Position: DevOps Engineer
Category: DevOps
English level: fluent
Years of experience: 4


Most recent projects:
1. Unified sales enablement platform.
• Planning, designing and implementing CI/CD process for the platform's microservices (k8s-based and serverless)
• Improving and updating existing CI/CD pipelines
• Deploying and managing the product infrastructure as code with Terraform and Crossplane
• Implementing the GitOps approach for the new product
• Configuring microservices and infrastructure monitoring with the Prometheus stack
• Automating trivial and release-related tasks
• AWS cost optimization

Tools and technologies: AWS (EKS, Lambda, RDS, etc.), Terraform, ArgoCD, kustomize, Helm, Crossplane, Bitbucket, Gradle, Jenkins, Prometheus/Grafana, ELK, Sonarcloud, Python, Bash, Groovy.
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2. AI-driven analytics platform. As part of the team DevOps team, I worked in two main directions:
• Managing/improving the product deployment and Helm charts (complex RKE/Kubespray based packages allowing customers to deploy the application along with the cluster from scratch in most Linux-based environments).
• Working on migration of the existing AWS-based infrastructure consisting of hundreds of customer environments to EKS: planning the new architecture and implementing IaC, developing automated workflows for managing and supporting new deployments, etc.

Tools/technologies:
Kubernetes, AWS (EKS, EC2, VPC, etc.), Jenkins, Helm, RKE, New Relic, Python, Groovy, Bash, Ansible.
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3. A cloud-based application for flight profile optimization which reduces costs and fuel burn via calculations based on the aircraft type, weather, and turbulence data. As part of the DevOps team, I worked on non-production environments delivery – from IaC templates to automated deployment and scheduled decommission. Additionally, our team configured monitoring for the production system, implemented custom checks for monitoring of services, and worked on automations for incident management.

Tools/technologies:
AWS (SSM, Lambda, SNS, CloudFormation etc.), Linux, Windows Server 2019, CouchDB, Consul, RabbitMQ, Octopus Deploy, TeamCity, Datadog, Python, PowerShell, Bash.
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4. An application portfolio for a trading company. The goal of this project was to design and implement an end-to-end CI/CD process for the company's new application in Azure. This included setting up hybrid infrastructure (IaC) with Terraform as well as creating pipelines in Azure DevOps.

Tools/technologies:
Ansible, TeamCity, GitHub, Ubuntu, PowerShell, Bash, Azure, Azure DevOps, Terraform.
No on-calls, no night shifts, no gambling-related projects.