AI Platform Engineer - TS/SCI with CI Poly
Core
Design, deploy, secure, and maintain scalable Kubernetes environments and CI/CD pipelines to support advanced AI workloads in a mission-critical government environment.
Role type
Senior AI Platform Engineer (Kubernetes & Cloud Infrastructure)
Builds
Highly available Kubernetes clusters, containerized AI workloads, and automated deployment pipelines
Domain
Government contracting, Cloud-native infrastructure, AI platform engineering
Deliverable
infrastructure
Required skills
Kubernetes administration, Docker containerization, CI/CD pipeline design, Infrastructure as Code (Terraform/Pulumi), Python/Go/Bash scripting, Linux/Unix administration, Networking (TCP/IP, DNS, Load Balancing), GitOps, Observability (Prometheus/Grafana/ELK)
Preferred skills
CKA/CKAD/CKS certifications, Kubernetes Operators/CRDs, Internal Developer Platforms (IDPs), Unit/Integration testing
Technologies
Kubernetes (EKS/AKS/GKE/OpenShift), Docker, Terraform, Pulumi, CloudFormation, Jenkins, GitLab CI/CD, GitHub Actions, Tekton, Argo Workflows, Argo CD, Prometheus, Grafana, ELK, OpenSearch, Datadog, Splunk
Responsibilities
Design and manage Kubernetes control planes and worker nodes; Implement security controls including RBAC, admission controllers, and vulnerability scanning; Develop and maintain CI/CD pipelines using GitOps methodologies; Troubleshoot complex performance issues and optimize resource utilization; Mentor junior engineers and lead technical initiatives
Seniority
Senior, hands-on IC with leadership responsibilities
