Open to remote DevOps and platform engineering roles
DevOps Engineer · Yerevan, Armenia
DevOps engineer with 7+ years in software engineering and 5+ years running cloud infrastructure, Kubernetes, and delivery pipelines in production. A background in Java backend development means I know how applications are built as well as what it takes to run them reliably.
terragrunt run --all apply
network → security → cluster
→ data → platform → edge
infrastructure ready
git push origin main
test → scan → sign → publish
image signed with cosign
kyverno: signature verified
kubectl get applications -n argocd
37/37 Synced, Healthy
kubectl argo rollouts status api
canary → analysis → promoted
rollout healthy
What I do
AWS networks, EKS clusters, databases, and queues built with Terraform and Terragrunt, the same way in every environment.
Every change goes through Git and reaches production through Argo CD and Helm, with safe rollouts and easy rollbacks.
Metrics, logs, traces, and alerts with Prometheus, Grafana, and Loki, so problems are found before users notice them.
Least-privilege access, signed images, and policy checks, with AWS spending kept in line with real usage.
Experience
Skills
Credentials
Projects
Each one is built and documented the way a production team would do it, with the decisions and the problems written down.
A production-style AWS platform built entirely as code: three environments, GitOps delivery, signed images, full observability, and admin access without an open port. Any environment can be destroyed and rebuilt from Git.
This website, hosted on AWS for less than a dollar a month and run like a production service: infrastructure in Terraform, deployments without stored keys, strict security headers, and visitor statistics without a tracking script.
Incidents
Real failures from building Nexus, each traced to its root cause, fixed in code, and turned into a lesson.
Check every disruption budget against the replica count it protects.
Per-gigabyte charges hide in background jobs; read the flow logs before guessing.
Log volume is a cost decision to make per environment.
Scale on a signal that drops when a pod is added.
Contact
Open to remote DevOps and platform engineering roles. The fastest way to reach me is email or LinkedIn.