Designed and implemented AWS infrastructure solutions for SpaceX projects, including Elastic Kubernetes Service (EKS) clusters, Amazon RDS instances, S3 buckets, and AWS API Gateway configurations.Designed and implemented VPN access to a secure VPC using aws best practices. Developed CloudFormation templates to provision and manage AWS resources in an automated and repeatable manner, ensuring consistency and reliability across environments.Configured and maintained EKS clusters using terraform with specific requirements, including node capacity, memory allocation, and CPU resources, to support SpaceX applications and services.Implemented CI/CD pipelines using AWS CodePipeline and Jenkins to automate the deployment of containerized applications to EKS clusters, enhancing development efficiency and release velocity.Collaborated with multiple teams to provide access controls and permissions for AWS resources, ensuring secure and compliant operations within the AWS environment.Managed S3 buckets for storing mission-critical data, including High Accuracy Catalog (HAC) files and collision avoidance screening results, with restricted access and IP-based firewall rules for enhanced security.Utilized AWS CloudWatch Container Insights and Amazon Managed Service for Prometheus to monitor and analyze EKS cluster performance metrics and application logs, enabling proactive troubleshooting and optimization.Deployed NGINX as a reverse proxy and load balancer in Kubernetes environments, configuring NGINX Ingress controllers and integrating with AWS Application Load Balancer (ALB) for traffic routing and SSL termination.Implemented HorizontalPodAutoscalers (HPA) in Kubernetes to automatically scale application pods based on resource utilization metrics, optimizing resource usage and ensuring high availability of services.Contributed to the management of ArgoCD deployments for Kubernetes cluster configuration management

UKG Scrum Lead for Kubernetes Software TeamsManaged two scrum teams as the hiring manager, collaborating with the product owner to establish milestones and strategic objectives.Oversaw upgrades for hundreds of VMs and Kubernetes clusters, both on-site and in GCP, ensuring smooth transitions and minimal downtime.Led daily scrum meetings with technical teams based in India and the USA, fostering communication and alignment on project goals and tasks.Conducted weekly backlog grooming sessions to prioritize tasks and refine user stories for upcoming sprints.Utilized Jira/UKG Pro extensively for managing employee performance reviews and tracking project progress.Maintained numerous Managed Services using VMs, including Redis, MongoDB, Cloud SQL, and Big Data solutions.Set up value streams for multiple customer user environments in GCP, OpenStack, and AWS, optimizing resource allocation and deployment efficiency.Managed legacy Kubernetes clusters on-site with OpenStack, Bosh, Rancher, and backup solutions across both on-premises and multi-region cloud environments.Implemented pipelines using Argo, GitLab, and Jenkins to create hosting environments, integrating automated validation processes for push requests.Led Active Directory migrations in a complex Kubernetes environment and set up MS Active Directory to authenticate LDAP credentials for secure access.Implemented AWS Organizations and AWS Control Tower to manage multiple AWS accounts within the organization, ensuring compliance with organizational policies and best practices.

Maintained multiple Red Hat Linux Servers and transitioned thousands of PHP/C/Python scripts to the National Hurricane Web page on the AWS cloud.Managed AWS user accounts, dataflow, IAM profiles, AMI images, API, and local Python applications for EC2 instancesCreated and Maintained k8s clusters using OpenShift container platforrm Developed thousands of Python scripts based on functional specifications for NOAA APIs and technical designs, adhering to architectural standards.Leveraged public open-source technologies and databases such as RDS and serverless (AWS Lambda) to drive optimal solution design and collaboration with architects and cross-functional teams.Analyzed and resolved production problems independently, implementing long-term solutions for transition to virtual machines and the Cloud.Evaluated requirements to design, develop, and implement appropriate solutions, automating repeatable processes for efficient deployment into the existing rating engine.Conducted code reviews, identified potential issues to reduce technical debt, and provided coding best practice recommendations.Automated monitoring software and deployments using Ansible and Terraform.Created numerous Lambda functions (Python, Node.js) on AWS to process radar data from hurricane hunters and debugged thousands of lines of JavaScript code in the baseline NWS AWIPS software.

Managed Active DirectoryLinux Administrator Lead