Денис

Phone: [відкрити контакти](див. вище в блоці «контактна інформація») Denys Foliush
Email: [відкрити контакти](див. вище в блоці «контактна інформація») DevOps Engineer

Summary of Highly adaptable DevOps/System Engineer with a background in IoT and Cloud
Qualifications Engineering, focused on leveraging AI tools to accelerate development and debug
complex systems. Proven ability to rapidly master new technologies with a
proactive approach to problem-solving.

Skills
Programming Languages Frameworks
Python Django
Golang Flask
Bash
Containerization & Virtualization
HTML/CSS
SQL Docker, Docker Compose
Kubernetes
Cloud & IaC
Vagrant
AWS (EC2, RDS, S3, VPC, ECR, EKS, Multipass
Route 53, IAM, Secret Manager) Networking & Protocols
Terraform
TCP/IP
Methodologies & Collaboration DNS, SSH, HTTP/HTTPS
Agile, Scrum Testing & Code Quality
Jira, Trello, Slack
Pytest, Unittest
Operating Systems Pre-commit
Windows AI Tools:
Linux (Ubuntu, Mint, Alpine)
ChatGPT(Codex)
Version Control & CI/CD Claude Code
Git, GitHub Gemini

GitHub Actions
Jenkins

Microservices Infrastructure & Multi-Tier Cloud Architecture
Project Description: Cloud migration project transitioning Python (Flask/Django) and Go microservices
from local Vagrant/Docker stacks to AWS EKS using Terraform IaC. Features Nginx
load balancing, GitHub Actions CI/CD with pre-commit security scanning, and an AI
agent for automated Jira status reporting.
Customer: SoftServe DevOps Academy
Involvement 4 months (June 2026 – September 2026)
Duration:
Project Role: DevOps Engineer Trainee
Responsibilities: ▪ Architected and provisioned AWS Infrastructure as Code (IaC) using
Terraform, deploying a custom VPC optimized for an Amazon EKS cluster
and an RDS database, alongside Elastic Container Registries (ECR).

▪ Engineered a multi-tier local infrastructure stack using Vagrant and

KVM/libvirt, deploying two Python Flask applications behind an Nginx
reverse proxy configured for upstream load balancing.

▪ Developed a mail delivery utility using Go and the gomail library,
optimized the service with multi-stage Docker builds, and successfully
integrated the frontend interface with the mail backend.

▪ Maintained and developed new features for Python Flask and Django
backend web applications.

▪ Built a Model Context Protocol (MCP) server for the application to enable
advanced AI capabilities, complementing a custom Python workflow
agent that feeds Jira API data to Gemini for automated Discord reporting
via cron.

▪ Designed an automated CI/CD pipeline using GitHub Actions, leveraging
branch-based dynamic tagging rules to build and push container images
directly to the provisioned AWS ECR.

▪ Configured local pre-commit hooks with Gitleaks to prevent secret
leakage and integrated Terraform, YAML, and Python linters strictly into
the GitHub Actions pipeline to enforce code quality.

Project Team Size: 3-5 team members
Tools & Technologies: AWS (EC2, S3, IAM, Secret Manager,RDS,EKS,ECR), Docker, Docker Compose,
Packer, Go, PostgreSQL, Nginx, , Git, Linux, Helm, Terraform, , Github Action,

AI Model Code Evaluation & RLHF Alignment
Project Description: Technical evaluation and code review of AI model outputs.
Customer: ARIMLABS
Involvement March 2026 – October 2026
Duration:
Project Role: Member of Staff
Responsibilities:
▪ Perform deep-dive analysis of AI-generated solutions in compiled
languages identifying edge cases and ensuring code correctness for
model training.
▪ Evaluate and refine complex coding tasks generated by AI agents to
improve model accuracy and reasoning capabilities.

Project Team Size: ~20
Tools & Technologies: Python, C++, Go, LLM Evaluation, Git

Cloud Web Services & Real-Time IoT System
Project Description: Developed and deployed a cloud-hosted web service to practice Infrastructure-as-
a-Service (IaaS) concepts and network security configuration
Customer: Learning Projects
Github: https://github.com/DenisFolyush/Cloud
Responsibilities: Deployed Flask and Django backends on AWS EC2 and App Runner with RDS
MySQL.
▪ Programmed ESP32/ESP8266 microcontrollers in C++ using I2C, MQTT,
2

and InfluxDB.
▪ Set up GitHub Actions pipelines for automated testing, container builds,
and deployment.
Tools & Technologies: AWS (EC2, App Runner, RDS), MySQL, Docker, Flask, ESP8266, C++, MQTT, InfluxDB,
GitHub Actions

Languages: English: Intermediate (B2)
Ukrainian: Native

Education: Bachelor of Computer Science
Lviv Polytechnic National University (2022 – 2027)

Hobbies: Archery, Chess, Automotive Engineering.

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