Cloud Architecture & AWS
Designing and operating secure, scalable AWS environments with networking, compute, serverless and managed data services.
- VPC / IAM / Cognito
- EC2 / ECS / EKS / Lambda
- API Gateway / ALB / CloudFront
- Aurora / Redis / S3

CLOUD / AUTOMATION / INFRASTRUCTURE / AI
DevOps Engineer Cloud Automation AI
I design and build scalable infrastructure, automate complex workflows, and explore the intersection of cloud, AI and modern DevOps practices.
Designing and operating secure, scalable AWS environments with networking, compute, serverless and managed data services.
02Building reproducible infrastructure and managing its lifecycle through Terraform, Terraform Cloud and modular configurations.
03Running and troubleshooting containerized workloads on EKS with declarative deployment and cluster-level controls.
04Engineering security into cloud-native platforms through network controls, runtime detection and controlled infrastructure changes.
01 / ABOUT
I'm an AWS DevOps Engineer with 5+ years of experience working across cloud infrastructure, Kubernetes, Infrastructure as Code, CI/CD, observability and AI-enabled platforms.
My work sits between development and infrastructure: designing environments, automating delivery, migrating platforms and solving the operational problems that appear once systems are running at scale.
More recently, my focus has moved deeper into cloud-native security and platform engineering — working with EKS, Terraform Cloud, ArgoCD, Cilium, Falco, Hubble, Helm and Kustomize.
I also work with AWS AI services and GenAI architectures, including Bedrock, RAG, APIs, serverless infrastructure and Python-based tooling.
Designing and operating secure, scalable AWS environments with networking, compute, serverless and managed data services.
Building reproducible infrastructure and managing its lifecycle through Terraform, Terraform Cloud and modular configurations.
Running and troubleshooting containerized workloads on EKS with declarative deployment and cluster-level controls.
Engineering security into cloud-native platforms through network controls, runtime detection and controlled infrastructure changes.
Automating build, test and deployment workflows while standardizing engineering processes across teams and repositories.
Improving operational visibility through logs, metrics, dashboards and large-scale observability migrations.
Building practical AI workloads on AWS and connecting AI services with APIs, serverless infrastructure and retrieval systems.
Using Python and Go where infrastructure work benefits from custom tooling, APIs, monitoring and automation.
03 / PROJECTS
04 / CREDENTIALS
Kubernetes cluster administration, workloads, networking, storage, security and troubleshooting.
Kubernetes application design, deployment, configuration and operational practices.
AWS operations, monitoring, deployment, security, reliability and infrastructure management.
Foundational AI and machine learning concepts with practical AWS AI service knowledge.
Generative AI and large language model fundamentals.
Infrastructure as Code with Terraform, reusable configuration and infrastructure lifecycle management.
Python programming fundamentals and practical scripting knowledge.
System administration training — 2020.
System administration training — 2020.
University of Economics — graduated 2016.
05 / CONTACT
dzhaner@portfolio:~$ ./next-step
THE SYSTEM IS READY.
ARE YOU?