Lennart Krauch

Cloud Platform & Kubernetes Engineer

Building scalable cloud-native infrastructure with Kubernetes and Terraform. Specializing in platform engineering, automation, and distributed systems observability.

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Experience

Cloud Platform Engineer

inovex GmbH
  • Building a Database-as-a-Service (DBaaS) platform on Kubernetes supporting Postgres, SQLServer, and MongoDB
  • Developing internal Kubernetes Operators in Go to automate database lifecycle management and serving logic
  • Modularizing Terraform infrastructure and implementing monitoring for large-scale database serving across multiple worker clusters
  • Building additional internal tools and supporting operators
GoKubernetes OperatorsPostgreSQLTerraformMonitoringDBaaS

Working Student (Cloud Platform Engineering)

inovex GmbH
  • Ensured a seamless handover of the scrumlr.io infrastructure and operations to colleagues
  • Maintained operational stability of the app during the transition period
  • Created comprehensive technical documentation
KubernetesFluxCDTechnical Documentation

Bachelor Thesis

inovex GmbH
  • Topic: Measuring and Optimizing CO2 Emissions of a Kubernetes-based Cloud Application
  • Analyzed the carbon footprint of cloud-native infrastructure and implemented optimization strategies
GreenITPrometheusOptimizationCloud Infrastructure

Working Student IT Engineering & Operations

inovex GmbH
  • Development of Kubernetes infrastructure for scrumlr.io, including cluster deployment automation and Git versioning with FluxCD
  • Setup of high-availability Postgres clusters and backup infrastructure
  • Implementation of monitoring components including Grafana dashboards and alerts
  • Development of infrastructure for AI model serving using BentoML for text and image generation models
  • Mentoring and supporting development teams in infrastructure and DevOps practices
KubernetesTerraformFluxCDGitLab CI/CDPrometheusGrafanaBentoMLOpenStack

IT Engineering & Operations Intern

inovex GmbH
  • Supported the development of ParrotApp, a generative AI service platform
  • Containerized solutions using GitLab pipelines with Kaniko
  • Implemented monitoring and alerting systems
  • Assisted in GPU infrastructure setup for AI model deployment
PythonDockerGitLabPrometheusGrafanaBentoML

Technical Expertise

Programming Languages

GoPythonBashSQL

Cloud & Infrastructure

KubernetesOpenStackAzureAWSGCP

DevOps Tools

TerraformGitLab CI/CDFluxCDGitHub ActionsHelmAnsibleBentoML

Webservers & LB

NginxApacheTraefikCaddyHAProxy

Monitoring & Databases

PrometheusGrafanaVictoria MetricsInfluxDBPostgreSQLRedisSQLite

Development Tools

GitVSCodeVimZed

Education

B.Sc. in Computer Science

2020 — 2025
Hochschule Karlsruhe – University of Applied Sciences
Thesis Topic

Measuring and Optimizing CO2 Emissions of a Kubernetes-based Cloud Application