3 jobs found

Position Summary The Organization is seeking a highly skilled Senior Enterprise Architect with deep expertise in application modernization, cloud-native design, and enterprise application portfolio management. This role focuses on hands on architecture execution-developing modern solutions, guiding cloud migrations, creating reusable standards, and partnering with engineering teams to modernize and streamline the application landscape. The architect will work primarily on both AWS, Azure and hybrid environments, supporting modernization roadmaps, technical debt reduction, and application lifecycle governance. Key Responsibilities 1. Architecture Standards, Patterns & Modernization Frameworks Develop, publish, and maintain application and integration architecture standards. Create reusable modernization patterns (microservices, APIs, event-driven, containerization). Contribute to reference architectures and ensure consistency across engineering teams. Support solution architects and delivery teams in applying approved standards. 2. Application Modernization Execution Design modernization paths for legacy applications: rehost, replatform, refactor, retire. Architect cloud native and hybrid solutions primarily on Azure (AKS, Functions, APIM, PaaS). Work hands on with engineering teams during design, PoCs, and early build phases. Guide workload decomposition, domain boundaries, service design, and modernization roadmaps. 3. Cloud Architecture & Platform Enablement Build and evolve Azure landing zone components and cloud governance configurations. Define infrastructure, integration, API, and data patterns for cloud adoption. Support hybrid cloud integrations with Azure, AWS, and GCP where applicable. Evaluate new cloud capabilities (AI, observability, DevSecOps, automation tools). 4. Application Portfolio Management & Rationalization Perform architecture led assessments using frameworks such as TIME or 6R. Identify consolidation, migration, and retirement opportunities to reduce redundancy. Partner with ServiceNow APM/CMDB to ensure accurate application inventory and lifecycle data. Develop architecture metrics and dashboards supporting modernization progress. 5. Technical Debt Analysis & Remediation Support Maintain application level technical debt insights across the portfolio. Partner with product teams to prioritize remediation aligned with risk, business value, and modernization sequencing. Provide guidance on remediation strategies, patterns, and target-state architecture alignment. 6. Infrastructure as Code (IaC) & Automation Enablement Contribute to IaC templates using Terraform, Bicep/ARM, or Pulumi. Support CI/CD pipeline architecture using GitHub Actions, GitLab, or Jenkins. Partner with DevOps teams to apply automation and configuration management practices (Ansible, Chef, Puppet). 7. Security, Compliance & Optimization Apply cloud security best practices and integrate IAM/RBAC, network security, and Key Vault usage into designs. Ensure alignment with CIS, NIST, ISO 27001, and security requirements. Support cloud cost optimization efforts using Azure Advisor and FinOps guidelines. 8. Cross Functional Collaboration & Communication Work closely with DevOps, Networking, Cybersecurity, Infrastructure, Finance, and Procurement teams. Translate complex modernization concepts into clear, actionable guidance for business and technical stakeholders. Participate in strategic planning, cloud strategy working sessions, and solution design workshops.

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. 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, StatefulSets, Services, Ingress, ConfigMaps Secrets, 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 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: 00 PIbb5af8ee6-

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. 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, StatefulSets, Services, Ingress, ConfigMaps Secrets, 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 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: 00 PIeb40fd0ec43d-0399