Cloud DevOps Engineer specializing in Azure, AWS, GCP, Terraform, Kubernetes, CI/CD pipelines, cloud security, observability, and AI infrastructure.
I design and automate production-ready cloud platforms for startups, SaaS teams, and engineering organizations, with a focus on scalable deployments, secure infrastructure, cost optimization, and reliable DevOps workflows.
- Designing and operating production-grade cloud platforms across Azure, AWS, and GCP
- Building Infrastructure-as-Code foundations that survive scale and compliance audits
- Engineering deployment pipelines that accelerate delivery without sacrificing stability
- Running container and orchestration platforms for high-availability, multi-tenant workloads
- Standing up observability and incident-response systems for distributed services
- Hardening cloud environments with identity, private networking, and zero-trust controls
- Deploying AI and LLM infrastructure that meets latency, cost, and reliability targets
I use the tools below in my cloud and DevOps work.
- Google Cloud Certified: Associate Cloud Engineer
- AWS Certified: Solutions Architect Associate
- Microsoft Certified: DevOps Engineer Expert
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
- Multicloud Network Associate
- Credly Profile · Accredible Profile
- Microsoft Learn Profile · Qwiklabs / Google Cloud Skills Profile
- Google Developer Profile · LeetCode Profile
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- AWS Learning: Serverless
- AWS Learning: Architecting
- AWS Learning: Object Storage
- AWS Cloud Quest: Cloud Practitioner
- Google IT Automation with Python
- Google Project Management Certificate
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My cloud and DevOps work samples include cloud architecture case studies, published articles, talks and podcasts.
| Repository | Focus Area | Description |
|---|---|---|
| Cloud & DevOps Learning Resources | Multi-cloud, DevOps, Kubernetes | Curated notes, books, exam prep, and interview resources across AWS, Azure, GCP, Docker, Kubernetes, and DevOps. |
| AWS CDK Projects | AWS, Infrastructure as Code | AWS infrastructure projects using CDK, automation, and cloud-native deployment patterns. |
| AWS DevOps Projects | AWS DevOps, CI/CD | Fork of rumeysakdogan/AWS_DevOps_Projects with AWS DevOps learning projects covering deployment workflows, pipelines, and AWS services. |
| DevOps Projects | Kubernetes, Terraform, CI/CD | Hands-on DevOps labs covering containers, orchestration, infrastructure automation, and deployment pipelines. |
| Cloud Architecture Diagrams | Architecture, System Design | Reference cloud architecture diagrams for scalable, secure, and production-ready infrastructure. |
Technical writing on cloud operations, Kubernetes, delivery pipelines and application security.
- How to Diagnose vite: not found After npm ci in a Container Build
- The PostgreSQL RLS Policy Existed, But The Table Owner Still Saw Every Row
- Why One of Two Kubernetes Pods Missed a Secret That Already Existed
- How a RabbitMQ TLS mismatch burned one CPU core before AMQP negotiation
- Drizzle 0.30.4 Missed Six PostgreSQL Parent Tables and Stalled the CI Pipeline
- Two Identical AKS Clusters, Two Different Elastic Metadata Bugs
- Why Old Azure DevOps Releases Survive a Pipeline Cutover
- A Missing Binary Turned a Kubernetes Liveness Probe Into a Restart Loop
- One Outlook edit became two Microsoft Graph events with no shared ID
- How I Consolidated Duplicate Delivery Pipelines With Parameters and Build Tags
Recorded conference talks and podcast guest appearances.
- Season 5, Episode 33: Claude Opus 5.5, Tokenomics on AWS, and Sovereign Cloud Models
- Don’t Give the Agent a Shell: Tool and Identity Boundaries for AI Agents in Cloud Operations
- Schema Migrations in CI/CD: When AI Helps, When It Hurts, and How to Tell the Difference
- Intro to DevOps: Bridging Development and Operations for Faster Delivery
