DANAIA KHUTOROVA

DevOps Engineer | AWS & GitOps Specialist Contact: telegram > @DanaiaRi, email > do.service.box@gmail.com

SUMMARY

Seasoned IT professional with over 8+ years of experience, specializing in DevOps for the last 5 years. Strong focus on standardization, Infrastructure-as-Code (IaC), and modern Cloud Native solutions. Expert in building scalable AWS environments using Terraform/Terragrunt and implementing GitOps workflows with ArgoCD. Passionate about leveraging AI (LLMs/Agents) to optimize engineering productivity. Committed to operational excellence with a disciplined "Plan & Rollback" approach to production environments.

TECHNICAL SKILLS

Cloud: AWS (EKS, VPC, IAM, S3, RDS), Azure (Basic).

IaC & Configuration: Terraform, Terragrunt, Ansible.

Orchestration: Kubernetes (EKS), Docker, Colima.

CI/CD & GitOps: ArgoCD, Helm, GitHub Actions.

Observability: Kube-prometheus-stack (Prometheus, Grafana), Loki, Thanos, Grafana GitSync.

Autoscaling: Karpenter.

DX & Productivity: Mise, Just, Devbox, Obsidian + Claude.

AI Ops: Claude Code, Custom AI Agents/Plugins for workflow automation.

PROFESSIONAL EXPERIENCE

DevOps Engineer | Gamebeat | Present

Infrastructure-as-Code: Managed complex AWS cloud services using Terraform and Terragrunt; automated Node Group provisioning and optimized cloud resource allocation.

GitOps Implementation: Standardized application delivery for microservices using ArgoCD and custom Helm charts, ensuring consistent and repeatable deployments.

Observability-as-Code: Integrated Grafana GitSync within the kube-prometheus-stack to manage monitoring dashboards via Git, ensuring transparency and version control.

AI Automation: Developed custom AI plugins for internal workflows (Claude-based), enabling automated Pull Request generation for infrastructure provisioning and reducing manual overhead.

Developer Experience (DX): Streamlined local development environments using Mise, Just, and Devbox, ensuring environment parity between local and production stages.

Reliability Engineering: Executed production maintenance with strict adherence to pre-defined Implementation and Rollback plans, maintaining high system availability.

CORE VALUES

Standardization First: Strong advocate for best practices and architectural consistency.

Operational Responsibility: Disciplined approach to production changes and incident management.

Continuous Learning: Active user of AI/LLM tools to optimize engineering workflows and documentation.

EDUCATION

Bachelor's Degree in Information Technology and Systems > Far Eastern State Transport University, Khabarovsk, Russia | 2016