Recruiter Overview¶
Purpose of this page
A fast evidence route for recruiters and sourcing specialists who need to understand platform scope, role alignment, demonstrated skills, and public proof routes in under five minutes.
Platform snapshot¶
AzAWSLab is not a collection of isolated labs. It is a staged platform built from a realistic Microsoft hybrid enterprise environment into Azure platform engineering, AWS-connected networking, private platform services, automation, operations, and AI governance.
Major capabilities are routed to screenshots, logs, source files, workflow records, engineering notes, and public-safe repository documentation.
Three releases, one platform journey:
- Release 1 - Hybrid workplace, identity, endpoint security, and Microsoft 365 operations.
- Release 2 - Azure platform engineering, multi-cloud networking, automation, private compute, backup, and AI governance.
- Release 3 - Multi-cloud Kubernetes, GitOps, and DevSecOps roadmap.
Skills demonstrated¶
The Skills Matrix maps specific capabilities to engineering notes and proof routes. Recruiter-relevant highlights:
| Domain | Key skills |
|---|---|
| Identity and Workplace | Entra Connect, Conditional Access, Intune, Autopilot, Exchange Hybrid, Microsoft Purview, Microsoft Graph PowerShell |
| Infrastructure as Code | Multi-root Terraform, remote state boundaries, GitHub Actions OIDC, code traceability |
| Networking | Hub-spoke design, BGP, IPSec VPNs, Azure Firewall, FortiGate NVA inspection, AWS branch routing |
| Platform Services | Private AKS, Kubernetes policy context, Azure Virtual Desktop, FSLogix, private access patterns |
| Automation | Ansible, AWX control plane, source-controlled runbooks, governed job execution |
| Operations | Azure Monitor, Sentinel, Defender for Cloud, Recovery Services Vault, backup validation, BCDR planning |
| AI Governance | AI Operations Enclave, evidenced through O6, policy-mediated tool use, human approval boundaries, companion local AI lab |
Proof highlights for screening¶
| Signal | What it indicates |
|---|---|
| Terraform, OIDC, and GitHub Actions | Platform engineering and secure CI/CD experience. |
| Entra Connect, Conditional Access, Intune, and Autopilot | Microsoft hybrid workplace and identity experience. |
| BGP, IPSec, Azure Firewall, FortiGate, and AWS branch routing | Hybrid and multi-cloud network engineering experience. |
| Private AKS, AVD, FSLogix, and private access paths | Secure private platform delivery experience. |
| Sentinel, Defender for Cloud, Recovery Services Vault, and BCDR | Operations, monitoring, backup, and resilience experience. |
| AI operations enclave and companion local AI lab | AI governance and controlled infrastructure-assistant workflow experience. |
Where the proof lives¶
- Proof Gallery - Curated evidence dashboard covering the major platform capabilities.
- Engineering Deep Dive - Implementation rationale, configuration decisions, and evidence maps.
- Skills Matrix - Competency map with links to engineering notes and proof routes.
- Portfolio Case Study - Executive narrative and platform transformation story.
All evidence is public-safe, sanitised, and stored in the GitHub repository.
Candidate profile alignment¶
AzAWSLab aligns with roles that require hands-on implementation, architecture judgement, and evidence-led communication, including:
- Cloud Platform Engineer
- Azure Infrastructure Engineer
- DevOps / Platform Engineer
- Cloud Security Engineer
- Site Reliability Engineer
- Platform Architect
- Technical Lead for hybrid or multi-cloud projects
Recruiter routing guidance¶
| Hiring need | Best evidence route |
|---|---|
| Microsoft 365, identity, endpoint, and workplace operations | Release 1 hybrid workplace sections in the Skills Matrix and Proof Gallery. |
| Azure platform engineering and Terraform delivery | Release 2 delivery engineering sections in Engineering Deep Dive and Proof Gallery. |
| Hybrid or multi-cloud networking | Network Engineering sections covering BGP, IPSec, Azure Firewall, FortiGate, and AWS branch routing. |
| Operations, resilience, backup, and monitoring | Operations Engineering sections covering Sentinel, Defender for Cloud, Recovery Services Vault, and BCDR. |
| AI governance and controlled assistant workflows | AI Operations Enclave, evidenced through O6, and Companion Local AI Lab pages. |
Next steps¶
- Scan the Proof Gallery to see evidence scope.
- Review the Skills Matrix for a competency inventory.
- Use the Portfolio Case Study for the platform narrative.
- Route technical reviewers to the Engineering Deep Dive.