Platform Engineer McLean, VA

Platform Storage Engineer Chantilly, VATS/SCI with CI PolygraphDCI Job Requirement for:AI Platform EngineerLocations: Chantilly, VAPay:$220,000.00 - $270,000.00 per yearJob description:Job Type: Full-timeDCI Job Requirement for:AI Platform EngineerLocations: Chantilly, VAJob DescriptionServes as a Platform EngineerProvide Technical Cluster Management:Design, deploy, secure, maintain, and upgrade scalable Kubernetes clustersUnderstand control plane components, worker nodes, and their interactionsProvide Containerization & Orchestration supportSecure Kubernetes environmentsDiagnose and resolve complex performance issues within KubernetesOptimize resource utilization, and implement best practices for cluster tuningTroubleshooting issues across the entire Kubernetes stackDesign, implement, and maintain robust, automated CI/CD pipelines for:Deploying containerized applications to KubernetesProvision and manage infrastructure declarativelyUse languages like Python, Go, Bash, or similar, to automating tasksQualifications:BS in Computer Science / Engineering (or related career field)Extensive experience designing, deploying, securing, maintaining, and upgrading:Highly available, scalable Kubernetes clustersEx. EKS, AKS, GKE, OpenShift, or self-managed)Understanding of control plane components, worker nodes, and their interactionsProficient with Docker and containerization best practicesAdvanced knowledge of Kubernetes primitives like:Pods, Deployments, StatefulSets, Services, Ingress, ConfigMapsSecrets, Persistent Volumes, and NamespacesStrong understanding of Kubernetes networking concepts, policies, meshesAlong with DNS within and outside the clusterExpertise in securing Kubernetes environments, including:RBAC and Pod Security Policies/Admission ControllersVulnerability scanning, secret managementNetwork securityAbility to diagnose and resolve complex performance issues within KubernetesExperience IDing and resolving issues across Kubernetes stackHands-on experience with popular CI/CD platforms like:Jenkins, GitLab CI/CD, GitHub Actions, Tekton, Argo Workflows, etc.Ability to design, implement, and maintain robust, automated CI/CD pipelinesFor deploying containerized applications to Kubernetes,Proficiency with IaC tools such as Terraform, Pulumi, or CloudFormationExperience with Helm charts for Kubernetes packaging and deploymentStrong scripting skills in languages like:Python, Go, Bash, or similarPractical experience with GitOps workflows and toolsExperience with Prometheus, Grafana, ELK stack/OpenSearch, Datadog, SplunkAWS Certified DevOps EngineerAzure DevOps EngineerHave current IAM Level II to satisfy DOD 8570 IAT requirementsExperience:designing, deploying, maintaining Kubernetes clusters: 5 years (Preferred)Kubernetes primitives : 5 years (Preferred)securing Kubernetes environments: 5 years (Preferred)designing, implementing maintaining CI/CD pipelines : 5 years (Preferred)Python and/or Go programming : 5 years (Preferred)Docker and containerization : 5 years (Preferred)Ability to travel up to 20% of the time, as required, to Clearance RequirementsClearance: Active TS/SCI with CI PolygraphSalary: $220,000-$270,000Compensation details:220000-270000PI82a86cd419c7-26289-41220399