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 CloudFormation Experience 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, Splunk AWS 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: 220000-270000 PI57400e6b8e65-25448-412203995c143e31-5e48-4549-b638-05792d185386 Platform Storage Engineer – Chantilly, VA TS/SCI with CI Polygraph DCI Job Requirement for: AI Platform Engineer Locations: Chantilly, VA Pay: $220,000.00 - $270,000.00 per year Job description: Job Type: Full-time DCI Job Requirement for: AI Platform Engineer Locations: Chantilly, VA Job 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.