• Cloud migration to AWS, GCP, Azure, Yandex Cloud, and Selectel
• Kubernetes platform engineering for production workloads
• Self-hosted infrastructure for teams that need more control and lower SaaS dependency
• Infrastructure as Code with Terraform and Ansible
• CI/CD, observability, and reliability as a single delivery stack

Relevant for 2026: cloud migrations, platform standardization, cost optimization, GitOps, and production reliability

• VPN / secure access setup: typically within hours using Ansible and Docker Compose
• Self-hosted collaboration stack: rapid deployment on clean Linux servers
• Production-ready infrastructure: from a few hours depending on scope
• Kubernetes clusters: usually delivered within days, including GitOps baseline
• CI/CD pipelines: end-to-end automation in a few days

Approach: reusable Ansible roles, Docker Compose, Terraform modules, and battle-tested deployment patterns

• AI-assisted engineering to speed up research, prototyping, and implementation
• Faster adoption of new tools and platforms
• Generation of code, Helm charts, and Terraform modules
• Automation-first mindset for repetitive infrastructure tasks
• Human-reviewed production delivery with focus on reliability and maintainability

Result: faster turnaround, better documentation, and shorter time-to-solution

• From PC assembly and troubleshooting to Cloud Architecture
• From low-level systems thinking to Kubernetes, GitOps, and modern DevOps
• Deep understanding of infrastructure across all layers
• Combined Windows and Linux operational experience
• Strong communication with both technical teams and business stakeholders

Unique value: I spot infrastructure risks and bottlenecks that others often miss