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Yevhen
DevOps engineer (AWS Cloud Infrastructure)
- Considering positions:
- DevOps engineer (AWS Cloud Infrastructure), Terraform specialist, CI/CD Automation specialist
- Age:
- 35 years
- City of residence:
- Other countries
- Ready to work:
- Remote
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Yevhen Volkov
DevOps Engineer | AWS Cloud Infrastructure | Terraform | CI/CD Automation
Budapest, Hungary · [open contact info ](look above in the "contact info" section) · [open contact info ](look above in the "contact info" section) · Viber, Telegram
PROFESSIONAL SUMMARY
DevOps Engineer with 5.5+ years of dedicated DevOps experience and a broader IT background
spanning more than 12 years, including systems administration, Linux-based server operations,
infrastructure engineering, and web technologies.
Experienced in designing, building, and maintaining AWS cloud environments from scratch,
including multi-account architecture, cloud networking, security controls, and Infrastructure as
Code using Terraform. Hands-on experience with AWS Organizations, AWS Control Tower,
Landing Zone concepts, CI/CD automation, containerization, and cloud infrastructure operations.
Combines strong technical expertise with team support and mentoring experience, including
improving development processes, monitoring infrastructure performance, creating training
programs, mentoring junior engineers, and participating in technical interviews and performance
reviews.
Focused on building secure, scalable, reliable, and maintainable cloud infrastructure through
automation, sound architectural decisions, and DevOps best practices.
TECHNICAL SKILLS
Cloud Platforms & Architecture
• AWS multi-account architecture, AWS Organizations, Organizational Units (OUs), Service
Control Policies (SCPs)
• AWS Control Tower, Landing Zone concepts
• Cloud infrastructure design, provisioning, maintenance, and optimization
• Microsoft Azure, IBM Cloud
Infrastructure as Code (IaC)
• Terraform: reusable modules, remote state management, workspaces, multi-environment
provisioning
• AWS CloudFormation
• AWS Serverless Application Model (SAM)
Networking & Connectivity
• Amazon VPC, public and private subnets, routing tables
• Internet Gateway, VPC peering, VPC endpoints, AWS PrivateLink
• VPN connectivity
• Security Groups, Network ACLs
• Cloud networking and access configuration
CI/CD & Release Automation
• GitHub Actions
• GitLab CI/CD
• Jenkins
• AWS CodePipeline, CodeBuild, CodeDeploy
• Tekton
• Automated build, test, deployment, and infrastructure delivery workflows
Security & Identity Management
• AWS IAM and IAM Identity Center
• AWS KMS encryption and key management
• AWS Secrets Manager
• OpenID Connect (OIDC)
• IAM policies, access controls, and security policies
• Infrastructure security configuration
Compute & Containers
• Amazon EC2, Auto Scaling
• Amazon ECS, Amazon EKS
• AWS Lambda
• Docker
• Kubernetes, Helm
• Container registries
• Red Hat OpenShift (proof of concept)
Monitoring & Observability
• Amazon CloudWatch
• Prometheus, Grafana
• Datadog, Zabbix
• Centralized logging, monitoring, and alerting
• Infrastructure health and resource utilization monitoring
Automation & Configuration Management
• Python
• Bash and shell scripting
• AWS CLI
• Ansible
• Infrastructure and operational task automation
Storage, Databases & Messaging
• Amazon S3, EBS, RDS, DynamoDB
• MongoDB
• Amazon SNS, SQS, MSK
• AWS Database Migration Service (DMS)
• Database administration and operational support
Operating Systems
• Linux
• Windows
• Linux-based server administration and support
LEADERSHIP & TEAM COLLABORATION
• Supported development teams by improving development workflows and integrating
infrastructure requirements into delivery processes.
• Monitored infrastructure health and performance, identifying opportunities for operational
improvements.
• Created training programs to support knowledge sharing and team development.
• Mentored junior team members, helping them develop technical skills and improve their
understanding of infrastructure and DevOps practices.
• Participated in technical interviews and employee performance reviews.
• Collaborated with development and QA teams to improve deployment processes, operational
stability, and cross-team communication.
PROFESSIONAL EXPERIENCE
DevOps Engineer
Confidential Company | 17 December 2020 – 30 June 2026
Worked on cloud infrastructure, deployment automation, and operational reliability across multiple
projects, with a strong focus on AWS environments and infrastructure engineering.
Key responsibilities and contributions
• Designed, provisioned, and maintained AWS cloud environments using Terraform.
• Built cloud environments from the ground up, covering account structure, networking,
security controls, and infrastructure provisioning.
• Worked with AWS Organizations, multi-account architecture, organizational units, and
service control policies to support structured cloud governance.
• Designed and configured AWS networking components, including VPCs, subnets, routing,
VPC endpoints, and private connectivity.
• Implemented and maintained infrastructure security controls using IAM, IAM Identity
Center, KMS, Secrets Manager, and security policies.
• Developed and maintained infrastructure automation and deployment workflows using
Terraform, CI/CD tools, and scripting.
• Supported containerized applications and microservices running on Jetson.
• Worked with monitoring, logging, and alerting tools to support infrastructure visibility,
troubleshooting and operational stability.
• Managed cloud resources and supported infrastructure cost optimization through resource
utilization monitoring and configuration improvements.
• Collaborated with development and QA teams to integrate infrastructure requirements into
application delivery workflows.
• Supported cloud infrastructure and deployment processes across projects involving event-
driven applications, healthcare analytics, and cloud-based data processing.
• Mentored junior team members, supported technical knowledge sharing, and contributed to
team development and process improvement.
SIGNIFICANT PROJECTS
1. AI-Powered Remote Visual Inspection Platform
Role: DevOps Engineer
Team size: 16
Technologies: AWS EC2, S3, EBS, SNS, SQS, KMS, Secrets Manager, DynamoDB, RDS, SES,
IAM, IAM Identity Center, AWS IoT, Greengrass, SageMaker, Lambda, CloudFront, CodePipeline,
Terraform, Docker, NVIDIA Jetson.
Project overview
An AI-powered platform designed to automate remote visual inspections by integrating cloud
infrastructure, machine-learning workflows, and edge computing devices.
Responsibilities and contributions
• Designed, provisioned, and maintained AWS infrastructure using Terraform to support
application workloads and machine-learning processes.
• Worked with AWS infrastructure components supporting application services, data storage,
messaging, and cloud-based processing.
• Containerized application components using Docker and supported deployment workflows
across cloud and edge environments.
• Implemented security controls using IAM policies, KMS encryption, and Secrets Manager.
• Managed infrastructure and deployment workflows for microservices integrated with AWS
IoT and AWS IoT Greengrass on NVIDIA Jetson edge devices.
• Supported machine-learning workflows using Amazon SageMaker.
• Monitored infrastructure utilization and contributed to cloud resource and cost optimization.
• Implemented and maintained monitoring and alerting practices to support system health and
operational reliability.
2. Income Verification Automation Platform
Role: DevOps Engineer
Team size: 8
Technologies: AWS EKS, ECS, RDS, KMS, MSK, SNS, SQS, DMS, Terraform, CloudFormation,
AWS SAM, Docker, Helm, MongoDB, Databricks.
Project overview
A cloud-native platform designed to automate income verification for public service programs. The
platform supports consent-based data sharing between users and government agencies, helping
reduce manual processing and improve fraud detection.
Responsibilities and contributions
• Provisioned and maintained AWS infrastructure using Terraform and CloudFormation.
• Supported infrastructure design and configuration for scalable, highly available application
workloads.
• Worked with containerized application deployment workflows using Docker and AWS
container services, including ECS and EKS.
• Configured AWS security controls, including KMS encryption and IAM policies.
• Managed infrastructure and deployment changes supporting microservices and event-driven
communication using Amazon MSK, SNS, and SQS.
• Supported database infrastructure involving Amazon RDS, MongoDB, DMS, Databricks.
• Monitored cloud resource utilization and contributed cost-efficiency improvements.
• Applied monitoring practices to support operational stability and maintainability.
3. Health Analytics Platform
Role: DevOps Engineer
Team size: 20
Technologies: AWS, IBM Cloud, Jenkins, Tekton, Ansible, Bash, Linux, Windows, Java application
delivery pipelines.
Project overview
A healthcare analytics platform designed to automate the collection and analysis of medical
statistics across organizations, supporting reliable data processing and reporting.
Responsibilities and contributions
• Designed and implemented Jenkins pipelines to automate CI/CD workflows.
• Managed and provisioned cloud infrastructure across AWS and IBM Cloud environments.
• Automated environment configuration and deployment using Ansible and shell scripting.
• Collaborated with DEV and QA teams to deployment processes into release workflows.
• Supported production and staging environments, troubleshooting and maintenance.
• Helped maintain envs consistency via automation and repeatable deployment procedures.
4. Insurance Information Delivery Platform
Role: DevOps Engineer
Team size: 20
Technologies: IBM Cloud, Microsoft Azure, Docker, Kubernetes, OpenShift, Jenkins, Grafana,
Prometheus, Linux, Windows, shell scripting.
Project overview
A healthcare integration platform supporting secure and scalable exchange of insurance information
between medical institutions.
Responsibilities and contributions
• Developed and maintained CI/CD toolchains supporting application delivery across cloud
environments.
• Deployed and configured Kubernetes clusters to support containerized applications.
• Automated build and deployment workflows using Jenkins and custom scripts.
• Configured and used monitoring tools, including Prometheus and Grafana, to improve
infrastructure visibility and support troubleshooting.
• Contributed to a proof of concept involving Red Hat OpenShift.
• Supported cloud infrastructure operations and deployment processes across Linux and
Windows environments.
EARLIER EXPERIENCE
Freelance IT Infrastructure & Web Systems Specialist
Freelance | 22 November 2017 – 16 December 2020
Provided technical services for websites, web applications, databases, servers, and network
infrastructure.
Responsibilities
• Set up and configured web servers and application hosting environments.
• Installed, configured, and maintained content management systems (CMS).
• Worked with website infrastructure, databases, and web application environments.
• Configured and maintained network and server components.
• Troubleshoot infrastructure, application hosting, and connectivity issues.
• Delivered technical solutions based on individual project requirements.
System Administrator
TOV TRC "Vector" | 29 April 2014 – 21 November 2017
Responsibilities
• Administered and maintained IT infrastructure, servers, and network environments.
• Provided Linux-based system administration and server support.
• Gained experience in 24/7 server operations, supporting service availability and operational
continuity.
• Installed, configured, and maintained operating systems and related infrastructure services.
• Monitored system performance and troubleshot server, software, hardware, and network
issues.
• Supported the reliable operation of IT systems and technical services.
EDUCATION
Kharkiv National University of Radioelectronics
Master's Degree in System Engineering
Qualification: Information Technology Design
Bachelor's Degree in System Engineering
Qualification: Computer Science
LANGUAGES
• English: Upper-Intermediate
• Ukrainian: Native
• Russian: Native
• Hungarian: Elementary
DevOps Engineer | AWS Cloud Infrastructure | Terraform | CI/CD Automation
Budapest, Hungary · [
PROFESSIONAL SUMMARY
DevOps Engineer with 5.5+ years of dedicated DevOps experience and a broader IT background
spanning more than 12 years, including systems administration, Linux-based server operations,
infrastructure engineering, and web technologies.
Experienced in designing, building, and maintaining AWS cloud environments from scratch,
including multi-account architecture, cloud networking, security controls, and Infrastructure as
Code using Terraform. Hands-on experience with AWS Organizations, AWS Control Tower,
Landing Zone concepts, CI/CD automation, containerization, and cloud infrastructure operations.
Combines strong technical expertise with team support and mentoring experience, including
improving development processes, monitoring infrastructure performance, creating training
programs, mentoring junior engineers, and participating in technical interviews and performance
reviews.
Focused on building secure, scalable, reliable, and maintainable cloud infrastructure through
automation, sound architectural decisions, and DevOps best practices.
TECHNICAL SKILLS
Cloud Platforms & Architecture
• AWS multi-account architecture, AWS Organizations, Organizational Units (OUs), Service
Control Policies (SCPs)
• AWS Control Tower, Landing Zone concepts
• Cloud infrastructure design, provisioning, maintenance, and optimization
• Microsoft Azure, IBM Cloud
Infrastructure as Code (IaC)
• Terraform: reusable modules, remote state management, workspaces, multi-environment
provisioning
• AWS CloudFormation
• AWS Serverless Application Model (SAM)
Networking & Connectivity
• Amazon VPC, public and private subnets, routing tables
• Internet Gateway, VPC peering, VPC endpoints, AWS PrivateLink
• VPN connectivity
• Security Groups, Network ACLs
• Cloud networking and access configuration
CI/CD & Release Automation
• GitHub Actions
• GitLab CI/CD
• Jenkins
• AWS CodePipeline, CodeBuild, CodeDeploy
• Tekton
• Automated build, test, deployment, and infrastructure delivery workflows
Security & Identity Management
• AWS IAM and IAM Identity Center
• AWS KMS encryption and key management
• AWS Secrets Manager
• OpenID Connect (OIDC)
• IAM policies, access controls, and security policies
• Infrastructure security configuration
Compute & Containers
• Amazon EC2, Auto Scaling
• Amazon ECS, Amazon EKS
• AWS Lambda
• Docker
• Kubernetes, Helm
• Container registries
• Red Hat OpenShift (proof of concept)
Monitoring & Observability
• Amazon CloudWatch
• Prometheus, Grafana
• Datadog, Zabbix
• Centralized logging, monitoring, and alerting
• Infrastructure health and resource utilization monitoring
Automation & Configuration Management
• Python
• Bash and shell scripting
• AWS CLI
• Ansible
• Infrastructure and operational task automation
Storage, Databases & Messaging
• Amazon S3, EBS, RDS, DynamoDB
• MongoDB
• Amazon SNS, SQS, MSK
• AWS Database Migration Service (DMS)
• Database administration and operational support
Operating Systems
• Linux
• Windows
• Linux-based server administration and support
LEADERSHIP & TEAM COLLABORATION
• Supported development teams by improving development workflows and integrating
infrastructure requirements into delivery processes.
• Monitored infrastructure health and performance, identifying opportunities for operational
improvements.
• Created training programs to support knowledge sharing and team development.
• Mentored junior team members, helping them develop technical skills and improve their
understanding of infrastructure and DevOps practices.
• Participated in technical interviews and employee performance reviews.
• Collaborated with development and QA teams to improve deployment processes, operational
stability, and cross-team communication.
PROFESSIONAL EXPERIENCE
DevOps Engineer
Confidential Company | 17 December 2020 – 30 June 2026
Worked on cloud infrastructure, deployment automation, and operational reliability across multiple
projects, with a strong focus on AWS environments and infrastructure engineering.
Key responsibilities and contributions
• Designed, provisioned, and maintained AWS cloud environments using Terraform.
• Built cloud environments from the ground up, covering account structure, networking,
security controls, and infrastructure provisioning.
• Worked with AWS Organizations, multi-account architecture, organizational units, and
service control policies to support structured cloud governance.
• Designed and configured AWS networking components, including VPCs, subnets, routing,
VPC endpoints, and private connectivity.
• Implemented and maintained infrastructure security controls using IAM, IAM Identity
Center, KMS, Secrets Manager, and security policies.
• Developed and maintained infrastructure automation and deployment workflows using
Terraform, CI/CD tools, and scripting.
• Supported containerized applications and microservices running on Jetson.
• Worked with monitoring, logging, and alerting tools to support infrastructure visibility,
troubleshooting and operational stability.
• Managed cloud resources and supported infrastructure cost optimization through resource
utilization monitoring and configuration improvements.
• Collaborated with development and QA teams to integrate infrastructure requirements into
application delivery workflows.
• Supported cloud infrastructure and deployment processes across projects involving event-
driven applications, healthcare analytics, and cloud-based data processing.
• Mentored junior team members, supported technical knowledge sharing, and contributed to
team development and process improvement.
SIGNIFICANT PROJECTS
1. AI-Powered Remote Visual Inspection Platform
Role: DevOps Engineer
Team size: 16
Technologies: AWS EC2, S3, EBS, SNS, SQS, KMS, Secrets Manager, DynamoDB, RDS, SES,
IAM, IAM Identity Center, AWS IoT, Greengrass, SageMaker, Lambda, CloudFront, CodePipeline,
Terraform, Docker, NVIDIA Jetson.
Project overview
An AI-powered platform designed to automate remote visual inspections by integrating cloud
infrastructure, machine-learning workflows, and edge computing devices.
Responsibilities and contributions
• Designed, provisioned, and maintained AWS infrastructure using Terraform to support
application workloads and machine-learning processes.
• Worked with AWS infrastructure components supporting application services, data storage,
messaging, and cloud-based processing.
• Containerized application components using Docker and supported deployment workflows
across cloud and edge environments.
• Implemented security controls using IAM policies, KMS encryption, and Secrets Manager.
• Managed infrastructure and deployment workflows for microservices integrated with AWS
IoT and AWS IoT Greengrass on NVIDIA Jetson edge devices.
• Supported machine-learning workflows using Amazon SageMaker.
• Monitored infrastructure utilization and contributed to cloud resource and cost optimization.
• Implemented and maintained monitoring and alerting practices to support system health and
operational reliability.
2. Income Verification Automation Platform
Role: DevOps Engineer
Team size: 8
Technologies: AWS EKS, ECS, RDS, KMS, MSK, SNS, SQS, DMS, Terraform, CloudFormation,
AWS SAM, Docker, Helm, MongoDB, Databricks.
Project overview
A cloud-native platform designed to automate income verification for public service programs. The
platform supports consent-based data sharing between users and government agencies, helping
reduce manual processing and improve fraud detection.
Responsibilities and contributions
• Provisioned and maintained AWS infrastructure using Terraform and CloudFormation.
• Supported infrastructure design and configuration for scalable, highly available application
workloads.
• Worked with containerized application deployment workflows using Docker and AWS
container services, including ECS and EKS.
• Configured AWS security controls, including KMS encryption and IAM policies.
• Managed infrastructure and deployment changes supporting microservices and event-driven
communication using Amazon MSK, SNS, and SQS.
• Supported database infrastructure involving Amazon RDS, MongoDB, DMS, Databricks.
• Monitored cloud resource utilization and contributed cost-efficiency improvements.
• Applied monitoring practices to support operational stability and maintainability.
3. Health Analytics Platform
Role: DevOps Engineer
Team size: 20
Technologies: AWS, IBM Cloud, Jenkins, Tekton, Ansible, Bash, Linux, Windows, Java application
delivery pipelines.
Project overview
A healthcare analytics platform designed to automate the collection and analysis of medical
statistics across organizations, supporting reliable data processing and reporting.
Responsibilities and contributions
• Designed and implemented Jenkins pipelines to automate CI/CD workflows.
• Managed and provisioned cloud infrastructure across AWS and IBM Cloud environments.
• Automated environment configuration and deployment using Ansible and shell scripting.
• Collaborated with DEV and QA teams to deployment processes into release workflows.
• Supported production and staging environments, troubleshooting and maintenance.
• Helped maintain envs consistency via automation and repeatable deployment procedures.
4. Insurance Information Delivery Platform
Role: DevOps Engineer
Team size: 20
Technologies: IBM Cloud, Microsoft Azure, Docker, Kubernetes, OpenShift, Jenkins, Grafana,
Prometheus, Linux, Windows, shell scripting.
Project overview
A healthcare integration platform supporting secure and scalable exchange of insurance information
between medical institutions.
Responsibilities and contributions
• Developed and maintained CI/CD toolchains supporting application delivery across cloud
environments.
• Deployed and configured Kubernetes clusters to support containerized applications.
• Automated build and deployment workflows using Jenkins and custom scripts.
• Configured and used monitoring tools, including Prometheus and Grafana, to improve
infrastructure visibility and support troubleshooting.
• Contributed to a proof of concept involving Red Hat OpenShift.
• Supported cloud infrastructure operations and deployment processes across Linux and
Windows environments.
EARLIER EXPERIENCE
Freelance IT Infrastructure & Web Systems Specialist
Freelance | 22 November 2017 – 16 December 2020
Provided technical services for websites, web applications, databases, servers, and network
infrastructure.
Responsibilities
• Set up and configured web servers and application hosting environments.
• Installed, configured, and maintained content management systems (CMS).
• Worked with website infrastructure, databases, and web application environments.
• Configured and maintained network and server components.
• Troubleshoot infrastructure, application hosting, and connectivity issues.
• Delivered technical solutions based on individual project requirements.
System Administrator
TOV TRC "Vector" | 29 April 2014 – 21 November 2017
Responsibilities
• Administered and maintained IT infrastructure, servers, and network environments.
• Provided Linux-based system administration and server support.
• Gained experience in 24/7 server operations, supporting service availability and operational
continuity.
• Installed, configured, and maintained operating systems and related infrastructure services.
• Monitored system performance and troubleshot server, software, hardware, and network
issues.
• Supported the reliable operation of IT systems and technical services.
EDUCATION
Kharkiv National University of Radioelectronics
Master's Degree in System Engineering
Qualification: Information Technology Design
Bachelor's Degree in System Engineering
Qualification: Computer Science
LANGUAGES
• English: Upper-Intermediate
• Ukrainian: Native
• Russian: Native
• Hungarian: Elementary
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