DevOps Engineer | Infrastructure Automation | Cloud-Native Architect
I am a DevOps Engineer specializing in infrastructure automation, containerization optimization, and CI/CD pipeline development. I have hands-on experience in designing, deploying, and managing scalable cloud-native environments, ensuring high availability, security, and seamless deployment cycles.
- ⚙️ Core Focus: My day-to-day expertise revolves around Kubernetes, Docker, Terraform, and building robust automation workflows with Ansible and GitHub Actions.
- ☁️ Cloud & Environments: Experienced in managing deployments across cloud platforms (AWS, Azure) and architecting highly available systems using Helm.
- 🐧 Linux Enthusiast: Deeply passionate about Linux system administration. My daily driver is Fedora Linux tailored with the Niri tiling compositor (Wayland).
- 🎓 Academics: Currently in my 3rd year pursuing a degree in IT in Business.
- 🔭 Current Research: Developing a bachelor's thesis focused on an autonomous LLM-driven agent for deep diagnostics and troubleshooting of Linux environments.
Infrastructure as Code & Configuration:
Containerization & Orchestration:
Cloud & CI/CD:
Observability & Monitoring:
Databases & Scripting:
- 🏗️ Infrastructure Automation & Security Engineered comprehensive Ansible Playbooks to automate the provisioning, security compliance, and deployment processes across server environments. Standardized infrastructure configurations to eliminate configuration drift and reduce manual deployment overhead.
- ☸️ Cloud-Native Deployments & Orchestration Architected and managed containerized workloads utilizing Docker, Kubernetes, and Helm. Focused on optimizing resource allocation, implementing robust deployment strategies, and maintaining scalable cluster architectures for complex distributed applications.
- 📊 Observability & Alerting Stack Implementation Configured and deployed comprehensive monitoring solutions using Prometheus, Alertmanager, and Grafana. Created custom alerting rules and dashboards to track critical metrics (CPU/Memory utilization, network traffic) ensuring proactive incident response.
- 🤖 Autonomous LLM Linux Diagnostic Agent Currently developing a tool built with Python (leveraging pexpect and WebSockets) that utilizes LLMs for automated, deep diagnostics of Linux systems, streamlining the troubleshooting process for system administrators.
- LinkedIn: Dmytro Shutko
- Email: Drop me a line
Languages: 🇺🇦 Ukrainian (Native) | 🇬🇧 English (B2) | 🇵🇱 Polish (C1)