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DevOps engineer (L2, support)
- Considering positions:
- DevOps engineer (L2, support), Інженер комп'ютерних систем
- Age:
- 25 years
- City of residence:
- Kyiv
- Ready to work:
- Kyiv, Remote
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CONTACT Email: [
Linkedin: [
kikot-96b3bb24b
Phone: [
EDUCATION
National Aviation University 09/2018 — 12/2023
Computer Engineering - master's degree
SKILLS
Cloud: AWS, DigitalOcean, Hetzner
Containerization: Docker, Kubernetes
CI/CD: GitHub Actions, GitLab CI
Iac & Automation: Terraform, Ansible, Bash, Python
Monitoring: Grafana, Prometheus, Zabbix, Node Exporter
Databases: PostgreSQL, MySQL, SQL
Networking: Nginx, CloudFlare
OS: Ubuntu, Debian, RedHat
WORK EXPERIENCE
ITSyndicate Trainee Program 11/2022 — 02/2023
Trainee DevOps Engineer
Studied with mentors and completed various tasks required for DevOps Engineer.
Boosteroid 10/2023 — 04/2024
L2 Support Engineer
Performed day-to-day monitoring and administration of Linux and Windows servers, including
troubleshooting incidents, maintaining system health, and supporting stable infrastructure
operations.
NetFrame 04/2024 — 04/2026
DevOps Engineer
Built and operated AWS-based infrastructure and CI/CD automation (Terraform, Kubernetes/EKS,
Helm, GitHub Actions), improving deployment reliability and observability.
SUMMARY
• DevOps Engineer (2 years) delivering AWS infrastructure and Kubernetes (EKS) operations.
• AWS / Cloud Infrastructure: Independently designed, built, and maintained Kubernetes-based
infrastructure in AWS for production and development environments, with hands-on use of EKS, EC2,
ECR, S3, Aurora PostgreSQL, DMS, and AWS Load Balancers (ALB/NLB).
• Terraform / Infrastructure as Code: Provisioned cloud infrastructure from scratch using a modular
Terraform approach, creating reusable and maintainable building blocks for cluster and platform
components.
• Kubernetes / Container Platform: Operated a containerized, Kubernetes-based service architecture in
AWS, supporting application workloads, asynchronous services, and platform-level components in
production-like environments.
• Scaling / Reliability / High Availability: Implemented workload-driven autoscaling across multiple
layers, including HPA for application pods and ingress controller scaling for traffic handling.
• Messaging / Async Processing: Deployed and maintained Celery services with RabbitMQ inside the
Kubernetes environment to support asynchronous task execution.
• CI/CD / Release Automation: GitHub Actions reusable workflows, self-hosted runners, Docker
build/tag/release, Slack/Jira notifications.
Built and maintained GitLab CI pipelines for automated delivery into Kubernetes, using Helm for
application deployment and release standardization.
• Odoo / Application Deployment: Automated deployment of Odoo CRM systems with Ansible and
CI/CD, including Nginx configuration, deployment of custom modules, and handling of module update
issues such as HTTP 500 scenarios.
• Observability / Monitoring / Logging: Implemented centralized observability with Prometheus, Grafana,
and Loki, including alerting and dashboards for real-time infrastructure and application monitoring.
• Networking / Multi-Cloud Exposure: Worked across AWS, DigitalOcean, and Hetzner environments,
with practical involvement in cloud infrastructure, networking, and service delivery.
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