Аліна

ALINA SHVYRYD
DevOps & Cloud Infrastructure Specialist
Ivano-Frankivs'k, Ukraine | [відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація») | GitHub: github.com/AlinaSHforwork | Portfolio: portfolio-shvyryd.vercel.app

PROFESSIONAL PROFILE

DevOps Engineer specializing in 'Infrastructure as Code,' automating deployment pipelines, and orchestrating
containers to build scalable, self-healing cloud environments. Transitioned from a software engineering foundation to
Systems Engineering to focus on building resilient automated systems.

TECHNICAL EXPERTISE

Cloud & DevOps: AWS (EC2, VPC, ALB, ASG, S3), Docker, Kubernetes, Terraform, Ansible, GitHub Actions, Jenkins,
Nginx
Programming: Python, TypeScript, JavaScript (ES6+), Java, Bash/Shell, PowerShell, SQL, Go
Backend & DB: Node.js, Express.js, FastAPI, Microservices, PostgreSQL, MongoDB, Redis, Prisma, RabbitMQ
Soft Skills: Active Listening, Critical Thinking, Problem-Solving, Learning Agility, Teamwork, Stress Management

CORE PROJECTS

PyPaaS Orchestrator (PaaS Engine)
Technologies: Python (FastAPI), Docker SDK, Nginx, Terraform, AWS, Prometheus, Trivy
- Designed a lightweight PaaS engine for automated Git-based deployments with zero-downtime routing.
- Integrated a self-healing daemon to monitor and restart unhealthy containers, maintaining 99% uptime.

SentinelStream: Multi-Cloud Log Aggregator
Technologies: Node.js, Express.js, Docker, AWS S3, Prometheus, Transform Streams
- Built a high-performance service for log aggregation from Docker, S3, and HTTP sources.
- Implemented real-time masking for 35+ secret types with high throughput (50+ MB/s) and low memory usage.

Cloud Infrastructure Deployment (Capstone)
Technologies: AWS, Terraform, Ansible, Docker Compose, GitHub Actions
- Provisioned multi-tier AWS infrastructure (VPC, Subnets, EC2) using Terraform IaC.
- Automated end-to-end CI/CD workflows, reducing manual deployment intervention by 80%.

Docker Container Monitor
Technologies: Docker Engine API, Node.js, WebSockets, Frontend Dashboard
- Developed a real-time dashboard to visualize container lifecycles and health status directly from the Docker Engine
API.

EDUCATION

Bachelor of Software Engineering
King Danylo University, Ivano-Frankivs'k | Sept 2025 - May 2029

LANGUAGES

Ukrainian (Native), English (Advanced), German (Elementary)