{"schemaVersion":"jobsearcher.job.v1","id":"bcb6d3ff3751bb5d0fb50d49","url":"https://jobsearcher.com/jobs/bcb6d3ff3751bb5d0fb50d49","canonicalUrl":"https://jobsearcher.com/jobs/bcb6d3ff3751bb5d0fb50d49","title":"AI Platform Engineer","description":"Job Type: Full-time\nDCI Job Requirement for:\nAI Platform Engineer\nLocations: Chantilly, VA\nJob Description\nServes as an AI Platform Engineer\nProvide Technical Cluster Management:\nDesign, deploy, secure, maintain, and upgrade scalable Kubernetes clusters\nUnderstand control plane components, worker nodes, and their interactions\nProvide Containerization & Orchestration support\nSecure Kubernetes environments\nDiagnose and resolve complex performance issues within Kubernetes\nOptimize resource utilization, and implement best practices for cluster tuning\nTroubleshooting issues across the entire Kubernetes stack\nDesign, implement, and maintain robust, automated CI/CD pipelines for:\nDeploying containerized applications to Kubernetes\nProvision and manage infrastructure declaratively\nUse languages like Python, Go, Bash, or similar, to automating tasks\nQualifications:\nBS in Computer Science / Engineering (or related career field)\nExtensive experience designing, deploying, securing, maintaining, and upgrading:\nHighly available, scalable Kubernetes clusters\nEx. EKS, AKS, GKE, OpenShift, or self-managed)\nUnderstanding of control plane components, worker nodes, and their interactions\nProficient with Docker and containerization best practices\nAdvanced knowledge of Kubernetes primitives like:\nPods, Deployments, StatefulSets, Services, Ingress, ConfigMaps\nSecrets, Persistent Volumes, and Namespaces\nStrong understanding of Kubernetes networking concepts, policies, meshes\nAlong with DNS within and outside the cluster\nExpertise in securing Kubernetes environments, including:\nRBAC and Pod Security Policies/Admission Controllers\nVulnerability scanning, secret management\nNetwork security\nAbility to diagnose and resolve complex performance issues within Kubernetes\nExperience IDing and resolving issues across Kubernetes stack\nHands-on experience with popular CI/CD platforms like:\nJenkins, GitLab CI/CD, GitHub Actions, Tekton, Argo Workflows, etc.\nAbility to design, implement, and maintain robust, automated CI/CD pipelines\nFor deploying containerized applications to Kubernetes,\nProficiency with IaC tools such as Terraform, Pulumi, or CloudFormation\nExperience with Helm charts for Kubernetes packaging and deployment\nStrong scripting skills in languages like:\nPython, Go, Bash, or similar\nPractical experience with GitOps workflows and tools\nExperience with Prometheus, Grafana, ELK stack/OpenSearch, Datadog, Splunk\nAWS Certified DevOps Engineer\nAzure DevOps Engineer\nHave current IAM Level II to satisfy DOD 8570 IAT requirements\n*Ability to travel up to 20% of the time, as required, to Clearance Requirements*\nClearance: Active TS/SCI with CI Polygraph\nSalary: $220,000-$270,000\nPay: $220,000.00 - $270,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nEmployee assistance program\nFlexible schedule\nFlexible spending account\nHealth insurance\nHealth savings account\nLife insurance\nPaid time off\nParental leave\nProfessional development assistance\nRelocation assistance\nRetirement plan\nTuition reimbursement\nVision insurance\nExperience:\ndesigning, deploying, maintaining Kubernetes clusters: 5 years (Preferred)\nKubernetes primitives : 5 years (Preferred)\nsecuring Kubernetes environments: 5 years (Preferred)\ndesigning, implementing maintaining CI/CD pipelines : 5 years (Preferred)\nPython and/or Go programming : 5 years (Preferred)\nDocker and containerization : 5 years (Preferred)\nLicense/Certification:\nCI Polygraph Security Clearance (Preferred)\nSecurity clearance:\nTop Secret (Required)\nWork Location: In person","company":"Dci Solutions","rawCompany":"dci solutions","city":"Gaithersburg","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-08-03T22:52:37.954Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Platform Engineer","description":"Job Type: Full-time\nDCI Job Requirement for:\nAI Platform Engineer\nLocations: Chantilly, VA\nJob Description\nServes as an AI Platform Engineer\nProvide Technical Cluster Management:\nDesign, deploy, secure, maintain, and upgrade scalable Kubernetes clusters\nUnderstand control plane components, worker nodes, and their interactions\nProvide Containerization & Orchestration support\nSecure Kubernetes environments\nDiagnose and resolve complex performance issues within Kubernetes\nOptimize resource utilization, and implement best practices for cluster tuning\nTroubleshooting issues across the entire Kubernetes stack\nDesign, implement, and maintain robust, automated CI/CD pipelines for:\nDeploying containerized applications to Kubernetes\nProvision and manage infrastructure declaratively\nUse languages like Python, Go, Bash, or similar, to automating tasks\nQualifications:\nBS in Computer Science / Engineering (or related career field)\nExtensive experience designing, deploying, securing, maintaining, and upgrading:\nHighly available, scalable Kubernetes clusters\nEx. EKS, AKS, GKE, OpenShift, or self-managed)\nUnderstanding of control plane components, worker nodes, and their interactions\nProficient with Docker and containerization best practices\nAdvanced knowledge of Kubernetes primitives like:\nPods, Deployments, StatefulSets, Services, Ingress, ConfigMaps\nSecrets, Persistent Volumes, and Namespaces\nStrong understanding of Kubernetes networking concepts, policies, meshes\nAlong with DNS within and outside the cluster\nExpertise in securing Kubernetes environments, including:\nRBAC and Pod Security Policies/Admission Controllers\nVulnerability scanning, secret management\nNetwork security\nAbility to diagnose and resolve complex performance issues within Kubernetes\nExperience IDing and resolving issues across Kubernetes stack\nHands-on experience with popular CI/CD platforms like:\nJenkins, GitLab CI/CD, GitHub Actions, Tekton, Argo Workflows, etc.\nAbility to design, implement, and maintain robust, automated CI/CD pipelines\nFor deploying containerized applications to Kubernetes,\nProficiency with IaC tools such as Terraform, Pulumi, or CloudFormation\nExperience with Helm charts for Kubernetes packaging and deployment\nStrong scripting skills in languages like:\nPython, Go, Bash, or similar\nPractical experience with GitOps workflows and tools\nExperience with Prometheus, Grafana, ELK stack/OpenSearch, Datadog, Splunk\nAWS Certified DevOps Engineer\nAzure DevOps Engineer\nHave current IAM Level II to satisfy DOD 8570 IAT requirements\n*Ability to travel up to 20% of the time, as required, to Clearance Requirements*\nClearance: Active TS/SCI with CI Polygraph\nSalary: $220,000-$270,000\nPay: $220,000.00 - $270,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nEmployee assistance program\nFlexible schedule\nFlexible spending account\nHealth insurance\nHealth savings account\nLife insurance\nPaid time off\nParental leave\nProfessional development assistance\nRelocation assistance\nRetirement plan\nTuition reimbursement\nVision insurance\nExperience:\ndesigning, deploying, maintaining Kubernetes clusters: 5 years (Preferred)\nKubernetes primitives : 5 years (Preferred)\nsecuring Kubernetes environments: 5 years (Preferred)\ndesigning, implementing maintaining CI/CD pipelines : 5 years (Preferred)\nPython and/or Go programming : 5 years (Preferred)\nDocker and containerization : 5 years (Preferred)\nLicense/Certification:\nCI Polygraph Security Clearance (Preferred)\nSecurity clearance:\nTop Secret (Required)\nWork Location: In person","datePosted":"2026-08-03T22:52:37.954Z","dateModified":"2026-08-03T22:52:37.954Z","hiringOrganization":{"@type":"Organization","name":"Dci Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gaithersburg","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bcb6d3ff3751bb5d0fb50d49"},"url":"https://jobsearcher.com/jobs/bcb6d3ff3751bb5d0fb50d49"}}