Alexander Kagno

• Maintained extensive shared data center infrastructure to enable multiple developer teams
• Responded to outages and incidents with prompt communication to ensure minimal downtime
• Evaluated new software solutions to improve workflow efficiency and documentation quality
• Leveraged AI to automate repetitive complex workflows including POC (Proof of Concept) design, RCA (Root Cause Analysis) documentation, and RACI (Responsible, Accountable, Consulted, Informed) agreements
• Trained and onboarded contractors while managing backlog to improve output during remote work
• Audited and analyzed Atlassian suite usage through AI to optimize team collaboration
• Improved AugmentCode AI agent performance to enable enhanced migration workflow from RackTables to Netbox
• Coordinated hardware reservations for developers including shipping to remote labs and racking equipment locally
• Configured high-speed Nvidia (Mellanox) InfiniBand and TCP switches with up to 400Gbps throughput per port
• Deployed and configured Linux systems using automated provisioning with Cobbler and Chef configuration management

• Managed Azure DevOps releases and CI/CD pipelines to meet business requirements for new cloud infrastructure
• Integrated Azure DevOps API into Azure to enable developer access to Azure resources
• Supported Cloudflare management through Azure DevOps and Terraform Infrastructure as Code to allow new integrations with vendors
• Automated build of Azure DevOps agents using Docker containers and Azure Container Instances to improve resiliency of application builds

• Leveraged Terraform Infrastructure as Code and AWS EC2, ECS, S3, RDS, and CloudFront to provide cloud architecture for on-premise migrations
• Created new infrastructure pipelines in GitLab CI/CD to migrate away from Jenkins
• Configured Linux systems for InfluxDB time-series database logging to enable monitoring of server and application health
• Queried InfluxDB and MariaDB databases to provide service and application health alerts through PagerDuty incident management
• Relied on Jenkins automation server for older processes and modified them as needed to enable more robust on-premise Windows and Linux server management
• Designed and implemented proof-of-concepts using Terraform to support cloud migration of .NET applications to AWS EKS (Elastic Kubernetes Service)
• Utilized Ansible configuration management for automation to support usage of Linux in on-premise and cloud infrastructure
• Managed GitLab self-hosted installation to enable developer usage of new features and support robust backups of Git repositories

• Utilized AWS RDS, ECS, ALB, ACM, EC2, VPC, S3, Route53, and DynamoDB to enable sales department engagements
• Leveraged Terraform Infrastructure as Code and AWS CloudFormation to simplify AWS deployments of LogRhythm SIEM (Security Information and Event Management)
• Integrated log and metric data into and from LogRhythm SIEM platform to support sales engineers
• Supported large scale LogRhythm events involving up to 400 deployments on AWS to enable RhythmWorld and Sales Kick Off

• Improved efficiency of new hardware deployments or configuration using Powershell to quickly address needs of clients
• Configured and maintained Windows (Server 2003 to 10) environments to support clients and their needs
• Configured, maintained, and administrated VMware ESXi to enable more complex client environments
• Configured network hardware including firewalls, managed switches, and access points to provide network security for clients

• Implemented LXD to enable system configuration development
• Leveraged Python and Bash scripting to automate systems administration tasks
• Managed Mediawiki server to provide documentation infrastructure to developers
• Orchestrated Linux servers with Ansible to ensure compliance between environments

• Facilitated closing of support tickets to enable students, professors, and researchers
• Repackaged and automated deployment of Windows applications to provide updated Windows images to campus computers
• Conducted triage and customized Linux, Windows, and MacOS machines to optimize performance and user experience.
• Orchestrated large-scale lab machine deployments and imaging, enabling seamless access for students and instructors.

What is Computer Network and System Administration?