ClearanceJobs
Senior Platform Engineer
Location: McLean, Virginia (On/Off-Site) Job Type: Full-time Serve as a Senior Platform Engineer Design, deploy, maintain, and secure platform infrastructure. Support data integration efforts Build, maintain, and optimize underlying infrastructure to support Artificial Intelligence (AI) workloads. Qualifications: Cluster Management: Extensive experience with Kubernetes clusters to include: designing, deploying, securing, maintaining, and upgrading highly available and scalable (e.g., EKS, AKS, GKE, OpenShift, or self-managed) including the control plane components, worker nodes, and their interactions. Containerization & Orchestration: Proficient with Docker and containerization best practices. Networking: Strong understanding of Kubernetes networking concepts. Security: Expertise in securing Kubernetes environments and network security. Performance & Optimization: Optimize resources and implement best practices for cluster tuning. CI/CD Tooling: Hands-on experience with popular CI/CD platforms like Jenkins, GitLab CI/CD. Infrastructure as Code (IaC): Proficiency with tools such as Terraform, Pulumi, or CloudFormation. Experience with Helm charts and customize for Kubernetes application packaging and deployment. Automation Scripting: Strong scripting skills in languages like Python, Go, Bash, or similar. Linux/Unix: Background in Linux, including networking, file systems, and process management. Relevant certifications such as: CKA, CKAD, CKS, AWS Certified DevOps Engineer, Azure DevOps Engineer Expert. Additional Qualifications: Experience with Kubernetes operators, custom resource definitions (CRDs). Building internal developer platforms (IDPs). Travel up to 20% of the time, as required, to perform on-site installations, maintenance. Have current IAM Level II to satisfy DOD 8570 IAT requirements. Active DoD TS/SCI with a Counterintelligence Polygraph (CIP) Clearance.
Location: McLean, Virginia (On/Off-Site) Job Type: Full-time Serve as a Senior Platform Engineer Design, deploy, maintain, and secure platform infrastructure. Support data integration efforts Build, maintain, and optimize underlying infrastructure to support Artificial Intelligence (AI) workloads. Qualifications: Cluster Management: Extensive experience with Kubernetes clusters to include: designing, deploying, securing, maintaining, and upgrading highly available and scalable (e.g., EKS, AKS, GKE, OpenShift, or self-managed) including the control plane components, worker nodes, and their interactions. Containerization & Orchestration: Proficient with Docker and containerization best practices. Networking: Strong understanding of Kubernetes networking concepts. Security: Expertise in securing Kubernetes environments and network security. Performance & Optimization: Optimize resources and implement best practices for cluster tuning. CI/CD Tooling: Hands-on experience with popular CI/CD platforms like Jenkins, GitLab CI/CD. Infrastructure as Code (IaC): Proficiency with tools such as Terraform, Pulumi, or CloudFormation. Experience with Helm charts and customize for Kubernetes application packaging and deployment. Automation Scripting: Strong scripting skills in languages like Python, Go, Bash, or similar. Linux/Unix: Background in Linux, including networking, file systems, and process management. Relevant certifications such as: CKA, CKAD, CKS, AWS Certified DevOps Engineer, Azure DevOps Engineer Expert. Additional Qualifications: Experience with Kubernetes operators, custom resource definitions (CRDs). Building internal developer platforms (IDPs). Travel up to 20% of the time, as required, to perform on-site installations, maintenance. Have current IAM Level II to satisfy DOD 8570 IAT requirements. Active DoD TS/SCI with a Counterintelligence Polygraph (CIP) Clearance.