Professional profile

Iurie Plesu

DevOps and Platform Engineer focused on Kubernetes, AWS infrastructure, Terraform, Kafka, GitOps, observability and reliable delivery automation.

Projects

Professional summary

I build cloud and platform systems with a practical focus on deployment, observability, infrastructure automation and clean operational boundaries. My engineering work includes a Kafka streaming platform on Kubernetes, an EKS operational toolset and Terraform-managed AWS foundations with private networking.

Core skills

Cloud & Infrastructure

AWS, Amazon EKS, VPC, private networking, IAM, S3 remote state, VPC endpoints, CloudFront, Lambda and DynamoDB.

Kubernetes & Platform

Kubernetes, Helm, Strimzi, ArgoCD, Karpenter, ingress-nginx, ExternalDNS, RBAC and readiness handling.

Automation & Delivery

Terraform, Docker, CI/CD workflows, image delivery, controlled apply flows, deployment dependencies and rollback planning.

Observability & Data

Kafka, PostgreSQL, Prometheus, Grafana, logging, service health, operational dashboards and API-backed data flows.

Selected engineering work

Event streaming platform

Kafka Streaming Platform

Designed an event path from Python producers through Kafka KRaft and a consumer API into PostgreSQL and a browser dashboard.

  • Configured three combined KRaft broker/controller nodes with replication factor 3 and minimum ISR 2.
  • Used six ArgoCD sync waves to order namespace, operator, Kafka, persistence, services and exposure.

Platform operations

EKS Platform Tools

Structured the day-two EKS layer around Karpenter, observability, ingress, DNS automation, RBAC and runner workloads.

  • Applied Spot-first t3/t3a capacity, 30-second consolidation, seven-day expiry and hard NodePool resource caps.
  • Documented 100% Spot usage across a 22-day tagged Cost Explorer period with no On-Demand fallback used.

Infrastructure automation

EKS Terraform Infrastructure

Built a Terraform-managed EKS foundation with private IPv6-primary workers, AWS service endpoints, IAM and remote state.

  • Separated VPC and EKS responsibilities across three AZs, six subnets and seven AWS service endpoints.
  • Verified IPv6 node and pod networking, DNS resolution and outbound IPv6 connectivity.

AI-assisted delivery

FitBack Coach and Engineering Workflows

Used AI-assisted requirement analysis, product iteration, engineering documentation and browser QA while keeping final technical judgment and verification explicit.

Certifications

Certified Kubernetes Administrator (CKA)

The Linux Foundation · Credential verified through Credly.

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Certified Kubernetes Application Developer (CKAD)

The Linux Foundation · Credential verified through Credly.

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AWS Solutions Architect - Associate

Certification preparation in progress.

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