• Transform technology into opportunity as an Infrastructure Engineer with GDIT • Provide system administration and development/maintenance support of Commander, Navy Installation Command (CNIC) G2 applications • Perform root cause analysis to provide resolutions for production issues on CNIC applications • Support F5 implementation of G2 in Data Center • Coach and mentor System Administrators on best methodologies • Participate in strategic planning sessions for development of the application architecture and roadmap • Present solution designs to stakeholders for input, buy-in and sign-off

• Lead the design and governance of scalable, reliable, secure, and cost-effective infrastructure architectures aligned with the bank’s enterprise architecture and strategic objectives. • Define and maintain infrastructure technology roadmaps that support business growth, digital transformation, and operational excellence. • Act as a key liaison across different technology departments and business units to ensure cohesive and aligned infrastructure solutions. • Drive innovation by modernizing infrastructure through automation, software-defined solutions, hybrid multi-cloud and emerging technologies. • Manage relationships with infrastructure vendors and service providers to ensure solutions meet architectural standards and business needs. • Lead and develop a team of infrastructure architects and engineers, fostering a culture of technical excellence and continuous learning. • Develop and manage infrastructure architecture budgets, ensuring cost-effective technology investments and alignment with financial planning.

• Design, build, and maintain AWS cloud infrastructure using Terraform, Terragrunt, Helm, ArgoCD, Kubernetes (EKS), and CI/CD pipelines (GitHub Actions) • Manage infrastructure across multiple AWS accounts and environments, ensuring consistency, proper isolation, and security • Maintain and optimize Kubernetes clusters, including EKS upgrades, component updates, and capacity planning • Build and maintain observability systems (Prometheus, Grafana, Datadog) with comprehensive alerting and dashboards • Manage dependency updates and security patches across Docker images, Helm charts, Terraform modules, and application dependencies using automation tools like Renovate • Enhance security posture through least privilege access, signed images, admission controllers (Kyverno), and mTLS • Participate in on-call rotation to respond to incidents, troubleshoot issues, identify root causes, and implement preventive measures • Document infrastructure patterns, best practices, and operational procedures

• Design, deploy, and maintain scalable and secure infrastructure supporting AI and ML workloads. • Build and maintain AWS cloud environments for compute (EC2, ECS/EKS, Lambda), storage (S3, EFS, FSx), and networking (VPC, Transit Gateway, PrivateLink, Route 53, load balancers). • Implement security best practices using IAM, KMS, Secrets Manager, GuardDuty, and Security Hub. • Support and optimize AI/ML workloads across AWS services (SageMaker, Bedrock, Batch, Step Functions). • Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, and CloudFormation. • Manage containerized workloads and orchestration platforms (Docker, EKS, Fargate), including GPU scheduling and scaling. • Set up and maintain monitoring and observability frameworks using CloudWatch and OpenTelemetry. • Build and manage CI/CD pipelines (CircleCI, GitHub Actions, GitLab CI) for infrastructure automation and ML/Gen AI deployments. • Collaborate with ML and Generative AI teams to scale models, optimize performance, and design efficient prompt or inference pipelines. • Develop runbooks and SOPs for AI service deployment, troubleshooting, and performance optimization. • Ensure security, compliance, and data protection across AI datasets and environments.