Brandon Vidaurre

Cloud & Infrastructure Engineer · AWS & Azure · Networking & Security · IaC / Automation

Professional Summary

Infrastructure engineer with 7+ years of enterprise IT experience and a managed-services (MSP) background that spans networking, Linux/Windows systems, virtualization, and security — operational breadth most cloud-only candidates lack. Designs, migrates, and operates hybrid environments across AWS and Azure, automates provisioning with Terraform, Ansible, Python, and Bash, and builds CI/CD with GitHub Actions. Hands-on with AI/ML-ready infrastructure and edge-to-cloud projects, from MLOps pipelines on AWS to a Gen-AI robotics agent on ESP32. Currently pursuing a BS in AI & Computer Science (WGU, 2027); holds AZ-104, AWS Cloud Practitioner, Security+, Network+, and Juniper JNCIA-Mist AI, with AWS Solutions Architect – Associate in progress.

Technical Skills

CloudAWS (EC2, S3, IAM, VPC, Lambda, SageMaker, CloudWatch, CloudFront, Route 53, ACM) · Microsoft Azure · hybrid / multi-cloud design · landing zones
IaC & AutomationTerraform · Ansible · Docker · Kubernetes · GitHub Actions · CI/CD pipelines
ProgrammingPython · Bash / Shell · PowerShell · Node.js · PHP · MicroPython
NetworkingTCP/IP · DNS · TLS · VLANs · VPN · load balancing · Cisco · HPE Aruba · Juniper Mist (AIOps)
SecurityZero Trust · IAM · network segmentation · SIEM · firewall · VPN · security compliance
Systems & Virt.RHEL · Windows Server · VMware vSphere · Hyper-V · Active Directory · Linux administration
Monitoring & OpsGrafana · Prometheus · CloudWatch · ITIL · incident management · SLA adherence · RCA
AI / MLSageMaker · MLOps pipelines · model versioning & deployment · edge / on-device inference

Professional Experience

Network Systems Administrator

2019 – Present

Intech Southwest (Managed Service Provider) · San Antonio, TX

  • Design and operate hybrid cloud environments across AWS and Azure — defining system specs, integration parameters, and security boundaries; cut provisioning cycle time ~40% with standardized IaC templates.
  • Led end-to-end migration of on-premises applications to cloud, including hybrid interconnect design; sustained 99.9% SLA compliance across migrated workloads.
  • Serve as internal cloud advisor to stakeholders; built a cost-optimization framework using on-demand scaling and pay-for-use modeling that reduced infrastructure spend ~25%.
  • Partnered with IT Security to implement SIEM and enforce Zero Trust across cloud and on-prem, reducing mean time to detect (MTTD) by ~30%.
  • Authored Terraform and Ansible automation plus Python/Bash scripting to provision and manage resources, cutting manual provisioning time ~60%.
  • Built and maintained GitHub Actions CI/CD pipelines for infrastructure and application workloads, decreasing deployment errors ~35%.
  • Administer RHEL and Windows Server across 500+ endpoints; manage VMware vSphere VM lifecycle, resource allocation, and disaster-recovery runbooks.
  • Perform capacity planning and root-cause analysis on mission-critical workloads; resolved 100% of P1 incidents within SLA with documented corrective actions.

IT Infrastructure Technician

2016 – 2019

Managed Services / Field Support

  • Supported hardware, OS, and application environments across Windows Server and Linux; configured Cisco and HPE Aruba switching, routing, and wireless for enterprise clients.
  • Resolved Tier 2–3 escalations within SLA targets; partnered cross-functionally to deliver infrastructure aligned to business requirements.

Featured Projects

AWS MLOps Pipeline

AWS · SageMaker · S3 · Lambda · Terraform · Python · GitHub Actions

  • End-to-end architecture for ML training and inference; automated model versioning and deployment via CI/CD and integrated SageMaker with S3 and Lambda for scalable, cost-efficient inference — cutting deployment time from hours to under 10 minutes.

Gen-AI Robotics Agent (Edge-to-Cloud)

ESP32 · MicroPython · computer vision · cloud GenAI APIs

  • Built an autonomous robotics agent on ESP32 with modular MicroPython firmware spanning personality, movement, vision, chess, and speaker subsystems — pairing on-device control with cloud generative-AI inference to demonstrate an edge-to-cloud ML workflow.

Raspberry Pi Wi-Fi Survey Tool

Raspberry Pi · Python · Linux · 802.11 / RF

  • Developed a portable Raspberry Pi tool for on-site wireless site surveys — capturing signal strength and coverage data to support enterprise network assessments and AP placement during field infrastructure work.

Cloud Portfolio Site

AWS S3 · CloudFront · Route 53 · ACM · GitHub Actions

  • Static site deployed on AWS with automated CI/CD, TLS via ACM, and DNS via Route 53; achieved sub-100ms global load times through CloudFront with full ownership from architecture through security to delivery.

Education & Certifications

BS, Artificial Intelligence & Computer Science — Western Governors University (Expected March 2027)

CertifiedMicrosoft Azure Administrator (AZ-104) · AWS Certified Cloud Practitioner · CompTIA Security+ · CompTIA Network+ · Juniper JNCIA-Mist AI (JN0-253)

In ProgressAWS Solutions Architect – Associate (SAA-C03)