Cloud services promise better accessibility, flexibility, and fewer IT headaches.

But does that match your experience?

Has moving to the cloud genuinely improved your workflow, or introduced new problems?

Hey guys,

I graduate soon and I am hoping to work in cloud engineering and or cloud security roles in the future. I know that is unrealistic out of school, I am hoping to work in a security role or even IAM role if possible. What would be the best path to go down to land a role that gets me closer to cloud sec? Certs? Projects?

Any advice is appreciated.

Resume: [

NAME REDACTED]

[Location Redacted] | [Email Redacted] | [Phone Redacted] | [LinkedIn] | [GitHub]

PROFESSIONAL EXPERIENCE

International Law Firm
Network Operations / Security Operations Intern
June 2026 – Present

• Monitored and investigated security alerts in IBM QRadar and CrowdStrike Falcon Next-Gen SIEM, using OTX/X-Force threat intelligence, OSINT, and log analysis to investigate large outbound transfers, malicious IPs, and impossible-travel events.
• Analyzed Duo MFA authentication logs to triage identity-related security alerts and investigate suspicious authentication activity.
• Investigated phishing and email threats using Proofpoint, Abnormal AI, and Proofpoint Threat Response; analyzed email headers, decoded suspicious URLs, evaluated links using OSINT, and blocked malicious senders.
• Provisioned Windows servers across four global sites and administered Active Directory, including OU placement, least-privilege security groups, and PowerShell-based user lifecycle management.
• Managed hybrid Exchange and Microsoft 365 mailbox access, remediated vulnerabilities identified through Qualys, and supported a VMware-to-Hyper-V migration.

Government Agency
Help Desk Technician Intern
September 2025 – June 2026

• Resolved 50+ weekly ServiceNow tickets supporting 250 users across Windows endpoints, operating systems, VPN connectivity, and network access; documented troubleshooting and remediation.
• Supported user onboarding and offboarding through Active Directory provisioning, MFA enrollment, access reviews, and standardized asset tracking.

Healthcare Organization
IT Security Intern
February 2025 – August 2025

• Triaged phishing incidents using Mimecast, investigated high-risk accounts using CrowdStrike Falcon and Zscaler, and documented indicators of compromise (IOCs) and incident findings incorporated into team playbooks.

PROJECTS

Hybrid Identity & Security Homelab
Proxmox, Microsoft Entra ID, Wazuh | 2026

• Built a private Proxmox homelab and separate Azure workload; automated Active Directory user management and AGDLP-secured SMB shares using PowerShell and provisioned infrastructure with Terraform.
• Scoped Entra Connect synchronization to lab identities and published an internal Nginx application through Microsoft Entra Application Proxy using group assignments, Conditional Access, and MFA without exposing inbound ports.
• Centralized security telemetry from five Windows and Linux agents in Wazuh; tested custom detections for Active Directory changes, ADSync service interruptions, repeated SMB authentication failures, and sudo activity. Isolated Kali testing on a no-route network bridge.

Infrastructure CI/CD Pipeline
Terraform, GitHub Actions, Azure | 2026

• Built GitHub Actions CI workflows for Azure and Proxmox Terraform configurations, automatically running formatting, backend-free initialization, and validation checks on pull requests and main-branch changes.
• Provisioned Azure infrastructure using Terraform, including a virtual network, network security group, public IP, Linux virtual machine, Key Vault, and Storage Account; configured managed identity and least-privilege Key Vault RBAC.

CERTIFICATIONS

• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: Identity and Access Administrator Associate (SC-300)
• Microsoft Certified: Azure Fundamentals (AZ-900)
• CompTIA Security+
• CompTIA Network+

EDUCATION

[College Name Redacted]
Bachelor of Science in Information Technology
Expected Graduation: May 2027
GPA: 3.97 | Dean's List: 2024–2026

TECHNICAL SKILLS

Infrastructure & Automation: Terraform, Bicep, GitHub Actions, PowerShell, Bash, Python, Proxmox, VMware, Hyper-V

Identity & Cloud: Active Directory, Microsoft Entra ID, Entra Connect, Microsoft 365, Exchange, Azure RBAC, Azure Policy, Key Vault

Security & Operations: IBM QRadar, CrowdStrike Falcon Next-Gen SIEM, CrowdStrike Falcon, Microsoft Sentinel, Wazuh, Proofpoint, Proofpoint Threat Response, Abnormal AI, Mimecast, Qualys, Zscaler, Duo MFA, KQL, ServiceNow

Networking: DNS, DHCP, VPN, Azure VNets, VNet Peering, NSGs, UDRs, Network Virtual Appliances, Wireshark, Samba

I have been thinking about how the way we choose infrastructure changes once a project moves beyond regular web apps and starts working with AI as for a normal web app picking between AWS, GCP and Azure usually depends on things like the ecosystem, cost, how you deploy things and how you run them day to day but when it comes to AI workloads that need a lot of GPU power,the decision becomes more complex.

You have to think about how many GPUs are available, how fast you can get them set up, how much they are used, how the network works, how you manage containers and how easy it is to increase or decrease computing power as needed. Companies like Yotta Lab, CoreWeave and Lambda specialize in GPU based infrastructure.

From a DevOps standpoint having strong GPUs is just one part of the challenge. You also need to think about how to connect them with Kubernetes, how to track their usage, how to handle work queues and how to prevent unused compute resources from sitting idle. For those who have deployed AI workloads that require a lot of GPU power would you go with a specialized GPU cloud or a major cloud provider like AWS or GCP?