Profile Summary
As a Senior DevOps Engineer based in Ukraine, I bring over 8 years of experience. Proficient in Ansible, Jenkins, and Terraform, I excel in streamlining operations and optimizing infrastructure for seamless deployment.
Primary Skills
AWS | 9 yrsTerraform on Google Cloud | 9 yrsDocker | 9 yrsTerraform | 9 yrs
Culture Profile
In workplace, I am known for . . .
- being a fast programmer.
- having a decisive mentality even under pressure.
I thrive in environments . . .
- who focus on effective collaboration management.
- where autonomy is encourage.
I struggle in environments . . .
- High-pressure situations.
- where there is uncertainty about job permanence.
Work Experience
WoodWing
Senior DevOps Engineer
- Jan, 2022 - Present
- Remote
- Slow Deployment Cycles: Significantly faster deployments and quicker market response.
- Limited Monitoring and Logging: Enhanced issue detection and faster troubleshooting.
- Poor Continuous Integration and Continuous Deployment (CI/CD): Improved code quality and more frequent, reliable releases.
- Reduced risk of breaches and increased data protection.
- Poor Infrastructure Management using outdated tools: Greater operational efficiency and scalability.
Skills
AWSMachine LearningMachine Learning ModelsAmazon DevOps GuruAzure DevOpsAzure Machine LearningAzure Spot Virtual MachinesData Science Virtual MachinesLinux Virtual MachinesMigrate to Virtual MachinesVirtual Machine Scale SetsVirtual MachinesWindows Virtual MachinesBashDevOpsPrometheusTerraform
Industries
IT Services
Vixeka Software Solutions
Linux System Engineer | DevOps
- Jan, 2019 - Jan, 2022
- Remote
- Designed and implemented proactive monitoring to ensure the health, performance, and security of production and non-production systems.
- Used and integrated the monitoring tools to find problems and resolve and/or escalate them to developers.
- Provided reports and recommendations on how to improve performance, speed, reliability, and scalability.
- Planned automated backups and failover configurations.
- Participated in the development and implementation of elastic capacity plans.
- Participated in the development and/or improved processes to automate the application deployment pipeline, across development, staging, and production.
- Participated in ad hoc support requests regarding the health and performance of the sites and servers.
- Participated in creating and maintaining infrastructure as code (Jenkins, Ansible, bash, dicker).
- Supported the production infrastructure and escalated some issues in the tickets system.
- Has been created (for QA) the infrastructure on Digital Ocean, and analog on AWS to optimize expenses.
Skills
AWSAzureData AnalysisMachine LearningMachine Learning ModelsAmazon DataZoneAmazon Quantum Ledger DatabaseAWS Data ExchangeAzure Machine LearningAzure Spot Virtual MachinesTerraform on Google CloudPrometheus
Industries
Internet / Web ServicesSoftware
Playtagon
DevOps Engineer
- Jan, 2014 - Jan, 2019
- Remote
- Standardizing and automating environment provisioning to simplify and speed up delivery.
- Implementation of CI / CD pipelines.
- Solution Architecture design such as clouds and servers platform with cost optimization.
- Full Integration in the agile teams (scrum ceremonies) of the project.
- Leverage cloud solutions to streamline the deployment of both cloud native and IaaS solutions.
- App Performance Monitoring & telemetry (for example logging exploitation for tools such as Splunk).
- Grow Playtagon’s DevOps Community and overall adoption of DevOps practices.
Skills
AWSAzureMachine LearningMachine Learning ModelsAmazon DevOps GuruAzure DevOpsAzure Machine LearningAzure Spot Virtual MachinesData Science Virtual MachinesLinux Virtual MachinesDevOpsTerraform
Industries
GamingMobile
Education
Bachelor's degree
- Systems Engineering
- National Technical University of Ukraine 'Kyiv Polytechnic Institute', Ukraine
- 2014
Certifications
Computer programming basics (on the Python language)
- Prometheus
- 2014
Introduction to Linux
- Stepik
- 2018
AWS Certified Solutions Architect - Associate
- Amazon Web Services (AWS)
- 2018
AWS Certified Cloud Practitioner (CLF)
- Amazon Web Services (AWS)
- 2020
All Skills
Languages
- TypeScript | 7 yrs
- Python | 7 yrs
- Bash | 7 yrs
Cloud
- AWS | 9 yrs
- Azure | 8 yrs
- Amazon DataZone | 8 yrs
- Amazon DevOps Guru | 8 yrs
- Amazon Quantum Ledger Database | 8 yrs
- Amazon S3 (AWS S3) | 7 yrs
- Amazon Simple Email Service (AWS SES) | 7 yrs
- Amazon Simple Notification Service (AWS SNS) | 7 yrs
- AWS Data Exchange | 7 yrs
- Azure DevOps | 7 yrs
- Azure Machine Learning | 7 yrs
- Azure Spot Virtual Machines | 8 yrs
- Data Science Virtual Machines | 8 yrs
- Linux Virtual Machines | 8 yrs
- Migrate to Virtual Machines | 8 yrs
- Terraform on Google Cloud | 9 yrs
- Virtual Machine Scale Sets | 8 yrs
- Virtual Machines | 8 yrs
- Windows Virtual Machines | 7 yrs
Tools
- Gitlab | 8 yrs
- Docker | 9 yrs
- Prometheus | 8 yrs
- Terraform | 9 yrs
- Ansible | 8 yrs
- Puppet | 8 yrs
- Chef | 7 yrs
AI
- Data Analysis | 7 yrs
- Machine Learning | 7 yrs
- Machine Learning Models | 7 yrs
Paradigms
- DevOps | 7 yrs