Position: DevOps engineer
Category: DevOps
English level: fluent
Years of experience: 3


Upwork
DevOps Engineer
August 2020 – present

Project - description  (Working on different freelance projects. More than 20 short and long term projects).

Digital Samba – Implementation Engineer
Working with different clients to maintain and customize their digital conferencing platform. The infrastructure was in a public cloud for most of the client. The architecture is docker containers running in different servers: nginx webserver, frontend and backend as datastream server, recording and mediaservers in different capacity.

Monk – Devops tester
Validating the orchestration platform and deploying different solutions to different cloud environments (Azure, AWS, DO, GCP)

Leadcookie and Contentalies – System administrator
Managing AWS infrastructure for both companies.

Main achievements and responsibilities:
	Working with cloud services such as AWS and Microsoft Azure, designing and implementing solutions that met the business requirements;
	Utilizing Kubernetes and Docker to containerize applications and manage them efficiently;
	Working with Azure Firewall, Azure Data Factory, App services, and Storage accounts to design and implement solutions that met the business requirements;
Used languages and technologies: Linux, Windows, Terraform, NewRelic, AWS, Microsoft Azure, Kubernetes, Docker, Gitlab, Azure DevOps, CI/CD, Github Actions

VOLO | Software Development Company
DevOps Engineer
January 2021 - February 2023

Project 1 - Most of the deployment was done via Powershell script and it was organized via Azure Devops Pipelines.
Production environment had Azure Apigateway enabled and calls were load balanced between DBs. Production DBs were replicated. The technology stack included but not limited to: Azure Webapps, Azure SQL, Azure Apigateway, Azure Application Insights, Azure AD, Azure Devops, Powershell.

Project 2 - Worked with big company providing solutons for Insuarance companies. The infrastructure was 80 % AWS, 20 % Azure. I did environment management as well as DevOps Support.
Tools that I worked with include but not limited to:  Dynatrace, AWS, Azure Devops, AWS S3, EC2, Load balancers, RDS, Azure SQL, Azure App service

Project 3 - I am working on a project with microservice architecture based on Kubernetes which is deployed via Terraform onto Azure. I added logging and monitoring via EFK stack and Prometheus/Grafana and did deployments of supporting apps (Gitlab, Artifactory, Sonarqube) via Helm.
Pipeline was build via Gitlab CI