Kubernetes Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Kubernetes
Sercan T.
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: System architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital placement platform that directly connects relatives of people in need of care with verified care services and caregivers – without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as the sole developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 using presigned URLs to verify care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and the placement process.
- Development of an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature flag architecture.
Carlos M.
Last position:
Implementation in Pimcore/Shopware
- Consulting, design, analysis, software architecture and development
- Design, development and implementation of a Pimcore environment and connection of several external API systems in a Kubernetes environment, as well as various PIM and ERP systems
- Technologies: Unix environment, design, Symfony development, design, PHP 8+, software architecture, MySQL/SQL, Shell Script, Git Dev Ops tasks, AI coding assistance, Pimcore 12, Shopware 6
- Team size: >10 people
Will O.
Last position:
Solution Architect at Polizei Behörde Stuttgart
Designed a migration strategy for WLS applications to BKA Cloud and Stack IT
Created a hybrid cloud for internal testing and development with Kubernetes
Transformed the IT landscape from an outdated monolithic architecture to a cloud-based architecture
Integrated new CI/CD processes using Azure Pipelines
Quadrupled the processing throughput for personnel security checks
Migrated personnel security screening applications to Docker-based applications
Implemented CI/deployment pipelines using Azure DevOps
Environment: Java Springboot, Kubernetes, Oracle Weblogic, OpenID, Camunda, JUnit, TOGAF
Matthias S.
Last position:
Software Developer and Consultant at CLADE GmbH
- Analysis of the existing CAN communication between microcontrollers
- Analysis of the sensors used and the measured values collected
- Planning the CAN messages for transmitting the measured values
- Iterative adjustment of the microcontroller code to the new CAN messages
- Cross-compilation from x64 to arm64
Ronald F.
Last position:
Senior IT Consultant – Requirement Engineer at Deutsche Bank - Strivion
Methodology: Agile project management
Goal: Digitization and implementation of CCD2 requirements within the Consumer Finance systems.
Analysis, identification, and assessment of business requirements, as well as their transfer into technical implementation requirements. Coordination and status reporting of the various requirements. Documentation and process management using UML and BMPN. Cross-functional stakeholder management, UAT testing, data management, API architecture management.
Tools: Jira, Confluence, Visual Code, Sql Developer, Enterprise Architect, MsOffice, Bruno, ALM, Camunda, Figma
Salim C.
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical consulting on Bitbucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Artyom N.
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Lothar H.
Last position:
Solution Manager for the investigation PoC and exchange and refinement of an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigation PoC and exchange and refinement of an existing cloud and IoT power plant control solution for certificate management of renewable energy power plants (solar, wind, biomass and others) of the largest European renewable energy power plant operator in this field, including investigation of the IoT devices used in the field and their integration and network connection with the aim of automated PKI key management.
- Messaging with Kubernetes for large API-connected enterprise applications
- Risk and Attack Vector Analysis, Software Quality & Bug Assessments
- Agile Workload Scheduling via Jira & ConJluence
- Evaluation of message streams Pub/Sub for MQ and KaJka.
- Various tests with “best design approaches” regarding resilience patterns such as Circuit Breaker Designs, Throughput Measurement and Monitoring, Bulkhead Governors - for robust EA design
- Integration of API Management with IBMs API Connect to Kubernetes - for agnostic Microservices API Management Designs. Google Apigee
- Solution Health Check Approaches for Load Burst Situations + Remedy
- Research and investigation of available potential subcontractors in the coordinating role as Solution Manager. CIS20 Controls.
- Dread and Stride Security Assessments.
Alexander Z.
Last position:
Fullstack Developer and DevOps Engineer at Freelancer
- Developing the infrastructure and improving existing infrastructure: Jenkins, Gitlab Pipeline, OpenShift, Docker, Helm Chart, Kubernetes, Artifactory, CodePipeline, CodeArtifact, Python
- Documenting solutions in Jira/Confluence
- Supporting other colleagues in different technical areas
Maik S.
- Development of a new generation of Spring Boot microservices for an archiving system on OpenShift, monitoring, security analyses
Stack: Java, Spring Boot, Kafka, Vaadin, OpenShift 4.x, Maven, Artifactory, Jenkins, Git/Github, GitHub Copilot, GitOps, CI/CD, Kargo/ArgoCD
Ivan G.
Last position:
Technical Lead at Porsche Digital GmbH
- Contributed to the design of the new financial services integration layer and moderated the architectural discussions
- Oversaw the security concept and approval of the application
- Prepared infrastructure setup and best practices for the Kotlin backend
Gildas D.
Last position:
System Team Lead Diagnostics – Hybrid & Electric Drives (HEV/MHEV/PHEV) for Transmission and Engine (NA/SA) at Stellantis e-transmission
- Technical lead of diagnostics activities for eDCT transmissions and drive systems in the area of hybrid (HEV), mild-hybrid (MHEV), and plug-in hybrid vehicles (PHEV)
- Responsibility for the development and validation of DTC strategies (OBD / EOBD) for markets in North and South America and the EU
- Coordination between interdisciplinary teams (system development, software, safety, calibration, after-sales)
- Creation and maintenance of diagnostic specifications (DID, DTC matrix, snapshot, freeze frame) according to STLA standards
- Support with troubleshooting, validation tests, EOL processes, and internal audits
- Technical interface to suppliers (Bosch, Valeo, etc.) in the area of actuators, sensors, and electric pumps
- Creation of diagnostic RFQ
Robin S.
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Benjamin S.
Last position:
Design and implementation of a new cloud service at Porsche AG
- Design of a new cloud service
- Requirements Engineering
- API Design (REST API, Kafka)
- Consulting on architecture, feasibility and effort estimation
- Implementation of a microservice architecture
- Implementation of a Spring Boot web service
- Development of REST APIs including business and persistence logic
- Kafka consumers and producers
- Various Excel upload/download scenarios
- Change Data Capture
- Cloud provisioning with IaC/Terraform
- Go-live with 30,000 users
- Operation, support and bug fixing for other services
Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers
Achille C.
Last position:
Backend/Frontend Developer at ITZ-Bund
Development of a microservice application for calculating postings on accounts
Development of backend components with Java or JEE, Quarkus, Kafka, Rest API
Development of the test component with mocking frameworks (Mockito)
Development of integration test components
Creation of OpenAPI specification format
Configuration of CI/CD pipeline
Development of frontend components with React
Design, further development and optimization of system structures
Code review
Java Corretto 21, JEE, Quarkus, Golang
Reactive programming with Spring WebFlux, Project Reactor
Git, Azure DevOps for CI/CD pipeline, YAML, Json Swagger UI, Postman, Rest OpenAPI, Kafka Streams, Kafka Connect, Log4J
Microservices, Jira, Confluence, MySQL, Docker, Kubernetes (deployment via Helm charts)
Spring Security, OAuth 2, JWT, Sonarqube
IntelliJ, Maven, logging framework Splunk, Agile method Scrum, Nexus, Vaadin V24, build tool Vite
React, React.JS, Node.js, Jess/JavaScript, Tailwind CSS, Agile method Scrum, accessibility BITV, Playwright
Discover over 15,000 top freelancers
Statistics of experts using Kubernetes
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.3 years (Germany: 5.1 years)
Positions per freelancer
16 (Germany: 12)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
56% (Germany: 57%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Stuttgart 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.
Discover detailed Kubernetes rate benchmarks:
Explore rate insightsAverage rates of experts in Stuttgart using Kubernetes
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.
Kubernetes 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 (90%)
- Automotive (80%)
- Banking and Finance (65%)
- Manufacturing (50%)
- Government and Administration (50%)
- Transportation (45%)
- Insurance (40%)
- Tourism (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Container orchestration
Kubernetes is an open-source platform for deploying, scaling and operating containerized applications. It schedules workloads across clusters, keeps services available and replaces failed containers automatically. Teams use it for APIs, web applications, data services, machine learning workloads and internal platforms.
Core components
A Kubernetes cluster combines a control plane with worker nodes. Pods run containers, while Deployments, StatefulSets and DaemonSets describe how workloads should operate. Services and Ingress expose applications, ConfigMaps and Secrets provide configuration, and persistent volumes support stateful systems.
Ecosystem and tooling
Strong Kubernetes work extends beyond cluster creation. Specialists commonly use:
- Helm and Kustomize for repeatable application releases
- Terraform or Pulumi for infrastructure provisioning
- Argo CD or Flux for GitOps delivery
- Prometheus, Grafana and OpenTelemetry for observability
- Container registries, policy tools and service meshes where needed
Typical engagements
Companies bring in freelance expertise when a cluster needs a safer foundation, a migration needs careful planning or delivery teams need more reliable releases. Common assignments include:
- Moving workloads from virtual machines or another orchestrator
- Designing multi-environment cluster and network layouts
- Building CI/CD pipelines with progressive delivery
- Improving cost control, resilience, security and monitoring
- Establishing internal developer platforms and reusable templates
When expertise matters
Kubernetes adds operational flexibility, but it also introduces networking, storage, identity, scheduling and upgrade decisions. Companies often need a specialist for a platform launch, a production incident, a major version upgrade or a transition to managed services. In Stuttgart, collaboration may involve local industrial, automotive or software teams alongside remote contributors, with clear documentation and strong English or German communication.
Signs of quality
A strong professional connects application needs with cluster behavior instead of treating Kubernetes as a collection of commands. Look for experience with production troubleshooting, backup and recovery, access control, resource policies and controlled upgrades. Practical evidence includes clear runbooks, meaningful dashboards, repeatable infrastructure and explanations of trade-offs between managed Kubernetes and self-operated clusters.
Frequently asked questions
Everything clients usually want to know about Kubernetes, in one place.
Kubernetes is used to deploy and operate containerized applications across a cluster of machines. It manages scheduling, service discovery, scaling, rolling updates and recovery, making it suitable for APIs, web platforms, data processing and internal services.
Kubernetes offers a broader ecosystem and a richer set of scheduling, networking, policy and extension options than Docker Swarm or Nomad. Those alternatives can be simpler for smaller environments, while Kubernetes is often chosen when teams need portability, mature tooling or complex operational controls.
Kubernetes work usually benefits from Linux, networking, containers, infrastructure as code and cloud experience. Useful adjacent skills include Helm, Terraform, GitOps, CI/CD, Prometheus, Grafana, identity management and secure software supply chains.
Kubernetes expertise should match the risk and scope of the engagement rather than a fixed time label. A production migration, cluster redesign or incident response needs evidence of operating comparable systems, while a contained development environment may need strong fundamentals and focused delivery.
Kubernetes projects can work well remotely when repositories, infrastructure definitions, access procedures and runbooks are organized. Stuttgart-based teams may still prefer occasional on-site workshops for architecture, incident planning or coordination across industrial and software operations.
Kubernetes is available as a managed service from major cloud providers, which can reduce control-plane maintenance and simplify upgrades. A specialist should compare that convenience with requirements for data location, networking, compliance, portability, cost visibility and the team's ability to operate the remaining components.
Kubernetes quality is visible in how clearly a professional explains failure modes, security boundaries, upgrade plans and recovery procedures. Ask for examples of production troubleshooting, infrastructure review, observability design and documented handover rather than relying only on certificates.
Kubernetes engagements may produce cluster architecture, Terraform modules, Helm charts, GitOps workflows, CI/CD pipelines, monitoring dashboards and operational runbooks. The right deliverables depend on whether the goal is a new platform, a migration, better reliability or a maintainable developer experience.
The average hourly rate of freelancers in Stuttgart, Germany who have used Kubernetes in their recent projects is 103 €, which corresponds to a daily rate of about 823 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Kubernetes in their recent projects, 100% hold at least a Bachelor's degree and 56% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Kubernetes in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Stuttgart, Germany who have used Kubernetes in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Stuttgart, Germany who have used Kubernetes in their recent projects are Information Technology (90%), Automotive (80%), and Banking and Finance (65%).
The most common business areas among freelancers in Stuttgart, Germany who have used Kubernetes in their recent projects are Information Technology (100%), Product Development (90%), and Quality Assurance (70%).
Main locations of FRATCH Experts, who have recently used Kubernetes
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 
Dusseldorf 
Leipzig 
Dortmund 
Essen 
Dresden 
Hanover 
Nuremberg Request a free demo
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FRATCH CEO
