Jenkins Expert in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Jenkins
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
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 matchmaking platform that connects relatives of people in need of care directly 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 the 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 a solo 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 via presigned URLs for verification of 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 placement process.
- Building 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.
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
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
German R.
Last position:
Freelance Technical Product Owner & AI Product Builder at Neckarshore AI / Freelance
Two complementary tracks: (a) building my own AI products and open-source tools under the Neckarshore AI brand, with a focus on AI-supported multi-agent development processes and documentation automation; (b) freelance support for industrial, logistics, and financial companies in IT-related transformation projects.
Current product portfolio under the Neckarshore AI brand:
- Omnopsis Documenter — AI-powered documentation engine: generates compliance, technical, and release documentation from Git, Jira, and Confluence. 500+ automated tests, 100+ API endpoints, RBAC, monitoring stack.
- TrustScope — trust analysis for public GitHub repos: deterministic three-pillar report (Security & Supply Chain, Governance, Community) based on OpenSSF Scorecard, with constructive fix suggestions instead of a single misleading score.
- md-viewer — dependency-free Markdown viewer for macOS (Finder Quick Action) and web, split view of rendered document and raw text.
- Obsidian Vault Autopilot — AI-supported vault automation for Obsidian × Claude Code: sorts the inbox, renames notes, enriches frontmatter.
- Phonesis Voice Bank — voice archive for families, hospices, and cultural archives (guided recordings, inheritable archive, optional voice cloning); currently in the GDPR compliance phase (Art. 9, biometric data).
- Multi-Agent Development Process — 12+ specialized agents (architecture, implementation, security, refactoring, marketing) with structured handoff protocol, parallel execution, and automated quality assurance — powers the entire product development.
- Freelance consulting: Technical Product Ownership for production, logistics, and compliance/AML systems; steering international rollouts including test, cutover, and change management.
Stack: NestJS, TypeScript, PostgreSQL, Redis/BullMQ, Next.js, Claude Code (Opus), Docker, GitHub Actions, Vercel
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
Will O.
Last position:
Solution Architect at Stuttgart Police Authority
Designing the migration strategy for WLS applications to the BKA cloud and Stack IT
Creating a hybrid cloud for internal testing and development with Kubernetes
Transforming the IT landscape from a legacy monolithic architecture to a cloud-based architecture
Integrating new CI/CD processes using Azure Pipelines
Quadrupled the throughput of personnel security checks
Migrated personnel security clearance applications to Docker-based applications
Built CI/deploy pipelines with Azure DevOps
Environment: Java Spring Boot, Kubernetes, Oracle WebLogic, OpenID, Camunda, JUnit, TOGAF
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
Lothar H.
Last position:
Solution Manager for PoC investigation and for replacing and refining an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigating the PoC and replacing and refining an existing cloud and IoT power plant control solution for certificate management of renewable energy plants (solar, wind, biomass, etc.) for the largest European renewable energy network operator, including examining the field IoT devices and their integration and network connections, aiming for 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 & Confluence
- Evaluation of pub/sub message streams for MQ and Kafka.
- Various tests with “best design approaches” for resilience patterns like circuit breaker designs, throughput measurement and monitoring, bulkhead governors – for robust EA design
- Integration of API management with IBM's API Connect to Kubernetes for platform-agnostic microservices API management designs. Google Apigee
- Solution health check approaches for load burst situations + remedy
- Research and evaluation of potential sub-service providers in the coordinating role as solution manager. CIS20 controls.
- DREAD and STRIDE security assessments.
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
Ronald F.
Last position:
IT Consultant & Training at Various Small Projects & AI Training
- Development of multiple websites for small businesses (6)
- SEO/SEM
- Business Consulting (Implementation of ERP systems (Fresha / MS Dynamics))
- AI Tooling, Prompting & Coding
- GenAI Chatbot (GPT 4.0)
- Creation of a telephone agent (NLP services, Twilio, Python, Azure Services)
- Python coding, report & dashboard creation
- Stakeholder management and consulting throughout the project lifecycle
Training and Certifications in AI:
- Microsoft Azure AI Fundamentals
- Develop Gen AI Solutions with Azure Open AI Service
- Designing and Implementing a Microsoft Azure AI Solution
- Artificial Intelligence for the Business Professional
- Generative AI for the Business Professional
- Certified Artificial Intelligence Practitioner
Marcel S.
Last position:
Technical Lead / Lead Developer at REWE digital
- Due to an organizational restructuring towards product-based teams, the implementation of a Data Mesh in the area of Digital Supplier Management (DSM) was decided.
- A highly available real-time Data Mesh for providing large volumes of data via Kafka and REST to other products.
- New development of a core supplier management software in a (micro-)service-based architecture with a modern tech stack.
- Technologies/Tools:
- Java 21
- Spring Boot
- Angular
- TypeScript
- Go
- MapR
- Kafka
- Docker
- Google Cloud Platform (GCP)
- Kubernetes
- Helm
- GitLab CI
- Maven
- JUnit
- Mockito
- WireMock
- Cypress
- Keycloak
- OAuth 2.0 & OpenID Connect
- Humio
- Nexus
- Artifactory
- SonarQube
- Renovate
- Git
- Postman
- IntelliJ
Meenakumar V.
Last position:
Senior Embedded Technical Manager at IIT Madras Pravartak Technologies
- Led 14 member dev team and delivered postgresql database integration and performance optimization
- Delivered 8 K lines of C code with fewer defects (5 medium to low) in 8 months of development
- Integrate open source pgVector for AI application of the database for exact and nearest neighbor search
Alban T.
Last position:
C/C++ Developer on AIX Systems for SAP Kernel System Integration at IBM Research and Development
- AIX/Linux system administrator: deployment of LPARs (Logical Partitions) for SAP Kernel Development
- C/C++ SAP kernel development and integration to SAP HANA Database
- C/C++ programming and software integration, support for SAP kernel on AIX system; development and testing on SAP VDI
- Example: development of the ABEC Tool (AIX Build Environment Checker) to create SAP build environments for debugging process and benchmarking
- Benchmarking and test execution of SAP kernels (test from the communication to the SAP HANA Database and to SAP NetWeaver) on AIX
- Automate the SAP kernel build via Jenkins and benchmarking over crontab jobs
- New C/C++ compiler design and testing (based on Clang++ and LLVM)
- Customer ticket handling to resolve SAP kernel bugs and build failures
- SAP kernel development with Rust programming language, migrating some sub-kernel projects from C/C++ to Rust because of Rust's memory safety model, ownership system, and concurrency features
- Refactoring selected components in Rust and integrating them with existing C++ codebase via FFI
Discover over 15,000 top freelancers
Statistics of experts using Jenkins
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 19 years)
Position duration
1.7 years (Germany: 5.1 years)
Positions per freelancer
15 (Germany: 12)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
53% (Germany: 56%)
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Stuttgart are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Stuttgart using Jenkins
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Jenkins 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 (89%)
- Automotive (83%)
- Banking and Finance (78%)
- Transportation (50%)
- Government and Administration (50%)
- Manufacturing (44%)
- Aerospace and Defense (39%)
- Insurance (39%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Automated Continuous Delivery and Build Workflows
Jenkins serves as the foundation for enterprise continuous integration and continuous delivery. Originating as Hudson, the open-source automation server handles distributed builds, runs automated test matrices, and packages artifacts across varied runtime environments.
Pipeline as Code and Scripting Ecosystem
Modern CI/CD relies heavily on scripted and declarative syntax defined in a Jenkinsfile. Specialists create modular shared libraries using Groovy to ensure reusable logic, integrate SonarQube for quality gates, and orchestrate artifact management with JFrog Artifactory or Nexus.
High-Value Delivery Projects
- Setting up multibranch declarative pipelines for microservices
- Migrating static controller-agent setups to dynamic Kubernetes pods
- Hardening controller configurations with Configuration as Code
- Auditing security, secrets management, and role-based access
Industrial Automation in the Stuttgart Region
Automotive manufacturers, mobility suppliers, and industrial engineering enterprises across Stuttgart rely on on-premises and hybrid infrastructure. Specialists bridge traditional embedded build systems, hardware-in-the-loop test benches, and containerized cloud delivery.
Prerequisites for Scalable Pipeline Environments
- Container orchestration with Docker and dynamic Kubernetes agents
- Linux system administration, storage optimization, and network security
- Scripting proficiencies in Bash, Python, and idiomatic Groovy
- Source control integrations with GitHub Enterprise, GitLab, and Bitbucket
Distinguishing Traits of Strong Specialists
Experienced professionals avoid sprawling unmaintained plugins and build immutable agent images instead. They structure lightweight controllers, offload compute to autoscaling clusters, and treat every pipeline definition as version-controlled software.
Frequently asked questions
Key details about Jenkins, drawn from the questions we get asked most.
Jenkins automates the build, test, and release cycle across diverse operating systems and hardware targets. It unifies disparate developer tools, monitors code repositories for commits, and coordinates complex multi-stage delivery chains automatically.
While GitLab CI and GitHub Actions offer seamless cloud-native repository hosting, Jenkins provides superior flexibility for heterogeneous, on-premises, and legacy enterprise setups. It excels where deep customization, air-gapped security, or custom hardware runners are non-negotiable.
The Jenkins Configuration as Code plugin enables teams to define the complete controller state via reproducible YAML files. This eliminates manual configuration drift, simplifies disaster recovery, and ensures that setup changes can be reviewed in pull requests.
A capable Jenkins specialist typically brings strong proficiency in Linux administration, Docker containerization, and Kubernetes cluster operations. Mastery of Groovy shared libraries and cloud environments like AWS or private data centers is equally essential.
Industrial projects in Stuttgart often combine on-premises build servers with real-time test hardware and stringent compliance standards. Specialists configuring Jenkins Automation Server for these clients balance modern container workflows with physical test benches and secure enterprise networks.
Effective specialists apply the principle of least privilege using role-based access control and manage secrets via external vaults like HashiCorp Vault. They audit active plugins regularly, remove legacy dependencies, and run Jenkins controller instances on isolated private subnets.
Most declarative pipeline creation, shared library development, and migration to containerized runners can be handled completely remotely. For environments integrating specialized lab hardware or strict compliance requirements in Stuttgart, professionals often schedule periodic on-site workshops.
High-quality Jenkins implementations keep build definitions in version-controlled Jenkinsfiles and rely on shared libraries covered by unit tests. Controllers should remain stateless, pipelines should restart gracefully after transient errors, and builds must use ephemeral build agents.
The average hourly rate of freelancers in Stuttgart, Germany who have used Jenkins in their recent projects is 92 €, which corresponds to a daily rate of about 739 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Jenkins in their recent projects, 100% hold at least a Bachelor's degree and 53% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Jenkins in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Stuttgart, Germany who have used Jenkins in their recent projects are German (100%), English (100%), and French (22%).
The most common industries among freelancers in Stuttgart, Germany who have used Jenkins in their recent projects are Information Technology (89%), Automotive (83%), and Banking and Finance (78%).
The most common business areas among freelancers in Stuttgart, Germany who have used Jenkins in their recent projects are Information Technology (100%), Product Development (94%), and Project Management (72%).
Main locations of FRATCH Experts, who have recently used Jenkins
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 
Dortmund 
Essen 
Bremen 
Dresden 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
