solutions (MGS) is seeking a Platform Engineer to design, deploy, maintain, and secure the infrastructure supporting our Artificial Intelligence (AI) workloads. You will join a team of platform engineers building and securing enterprise-grade infrastructure and development pipelines, collaborating across the organization to deliver the highest standards in platform reliability and security.
RESPONSIBILITIES (not limited to):
Design, deploy, secure, and maintain highly available, scalable Kubernetes clusters (EKS, AKS, GKE, OpenShift, or self-managed), including control plane and worker node architecture.
Build and maintain automated CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions, Tekton, or Argo Workflows) following GitOps practices with tools such as Argo CD.
Provision infrastructure as code using Terraform, Pulumi, or CloudFormation, and manage Kubernetes deployments with Helm and Kustomize.
Secure Kubernetes environments through RBAC, admission controllers, vulnerability scanning, and secret management tools such as Vault or AWS Secrets Manager.
Implement monitoring, logging, alerting, and distributed tracing (Prometheus, Grafana, ELK/OpenSearch, Datadog, or Splunk) and troubleshoot issues across the full stack.
Write automation scripts and custom tooling in Python, Go, or Bash; mentor junior engineers and lead technical initiatives.
Travel up to 20% of the time for on-site installations, maintenance, and troubleshooting at customer sites or data centers.
REQUIRED SKILLS AND QUALIFICATIONS
Must possess an active DoD TS/SCI with CI Poly security clearance.
5+ years of professional experience designing, deploying, securing, and maintaining Kubernetes-based infrastructure.
Current IAM Level II certification to satisfy DOD 8570 IAT requirements.
Strong knowledge of Kubernetes networking, including CNI plugins (Calico, Cilium), network policies, service meshes (Istio, Linkerd), and DNS.
Hands-on CI/CD and GitOps experience with industry-standard tools.
Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and Kubernetes packaging tools (Helm, Kustomize).
Strong Linux/Unix administration skills and solid grasp of core networking protocols (TCP/IP, DNS, HTTP, load balancing).
Scripting ability in Python, Go, or Bash, and expert-level Git and collaborative development workflows.
Deep understanding of DevOps and Site Reliability Engineering (SRE) principles, with strong problem-solving, communication, and collaboration skills.