Platform Engineer McLean, VA
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Platform Storage Engineer Chantilly, VATS/SCI with CI PolygraphDCI Job Requirement for: AI Platform Engineer
Locations: Chantilly, VA
Pay: $220,000.00 - $270,000.00 per year
Job description
Job Type: Full-timeDCI Job Requirement for:
AI Platform Engineer
Locations: Chantilly, VAJob Description
Serves as a Platform Engineer Provide Technical Cluster Management: Design, deploy, secure, maintain, and upgrade scalable Kubernetes clusters Understand control plane components, worker nodes, and their interactions Provide Containerization & Orchestration support Secure Kubernetes environments Diagnose and resolve complex performance issues within Kubernetes Optimize resource utilization, and implement best practices for cluster tuning Troubleshooting issues across the entire Kubernetes stack Design, implement, and maintain robust, automated CI/CD pipelines for: Deploying containerized applications to Kubernetes Provision and manage infrastructure declaratively Use languages like Python, Go, Bash, or similar, to automating tasks
Qualifications:
BS in Computer Science / Engineering (or related career field)
Extensive experience designing, deploying, securing, maintaining, and upgrading:
- Highly available, scalable Kubernetes clusters
- Ex. EKS, AKS, GKE, OpenShift, or self-managed)
- Understanding of control plane components, worker nodes, and their interactions
- Proficient with Docker and containerization best practices
- Advanced knowledge of Kubernetes primitives like:
- Pods, Deployments, Stateful
- Sets, Services, Ingress, ConfigMapsSecrets, Persistent Volumes, and Namespaces
- Strong understanding of Kubernetes networking concepts, policies, meshes
- Along with DNS within and outside the cluster
- Expertise in securing Kubernetes environments, including:
- RBAC and Pod Security Policies/Admission Controllers
- Vulnerability scanning, secret management
- Network security
- Ability to diagnose and resolve complex performance issues within Kubernetes
- Experience IDing and resolving issues across Kubernetes stack
- Hands-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 pipelines
- For deploying containerized applications to Kubernetes, Proficiency with IaC tools such as Terraform, Pulumi, or Cloud
- FormationExperience with Helm charts for Kubernetes packaging and deployment
- Strong scripting skills in languages like:
- Python, Go, Bash, or similar
- Practical experience with GitOps workflows and tools
- Experience with Prometheus, Grafana, ELK stack/OpenSearch, Datadog, SplunkAWS Certified DevOps Engineer
- Azure DevOps Engineer
- Have current IAM Level II to satisfy DOD 8570 IAT requirements
Experience: 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 Requirements
Clearance: Active TS/SCI with CI Polygraph
Salary: $220,000-$270,000
Compensation details: 220000-270000PI82a86cd419c7-26289-41220399