K3s Experts in Germany
for lightweight Kubernetes, matched in minutes with vetted freelance professionalsHire experts who run lightweight Kubernetes at the edge, automate cluster operations with Helm and GitOps, and connect K3s to cloud-native workloads. FRATCH finds the right vetted, available freelancer through fast, precise AI matching.
Meet FRATCH Experts in Germany, who have recently used K3s
Kiriakos K.
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
Maturing their API practices on both a business and technology level. My role covers strategy, architecture, developer advocacy as well as hands-on software engineering, enabling both technical teams and business leadership to adopt and act on API-centric principles effectively. Coincidentally, we also establish GitOps, DX and platform best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, React, Node.js, TypeScript, Redocly, reactive programming, CDC, Golang, Gin, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
Aurelia H.
Last position:
Software Full Stack Developer at INNIO Jenbacher GmbH & Co OG
- Implementing and extending an Electron app based on TypeScript, React and Node.js to display stream content and technical data
- Extending a Kotlin backend for message processing via Kafka
- Extending various React modules
- Programming custom solutions for customers, including testing
- Creating documentation
- Development in accordance with Scrum processes
Used skills: React, React Hooks, Jest, Vitest, Typescript, Electron, IntelliJ, Vite, Github, Jira, Node.js, yarn, npm, pnpm, Swagger, OpenAPI, Storybook, Docker, Prettier, Eslint, tailwindcss, i18n, GraphQL, CoPilot, Postgres, JSON, Sqlite, trpc, influxdb, Java, Spring, Kotlin, Kafka, Git, Sonarcube
Wadim L.
Last position:
Fullstack Developer at dripwear.app
Development of an iOS app for virtual try-on and outfit suggestions
The goal of the project is to develop a mobile application for personalized, photorealistic outfit suggestions. Users should be able to upload their own photos, try on clothes virtually, and find products that can be bought directly in the generated suggestions.
- Planning and implementation of the onboarding and photo upload in the iOS app
- Development of the mobile application with Expo and React Native
- Implementation of a Hono/Node.js backend for user, product, and generation processes
- Building an asynchronous processing pipeline with BullMQ and Redis
- Connection of PostgreSQL/pgvector and S3 for product, image, and generation data
- Integration of Gemini and OpenAI for outfit generation and image processing
- Implementation of a credit system and integration of RevenueCat
- Integration of Stripe Connect and affiliate product feeds for products that can be bought directly
Label: TypeScript, React Native, Expo, Hono, Node.js, PostgreSQL/pgvector, BullMQ, Redis, S3, Gemini, OpenAI, RevenueCat, Stripe Connect, Docker
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Olaf R.
Last position:
DevOps Architect / Consultant at Authority with increased security requirements
- Identification of requirements (legal, organizational, and technical)
- Design of solution architectures
- Evaluation of concepts and technologies
- Preparation of decision templates
- Architectural Decision Records (ADR)
- Coordination of implementation
- Review of implementations
- Documentation
Patrick W.
Last position:
AI Software Engineer at IppenMedia
- Analysis
- Consulting
- Software design
- Development
- Automation
- Testing
- Deployment
- Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
- Developed best practices for working with agentic systems and AI in practice
- Created code templates
Patrick E.
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Ivan V.
Last position:
Senior DevOps Engineer at 58agents
- Provision Kubernetes infrastructure on Azure, GCP, or bare-metal at the hosting provider
- Design and implementation of REST and GraphQL APIs
- Cloud governance (cost, compliance, security)
- Infrastructure-as-Code and CI/CD as code (Terraform, Ansible)
- Container technologies (Docker, Helm)
- Maintain and improve CI/CD pipelines (GitLab CI, GitHub Actions), Argo CD
- Deployment, scaling, and monitoring of microservices
- Distributed event streaming (Kafka)
- Message brokers RabbitMQ, MQTT
- Software development from scratch or further development of existing projects using PHP, Python, Go, C#, and Bash
Andreas K.
Last position:
Senior Developer at ioki GmbH, a Deutsche Bahn AG company
- Fullstack development based on Next.js and TypeScript
- Development and optimization of geospatial database queries for PostgreSQL/PostGIS
- Visualization of geospatial data using Mapbox
- Design and execution of load tests and performance optimizations
- Code reviews and documentation tasks
- Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS
Hendrik L.
Last position:
Senior Modernization Engineer – Legacy Web App Performance & Refactoring (Energy Sector) at Levering IT GmbH
Re-architected a web application that had grown over years, modularizing tightly coupled components
Reduced response times from several seconds to <50 ms
Removed performance bottlenecks
Simplified architecture so internal teams can implement features on their own again
Anton K.
Last position:
Head of Overall Technical Integration NSC / Hadoop Cloud Development at IABG
Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).
Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.
Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management lifecycle.
Kubernetes, OpenStack and Hadoop are used as the foundation.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.
Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.
Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, DB.
Technologies: Kubernetes (K3s, Rke2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3S), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Michal B.
Last position:
Senior Golang Engineer at STACKIT / Schwarz Gruppe
- Responsible for software engineering and DevOps in the Data & AI Platform - Intake and PubSub projects at STACKIT, the cloud provider of the Schwarz Group.
- Technologies: Golang, Kubernetes, Kubernetes operators, OpenAPI v3, REST API, Azure DevOps, CI/CD, k6, Kafka, Strimzi, Apache Iceberg, RBAC, IAM, Terraform, Helm, Infrastructure automation, Load balancing, Traefik, ArgoCD, kuttl, Kyverno chainsaw, Kustomize, Velero, Prometheus, Grafana, Checkly / Playwright (TypeScript), NATS/Jetstream, WebSockets, gRPC, SSE
Stephan S.
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Taher S.
Last position:
DevOps Engineer at Confidential
- Working with developers, security, and operations teams to align requirements
- Supporting product owners and development teams in using logging and monitoring solutions based on the Elastic Stack
- Developing and standardizing log schemas as well as defining practical standards for observability
- Designing and further developing logging architectures for complex, distributed multi-tenant environments
- Connecting application and infrastructure logs as well as security tools and metrics
- Optimizing data flows and modeling for analysis and reporting purposes
- Building automated infrastructures using Terraform/Terragrunt and Ansible
- Maintaining and further developing CI/CD pipelines in GitLab as well as automated development environments in Hetzner Robot
- Operating and automating Proxmox clusters including Ceph storage
- Setting up and operating Kubernetes (k3s) clusters on Fedora CoreOS including base services such as Vault, OpenLDAP, and HA Proxy
- Implementing security-critical infrastructures according to BSI baseline protection and securing existing systems
- Supporting the operation of solutions in cloud environments (including AWS)
- Working in agile teams using Scrum and Kanban
- Technologies/ applications: Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana), Terraform, Terragrunt, Ansible, GitLab CI/CD, GitOps, Proxmox, Proxmox Ceph, Kubernetes (k3s), OpenShift, Helm, Kustomize, Vault, OpenLDAP, HA Proxy, Hetzner Robot systems, AWS, Prometheus, Grafana, Syslog Linux/Windows, Docker, NGINX, Apache Security & Compliance (BSI baseline protection, SIEM/SOC)
Torsten G.
Last position:
Data Vault with Informatica on Oracle at SEFE
- Data Vault modeling and performance improvements in Oracle.
- Requirements process with model-driven Data Vault automation.
- Preparation of business requirements for the price database in the gas and electricity market.
- Sales performance based on Salesforce CRM.
- Tasks: Concept and development.
- Tools used: Informatica, Oracle, DBT, Docker, DataOps, Airflow Workflow, Python Ingestion, Gitlab CI.
Discover over 15,000 top freelancers
Statistics of experts using K3s
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.4 years
Positions per freelancer
18
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Operations, Business Intelligence
Bachelor's degree or higher
91%
Master's degree or higher
64%
Doctorate
9%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
94%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using K3s
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
K3s experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Banking and Finance (53%)
- Automotive (47%)
- Energy (47%)
- Healthcare (47%)
- Manufacturing (47%)
- Government and Administration (47%)
- Retail (47%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Lightweight Kubernetes
K3s is a certified Kubernetes distribution packaged as a small, simple binary. Originally created by Rancher Labs and now part of SUSE’s ecosystem, it removes or streamlines components that are less useful in constrained environments. Companies use it to run containerized workloads on edge devices, remote sites, development machines and compact cloud environments.
Where K3s fits
K3s brings Kubernetes APIs and familiar workload patterns to places where a full cluster would add unnecessary operational weight. Typical applications include:
- Edge computing for factories, stores and connected equipment
- Local clusters for branch offices and remote locations
- Lightweight development, testing and demonstration environments
- IoT gateways and applications with intermittent connectivity
Ecosystem and tooling
K3s includes practical defaults such as containerd, CoreDNS, Traefik and ServiceLB, while remaining compatible with much of the Kubernetes ecosystem. Specialists commonly work with Helm charts, kubectl, Kustomize, Prometheus, Grafana, Flux or Argo CD, and storage options such as Longhorn. They also connect clusters to registries, ingress controllers, secrets management and cloud services.
When expertise matters
Companies bring in freelance K3s expertise when they need a reliable cluster design without building a large internal operations function. Common assignments include selecting the datastore, configuring high availability, hardening nodes, migrating workloads from another Kubernetes distribution and establishing repeatable provisioning. In Germany, projects may combine remote delivery with on-site work at production, logistics or industrial locations.
Signs you need support
K3s is approachable, but production reliability depends on careful decisions around networking, storage, upgrades and recovery. External expertise is useful when a team faces:
- Unclear architecture for single-node or multi-node deployments
- Difficulties with offline operation, fleet updates or remote access
- Inconsistent Helm releases and configuration across sites
- Gaps in monitoring, backup, security or incident response
Strong professional practice
Strong K3s professionals understand Kubernetes fundamentals as well as the constraints of edge infrastructure. They can explain trade-offs between SQLite, embedded etcd and external datastores, document node roles and test failure recovery. They treat upgrades, certificates, access control and observability as part of the deliverable, not as later fixes. Clear runbooks and infrastructure-as-code make the resulting clusters easier for internal teams to operate.
Frequently asked questions
Quick answers to the questions that come up most around K3s.
K3s is used to run Kubernetes workloads where a compact footprint and straightforward operations matter. Typical settings include edge sites, industrial systems, retail locations, IoT gateways, remote branches and lightweight development environments.
K3s provides the Kubernetes control plane and API while packaging them in a smaller, opinionated distribution. Compared with a full upstream installation, it usually requires less infrastructure to operate, but teams still need to assess storage, networking, security and availability requirements.
K3s is a Kubernetes distribution, while Rancher is a management system that can provision and operate Kubernetes clusters. They are often used together, but K3s can also be installed and managed with tools such as Ansible, Helm, Terraform or GitOps workflows.
A strong K3s specialist should understand Kubernetes networking, Linux, containerd, Helm and ingress configuration. Experience with GitOps, infrastructure as code, monitoring, backup systems and edge hardware is valuable when the cluster supports production workloads.
The right level depends on the risk and scope of the assignment. A small proof of concept may need solid Kubernetes fundamentals, while production fleets require demonstrated work with high availability, upgrades, secure access, observability and recovery testing.
K3s projects can often be delivered remotely through infrastructure as code, secure access and documented runbooks. On-site collaboration may still be important when specialists must connect physical edge nodes, inspect industrial equipment or coordinate deployment at distributed locations.
Ask for a clear explanation of cluster topology, datastore choices, upgrade planning and failure recovery. A capable K3s professional should show how they monitor workloads, protect access, manage configuration changes and leave the team with usable documentation.
K3s deployments can become fragile when connectivity, storage, certificates or node lifecycle management are treated as afterthoughts. Professionals should plan for disconnected operation, reliable backups, controlled updates, hardware failure and consistent configuration across sites.
The average hourly rate of freelancers in Germany who have used K3s in their recent projects is 108 €, which corresponds to a daily rate of about 868 € based on an 8-hour working day.
Of the freelancers in Germany who have used K3s in their recent projects, 91% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Germany who have used K3s in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Germany who have used K3s in their recent projects are German (100%), English (94%), and Spanish (24%).
The most common industries among freelancers in Germany who have used K3s in their recent projects are Information Technology (100%), Banking and Finance (53%), and Automotive (47%).
The most common business areas among freelancers in Germany who have used K3s in their recent projects are Information Technology (100%), Product Development (88%), and Project Management (59%).
Main locations of FRATCH Experts, who have recently used K3s
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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FRATCH CEO
