You will get reliable technical validation of DevOps & Cloud engineers before hiring
Project details
I run structured technical interviews for cloud/DevOps/infrastructure candidates (GCP, VMware, Azure) using real-world troubleshooting and design scenarios. You get a clear hire/no-hire recommendation with a rubric of strengths, gaps, and suggested follow-up probes.
What's included
| Service Tiers |
Starter
$70
|
Standard
$120
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 2 days |
Candidate Screening | |||
Interview Consulting | - | ||
Recruiting Process Consulting | - | - | - |
About Richard
Cloud, Infrastructure Architect / Technical Interviewer
Paskov, Czech Republic - 4:22 am local time
Founder @ Cloudpeakify | OrderCore.AI
I help companies hire the right cloud and infrastructure engineers and design scalable, production-ready environments across GCP, VMware, Azure and hybrid setups.
At Cloudpeakify, we work with clients across EU and US markets — from fast-growing startups to enterprise environments — delivering cloud architecture, virtualization, storage and AI infrastructure solutions.
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🚀 What I do
1. Technical interviews (cloud / infra / DevOps / AI)
* Real-world scenario-based interviews (not theory)
* Focus on troubleshooting, architecture thinking and decision-making
* Clear output: strengths, weaknesses + hire / no-hire recommendation
* Typical session: 30–40 minutes
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2. Cloud & infrastructure architecture
* Design of hybrid and multi-cloud environments
* Migrations (on-prem → cloud, VMware → GCP/Azure)
* Performance, cost optimization and scalability
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3. AI / ML infrastructure (practical, not hype)
* RAG pipelines and LLM deployments (GCP + open-source)
* MLOps setup (versioning, validation, containerized deployment)
* AI workloads running on real infrastructure (not just notebooks)
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🧠 Core expertise
Cloud & Virtualization
* Google Cloud Platform (PCA)
* VMware vSphere, VxRail
* Microsoft Hyper-V
Automation & DevOps
* Terraform, Ansible, CI/CD (Jenkins, Git)
Systems
* Linux (SUSE, Ubuntu)
* Windows Server (AD, DNS, DHCP, WSUS)
Observability
* Prometheus, Grafana
* VMware vCenter / ESXi
Containers
* Kubernetes, Docker
AI/ML stack
* Vertex AI, TensorFlow, PyTorch
* Hugging Face, open-source LLMs (deployment & fine-tuning)
Security & IAM
* Active Directory, RBAC
* GCP IAM, least-privilege design
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🔧 Recent projects
* Built RAG pipelines on GCP combining Vertex AI + open-source LLMs
* Designed AI infrastructure for internal automation workflows
* Delivered MLOps pipelines (dataset versioning, validation, deployment)
* Led cross-team enablement (AI infra, observability, security)
* Hybrid cloud environments (VMware + GCP/Azure) for EU/US clients
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🧾 Certifications
* Google Cloud Professional Cloud Architect (PCA)
* VMware Certified Professional (VCP)
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🌍 Clients
We work with companies primarily in:
* 🇺🇸 United States
* 🇪🇺 European Union
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🌐 Languages
* Czech (native)
* English (professional)
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💬 Why clients hire me
* I don’t ask trivia — I simulate real production problems
* Strong overlap: cloud + infra + AI (rare combination)
* I’ve seen what works (and what breaks) in real environments
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⚡ If you need:
* reliable technical interviews
* cloud architecture validation
* or AI infrastructure that actually runs in production
👉 Let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Richard can start the project.
Delivery time starts when Richard receives requirements from you.
Richard works on your project following the steps below.
Revisions may occur after the delivery date.
Align scope & rubric
Review job description, role level, and align interview focus areas.
Run interview
Conduct structured technical interview (30-60 min) with real-world scenarios.