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Ivan

DevOps engineer

Рассматривает должности:
DevOps engineer, Системний адміністратор
Возраст:
20 лет
Город проживания:
Днепр
Готов работать:
Удаленно

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IVAN PAVLENKO
DevOps Engineer
Plovdiv, Bulgaria | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация»)
github.com/filooww | [открыть контакты](см. выше в блоке «контактная информация»)

SUMMARY
DevOps Engineer with 3+ years of experience provisioning and maintaining AWS infrastructure (EC2, VPC, ELB, RDS, S3)
and automating internal tooling in a live production environment, progressing from manual console/CLI operations to
Infrastructure as Code with Terraform. Extended by hands-on personal projects covering containerization (Docker,
Kubernetes), GitOps (ArgoCD), and observability (Prometheus/Grafana). Comfortable owning a system end-to-end —
provisioning, CI/CD, deployment, and monitoring — and collaborating cross-functionally through Jira/Confluence/Slack
automation.
TECHNICAL SKILLS
Cloud & IaC: AWS (EC2, S3, RDS, IAM, VPC), Terraform, Ansible
Containers & Orchestration: Docker, Kubernetes (k3s/k3d), Helm, ArgoCD
CI/CD & Monitoring: GitHub Actions, GitLab CI, Prometheus, Grafana, Alertmanager
OS & Scripting: Linux (Ubuntu, Debian, RHEL), Bash, Python
Other tools: Git, PostgreSQL, MySQL, Redis, nginx, Trivy, Jira/Confluence/Slack automation

PROJECTS
k8s-gitops-platform github.com/filooww/k8s-gitops-platform
GitOps platform deploying a FastAPI service to Kubernetes via ArgoCD.
• Packaged the app as a Helm chart (Deployment, Service, Ingress, HPA, ConfigMap, Secret, ServiceMonitor,
PrometheusRule); multi-stage non-root Dockerfile with read-only rootfs.
• Implemented GitOps with ArgoCD (app-of-apps, automated sync and self-heal) — the cluster reconciles entirely from Git, no
manual kubectl.
• Set up monitoring with Prometheus and Grafana and alerting via Alertmanager to Telegram; verified HPA autoscaling
2→6→2 pods under a k6 load test.
• Built a GitHub Actions CI pipeline: tests, helm lint, image build, Trivy CVE scan (fail on critical), GHCR push, and automated
GitOps image-tag bump; added a Terraform module to provision a k3s node on AWS EC2 (Spot).
Stack: Kubernetes, ArgoCD, Helm, Terraform, Prometheus, Grafana, GitHub Actions, Docker, Trivy
devops-iac-aws github.com/filooww/devops-iac-aws
End-to-end Infrastructure as Code pipeline auto-deploying a web app to AWS.
• Provisioned AWS infrastructure with Terraform: VPC, public subnet, EC2 (t3.micro), Security Groups, and Elastic IP.
• Configured the server with Ansible (Docker and nginx reverse-proxy roles) and automated application deployment.
• Built a GitHub Actions CI/CD pipeline that builds the Docker image, pushes to GHCR, and deploys to EC2 on every push to
main.
Stack: Terraform, Ansible, AWS (EC2, VPC), Docker, GitHub Actions, nginx
auto-vpn github.com/filooww/auto-vpn
• Self-healing VPN watchdog for macOS and Windows: Bash/Python via LaunchAgent on macOS, PowerShell + Task
Scheduler on Windows — connects on login, generates TOTP codes, monitors the connection every 30s, auto-reconnects and
cleans up stale processes.
EXPERIENCE
DevOps Engineer — WOW Corporation 2023 – Present
• Provisioned and maintained AWS infrastructure (EC2, VPC, Security Groups, ELB, RDS, S3) for internal services; started
with manual console/CLI work and migrated provisioning to Terraform for repeatability, and configured Auto Scaling Groups
behind an ELB for load-based capacity scaling.
• Administer production Linux servers (Ubuntu/Debian) and automate recurring operational work with Bash and Python;
containerized internal tooling with Docker and built CI workflows on GitHub Actions.
• Designed, built, and shipped two Chrome extensions (JavaScript) adopted org-wide by support operators and team leads: a
live agent-availability monitor over the DayPilot CRM dashboard that cut agent-lookup time from ~30s to 2s per ticket, and a
schedule-compliance monitor on the CRM API — actively maintained across 9+ releases (v9.58).
• Own internal DevOps tooling and process automation: configured Jira with custom workflows and automation rules
(JQL-driven auto-triage and auto-closing of stale tickets), maintain a Confluence knowledge base with live Jira integration, and
wired Slack notifications to issue events.
EDUCATION
B.Sc. Computer Engineering — Paton College of Welding and Electronics 2022 – 2026
Core disciplines: computer networks, Linux operating systems, Python and C/C++ programming, and system administration.
LANGUAGES
Russian — Native · Ukrainian — Native · English — B2 · Bulgarian — Basic

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