Frankfurt am Main, Germany

David Zhorzholiani

System Engineer for DevOps & Infrastructure Automation

System Engineer with hands-on experience in infrastructure automation, system administration, and DevOps tooling across Linux and Windows environments. I work with Terraform, Ansible, VMware, monitoring, endpoint management, Python, and Bash. My software projects also cover Rust, Kubernetes, eBPF observability, and evidence-grounded AI systems.

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Python

Usage

Infrastructure automation, backend services, and multi-agent systems.

Focus

FastAPI, Flask, Ansible workflows, research pipelines, and operational tooling.

Rust

Usage

Kernel-native observability and low-overhead network analysis.

Focus

eBPF with Aya, zero-copy packet parsing, and resource-constrained containers.

Kubernetes

Usage

Orchestrating containerized services and node-level observability workloads.

Focus

DaemonSets, sidecars, Helm, resource budgets, and Prometheus integration.

Terraform

Usage

Reproducible infrastructure provisioning across hybrid environments.

Focus

Company-wide automation supporting provisioning and configuration for 200+ servers.

Ansible

Usage

Configuration management and automation across Linux and Windows servers.

Focus

Playbook execution, secure operational workflows, and consistent server states.

VMware

Usage

Virtual infrastructure, customer environment reproduction, and hybrid operations.

Focus

VMware ESXi, vSphere, and Aria Automation.

Observability

Usage

Monitoring system health, traffic, vulnerabilities, and service behavior.

Focus

Prometheus, Grafana, Checkmk, Rapid7, and eBPF.

AI Orchestration

Usage

Evidence-grounded research pipelines and provider-agnostic agent systems.

Focus

LLM routing, MCP, Ollama, Qdrant, FastEmbed, and Redis.

Linux & Windows

Usage

Cross-platform administration, automation, and troubleshooting.

Focus

Linux, Windows Server, PowerShell, Bash, Intune, VPN, and network segmentation.

Experience

System Engineer

September 2025 -- Present

Vinci Energies · Frankfurt am Main, Germany

  • Manage hybrid server infrastructure across Linux and Windows Server environments, focusing on configuration consistency, stability, and availability.
  • Automate infrastructure provisioning and configuration management with Terraform and Ansible.
  • Maintain monitoring and security operations through Checkmk, Rapid7, and automated SSL/TLS lifecycle management.
  • Built an internal automation platform adopted company-wide, automating provisioning and configuration for 200+ servers with Python, Ansible, and Terraform.
AnsibleTerraformLinuxWindows ServerCheckmkRapid7Microsoft IntuneSSL/TLSPythonVMware Aria Automation

System Engineer Intern

June 2024 -- June 2025

Stonebranch · Frankfurt am Main, Germany

  • Investigated cross-platform system issues by reproducing customer environments with VMware ESXi and vSphere across Linux, Windows, and z/OS systems.
  • Built Bash and Python automation to reduce manual operational work and improve recovery workflows.
  • Supported monitoring and distributed automation tasks using Stonebranch Universal Automation Center.
Multi-OS administrationVMware ESXi/vSphereBashPythonSQLStonebranch Universal Automation Center

Software Engineer

November 2021 -- April 2022

Brandergate · Tbilisi, Georgia

  • Developed and maintained REST APIs with Django REST Framework for an AI-focused software platform.
Next.jsDjangoDjango REST FrameworkSQLPython

Python Developer

February 2021 -- June 2021

Propertify · Tbilisi, Georgia

  • Contributed to a property investment platform hosted on AWS with payment integration and PostgreSQL-backed application features.
PythonDjangoAWSPostgreSQL

Skills

Programming & scripting

RustPythonBashPowerShellJavaScriptC++

DevOps & IaC

TerraformAnsibleDockerKubernetesDocker ComposeHelmGitHub ActionsJenkinsGitLab CI

Infrastructure

Linux (yum, dnf, apt)Windows ServerVMware ESXi/vSphereVMware Aria AutomationHyper-V

Cloud

AWSAzureCloudflare

Monitoring & Security

PrometheusGrafanaCheckmkeBPFRapid7IntuneSSL/TLS

AI & orchestration

Multi-agent systemsLLM routingMCPOllamaQdrantFastEmbedRedis

Backend & APIs

FastAPIDjangoDjango REST FrameworkFlaskRESTWebSocketSSE

Data & frontend

MariaDBPostgreSQLSQLiteAlembicReactTypeScriptViteTailwindnginx

Networking

ProxyVPNFirewall ManagementNetwork TroubleshootingNetwork SegmentationKernel Tuning

Credentials

Education

Bachelor of Science in Computer Science

Goethe University Frankfurt, Germany

Languages

English

C1

German

C1

Georgian

Native

Russian

B1-B2

Certifications

Introduction to Jenkins LFS167

The Linux Foundation

Containers and Kubernetes Essentials

IBM

Award

Hackathon winner with DI-VIP

LAUNCH Rhein-Main 2026, SCHOTT AG Challenge

Some of my projects

see more on github

DI-VIP Smart Opportunity Finder

The winning LAUNCH Rhein-Main 2026 project for the SCHOTT AG Challenge: an evidence-grounded system that identifies and ranks strategic opportunities against a company competency model.

  • Implemented an eight-stage pipeline for query planning, parallel research, evidence verification, scoring, ranking, streamed briefings, and adversarial review.
  • Connected 11 research adapters across clinical trials, patents, regulatory data, publications, grants, filings, and tenders.
  • Added deterministic trust gates, source-diverse evidence selection, multi-provider LLM fallback, and an on-premises path.
PythonFastAPIReactTypeScriptDockerMariaDBQdrantSSE

ayaFlow

A high-performance, eBPF-based network traffic analyzer written in Rust. Designed to run as a sidecarless DaemonSet in Kubernetes.

  • Developed a Rust-based, kernel-native network traffic monitor designed as a sidecarless Kubernetes DaemonSet.
  • Used eBPF with the Aya framework to capture ingress and egress traffic and exposed live analytics through REST, WebSocket, Prometheus, and SQLite.
RusteBPFAyaKubernetesPrometheus
View on GitHub

LightShark-mini

A lightweight Rust network analyzer for Kubernetes sidecars with a 4.5 MB binary and about 15 MB RAM usage.

  • Implemented zero-copy packet parsing, REST and WebSocket streaming, and SQLite persistence.
  • Supports resource budgets as low as 16 Mi memory and 10m CPU.
RustKubernetesRESTWebSocketSQLite
View on GitHub

OpenWorkers

A containerized multi-agent Python system with Redis and provider-agnostic routing across Anthropic, OpenAI, and DeepSeek.

  • Implemented MCP server components, automated tests, and CI/CD workflows with GitHub Actions.
PythonRedisMCPDockerGitHub Actions
View on GitHub

SimpleAutomatica

A secure Flask interface for running Ansible playbooks, PowerShell, and shell scripts on Linux servers.

  • Implemented authentication, activity logging, dynamic file discovery, and systemd integration.
FlaskAnsiblePowerShellLinuxsystemd
View on GitHub

n-Body Simulation

A C++ simulation with sequential CPU and parallel OpenCL implementations plus real-time SFML visualization.

C++OpenCLSFMLParallel Computing
View on GitHub

eigenFaces

Interactive Streamlit application that visualizes the Eigenfaces facial recognition algorithm and demonstrates PCA-based dimensionality reduction.

  • Created for webcam-based Eigenfaces recognition and PCA pipeline exploration.
PythonStreamlitPCAMachine Learning
View on GitHub