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TALENT-26468

Aleksei

DevOps Engineer

Georgia

Seniority

Senior

Language skills

English C1

Hire employees directly, with full complaince, using our Employer Of Record (Payroll) service.

- EOR  199 €/month

- Success fee 8%

Skills

aws azure devops ec2 gcp linux rds terraform

Industry

IT Services and IT Consulting

Professional Summary

With an impressive track record spanning 8 years, this DevOps Engineer brings a wealth of experience and expertise to the table. Proficient in navigating the AWS landscape, the candidate demonstrates mastery in AWS services such as EC2 and RDS. Notably, they showcase versatility in managing both Windows and Linux environments within the AWS ecosystem. The candidate's proficiency extends to the realm of Continuous Integration and Continuous Delivery (CI/CD) tools, where they have showcased their skills with a variety of platforms. This includes hands-on experience with Jenkins, GitHub CI, TeamCity, and Concourse, highlighting their ability to adapt to diverse toolsets and environments. In terms of scripting languages, the candidate is adept in Python, PowerShell, and Bash scripting. The candidate's engagement in peer development, particularly with Python, underscores their collaborative approach and ability to contribute to team-based projects. Their experience with Django Rest Framework, a powerful tool for building Web APIs with Python, adds another layer of expertise to their skill set.

Video of Talent

Portfolio

Education

Rostov State University of Economics / Bachelor degree in IT SECURITY

09/2014 - 06/2018


A Cloud Guru / Google Kubernetes Engine (GKE) Beginner to Pro

03/2020 - Present


A Cloud Guru / Kubernetes Deep Dive 

02/2020 - Present


Cisco Certified Network Associate Industrial (CCNA I)

12/2014 - 12/2016

Certifications and Trainings

Experience

Senior SRE|DevOps Engineer / DataArt

Full-time

May 2019 - Present


Dev expertise:


  • Implementing IoT solutions for MedTech projects

  • Python backend development (Django, Django Rest Framework, FastAPI)

  • Developing stress tests/web parsers

  • Writing/optimizing simple Java web apps + GAE deployment


DevOps expertise:


  • ML models CI/CD to Kubernetes

  • Developing Jenkins pipelines & shared libraries

  • Developing Lambda functions

  • Solid Kubernetes experience (event based auto-scaling, helm charts)

  • Administration of AWS, Azure and Google Cloud Platform

  • Cloud Migrations

  • Implementing CI/CD best practices & developing CI/CD pipelines

  • Linux administration (Debian/Ubuntu/CentOS)

  • Android builds performance optimization

  • Cost optimizations

  • Mentoring, newbies on-boarding 

  • Ansible roles development

  • Migrating data to SkySQL and ScaleGrid


Services/Technologies used:


  • GCP, Azure, AWS 

  • Kubernetes, Helm

  • Ansible

  • Jenkins CI, TeamCity

  • Jira, Bitbucket, Confluence

  • Apache Kafka

  • Java/Python

  • Django

  • Terraform

  • Hazelcast




DevOps Engineer / Distillery

Full-time

Feb 2016 - May 2019

Buenos Aires Province, Argentina


  • Organizing software Deployment Cycle using AWS CI/CD tools (CodePipeline, CodeBuild, CodeDeploy)

  • Fixing bugs in Jenkins Plugins (slash branches issue in Multibranch pipeline plugin)

  • Zero Downtime AWS Deploy (Jenkins + Packer + Terraform)

  • Google Cloud / Amazon AWS Administration

  • On-perm to cloud migration

  • Internal penetration testing

  • Cost Optimizations

  • New employees onboarding 

  • Dev Ops Documentation Support

  • Nginx/Apache Security Hardening wit ModSecurity

  • Taking part in Python Django projects as a developer

  • Implementing Ruby /Python automation scripts

  • OpenNebula administration and support

  • Bare metal servers administration

  • SQL queries development and optimization

  • Deployment of highly loaded distributed Zabbix Monitoring System (30 000 nvps) with MariaDB Galera 10 as DB backend and HA Proxy as Load Balancer

  • Deployment of Pacemaker + Corosync + GlusterFS based HA Linux clusters


Technologies/Services used:


  • AWS, Google Cloud Platform

  • KVM, Hyper-V, OpenNebula

  • Ansible

  • Pacemaker

  • MariaDB Galera Cluster

  • Python

  • Jenkins

  • Sentry

  • CloudFlare

  • Terraform

  • Packer

  • Docker

Projects

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