
Jenkins Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Jenkins
Michael F.
Last position:
Platform Architect (Project lead) at Würth IT
I designed and built a self-service AWS platform for Data Science teams with little or no infrastructure-as-code experience. A team writes about 10 lines of Python and gets a deployable stack with full SDLC release cycle that already follows the governance rules. Networking, encryption, IAM and tagging are decided by the platform, not by each team.
New teams or AWS accounts are onboarded with one pull request. Waste prevention and cost control is built into the defaults: Data scientists don't need infrastructure skills.
- Construct library (AWS CDK, Python). Built a versioned catalog of about 20 hardened constructs for being used in data-science projects with ML context
- Governance as code
- Multi-account, multi-tenant
- Golden-path scaffolding
- CI/CD and supply chain. Built reusable GitHub Actions workflows
- Release engineering
- QA with e2e, contract testing and unit test coverage with each release candidate
Timo H.
Last position:
Software Developer at Smiths Detection
- Extension of a Swing-based UI for recording Security Restricted Articles during baggage screening.
- Introduction of a new workflow for recording Deboarding Events.
- Extension of the reporting system for Security Restricted Articles and Deboarding Events.
- Implementation using JBoss Wildfly, PostgreSQL, spring-boot 3.x, Java 8/21, Swing, JSF, JAX-RS/Resteasy, Docker, Maven, Kiro.
Reinhold M.
Last position:
Business Requirements Engineer, Proxy Product Owner, Tester at AXA Konzern AG
Working Environment
- Insurance / Claims Management (Property, Liability, Automotive)
- REST-based ClaimAPI with Guidewire ClaimCenter
Scope
- Further development of the internal REST-based ClaimAPI with Guidewire ClaimCenter as the backend and various portals/front-end offices as clients, and with the following objectives: + increased AI-supported claims processing outside of Guidewire ClaimCenter + and support for all lines (property, liability, automotive).
- Further development of automated claims processing
Activities
- Interfacing IT & Business
- Design activities with documentation in Confluence, Jira: + Requirements engineering (functional and non-functional) + Design of REST endpoints and coordination with interface partners (esp. AI-colleagues) + Identification, design and evaluation of alternative solutions (moving away from a monolithic approach toward fine-grained endpoints, with code reuse across all lines if possible) + Creation / refinement of product backlog items in Jira, i.e. epics, user stories and tasks, incl. alignment with developers & POs during (pre-)refinement sessions + Using AXA Secure GPT when creating / refining user stories (description, acceptance criteria) and designing REST endpoints + Estimation and prioritization of user stories and tasks during Sprint Planning sessions + Coordination and support during the implementation of Product Backlog items + Driving decision making with preparation and presentation of decision-making documents
- Quality assurance: + Test management, including test case creation using Xray in Jira + Test execution using Bruno as REST client and in Guidewire ClaimCenter + Submission of test artifacts for PO approval + Analysis of production bugs
Methods Big Room Planning (aka PI-Planning in SAFe), Scrum, BPMN, EPK, UML, ERM, DDD
Tools / Tech Stack Teams, Confluence, Jira with Xray, OpenAPI/Swagger, REST, JSON, XML, MS Office, Bruno, GitHub repository (reading), Guidewire ClaimCenter, AXA Secure GPT (AXA's in-house GenAI solution based on Azure OpenAI)
Shamaila M.
Last position:
Founder/Kubernetes and Cloud Architect at Kubekanvas
- Developed browser based platform for kubernetes no-code deployment and cluster management
- Developed CLI in Typescript to deploy the resources in the cluster without leaving the browser UI.
- Implemented DevSecOps pipelines: image scanning, SBOM, policy enforcement, supply-chain security and used Kyverno. Implemented IAM integration for the command line utility tool.
- Designed role & permission models for Keycloak, oAuth/OIDC, social login flows.
- Used LLM to convert user intent into the diagram.
- Worked on integration with multiple Sovereign Cloud like stackIt, Hetzner, CIVO, UpCloud plus public clouds like AWS, GCP, Azure
- The technology stack includes Java, SpringBoot, Kubernetes, OpenAI, Kubernetes multi-tenancy using vCluster, Karpenter, RBAC for CLI, Helm, React
David B.
Last position:
TypeScript Developer & UX Designer at colle-il-diaccino.de
TOURISM
colle-il-diaccino.de · Holiday Accommodation
- Designed and developed the website: interactive site map, accommodation comparison, and image galleries.
- Implemented German, English, and Italian language versions. Set up inquiry forms with input validation and spam protection, language-specific SEO metadata, and automated tests.
Stack: Next.js, React, TypeScript, Tailwind, next-intl, React Hook Form, Zod, Resend, Playwright, Vitest
Loic N.
Last position:
Senior System Engineer at AG Solution
- Create and lead roadmap forecasting of support opportunities, including colleague training, process design and improvement, and new hire onboarding.
- Collaborate seamlessly with cross-functional teams including Professional Services, Support, Product, Sales, and Solution Engineering.
- Manage business and financial KPIs in alignment with overall business objectives.
- Industrial IT & Data Integration: Implement, configure, and integrate OT/IT systems and data flows, connecting control-layer sources (DCS, PLC, SCADA) to historians, data platforms, and enterprise systems through APIs and standard interfaces.
- AVEVA PI & Historian: Configure, maintain, and extend AVEVA PI (PI Data Archive, Asset Framework, interfaces/connectors) to capture, contextualize, and serve real-time and historical operational data.
- Alarm Management: Support and optimize alarm management systems – e.g. Honeywell Alarm Management – including alarm rationalization, classification, and the analysis of alarm performance, critical alarms, and alarm floods.
- Connectivity & Protocols: Set up and troubleshoot industrial connectivity using OPC UA and OPC A&E, including the configuration of tunnelers / wrappers to bridge OT data sources securely and reliably.
- Production Data Flow: Ensure seamless, secure, and well-structured data flow across the industrial IT landscape, transforming raw operational data into meaningful information for operations and decision-making.
- System Support & Troubleshooting: Provide ongoing support for OT/IT applications, troubleshooting issues across networks, software, and data integrations to keep systems running efficiently.
- Knowledge Management & Best Practices: Contribute to internal documentation, best practices, and troubleshooting guides, and help continuously improve how we deliver industrial IT and data solutions.
Tools & Software: Aveva PI, Salesforce, Active Directory, Microsoft Dynamics 365, Jira, Microsoft, Scrum, DevOps, Docker, CI/CD, Jenkins, GitHub.
Christian F.
Last position:
Project Lead & Cyber Security Consultant at Deutsche Börse Gruppe
- Established a cyber resilience framework for AI-accelerated threats in the Frontier AI Threat Endurance (FATE) program: capability assessments, maturity assessments and gap analyses covering cyber security, operational resilience, incident response, recovery and governance, followed by target concepts and improvement measures
- Supported action owners from specification through implementation: implementation roadmaps, decision papers, management presentations and governance reporting, as well as audit- and supervision-ready documentation; managed stakeholders from IT, Information Security, Risk Management, Operational Resilience, Business Continuity and the business units
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility
Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture
Pipeline orchestration with Azure Data Factory
Improved and automated the development and deployment process by integrating Git and GitHub Actions
Technical leadership of the Data Engineering team (3 employees)
Led workshops to optimize and stabilize the data platform and development process
Collected and prioritized new requests and maintained the product backlog
Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS Sharepoint, Mural
Robert D.
Last position:
Software Architect at FinTech / Wealth Management
- Analysis of existing microservice structures and integration into the event-driven architecture
- Design and implementation of prototypes
- Introduction of structured workflows and integration into a solid testing strategy
- Team: Small specialized team (3-5 people) from analysis through implementation readiness
- Documentation of architectural decisions and definition of interfaces
- Integration of the event-driven pipeline into the existing landscape
- Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase
Hachem S.
Last position:
Machine Learning & BI Lecturer at EU Business School
- Taught ML, BI, and Big Data to Master's students.
Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Khalid E.
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
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.
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.
Christian F.
Last position:
Architecture Management at Agency
Expert in the company's architecture management area
Support for standardizing the company's IT landscape
Further development of architecture management
Shaping the company's business architecture
Restructuring, administration and maintenance of all IT assets
Support in creating a unified software asset management and CMDB
Creation of unified document management (e-file)
Transition of documents into a central DMS structure
Link between architecture management and the department's internal business process management
Support in developing strategic and tactical development plans
Organizing communication with key stakeholders
Support in the conception, organization and coordination of the architecture office to be built up
Accompanying and advising the entire architecture management process
Advising the company's business units on architectural topics and their framework conditions
MS Office, Windows 10, VBA
ITIL, TOGAF, PowerBi, Kanban, Scrum
Internal agency tools
Open Touch Conversation, Webex, wire, bdbos
MS Sharepoint, JIRA, Confluence
ARIS, Archimate, BPMN
Discover over 15,000 top freelancers
Statistics of experts using Jenkins
Aggregated from the professional profiles of matched freelancers.
Experience
19 years

Position duration
5.1 years

Positions per freelancer
12

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Automotive

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
91%
Master's degree or higher
56%
Doctorate
6%

Certifications per freelancer
3

Most common languages
English, German, French

Speak two or more languages
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 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.
Discover detailed Jenkins rate benchmarks:
Explore rate insightsAverage rates of experts in Germany 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 29 Oct 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 (95%)
- Banking and Finance (49%)
- Automotive (46%)
- Manufacturing (36%)
- Retail (36%)
- Government and Administration (32%)
- Healthcare (31%)
- Telecommunication (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Continuous delivery core
Jenkins is an open-source automation server for building, testing and delivering software. Teams define repeatable pipelines that connect source control, quality checks, packaging and deployment. Its flexibility makes it useful for both established release processes and modern continuous integration workflows.
Pipelines and delivery
Jenkins Pipeline describes delivery logic as code, using either declarative or scripted syntax. Professionals create stages for checkout, compilation, unit tests, security checks, artifact creation and release approval. Shared libraries help teams reuse standards across many repositories without copying pipeline logic.
Plugins and integrations
The Jenkins ecosystem connects with Git, GitHub, GitLab, Bitbucket, Maven, Gradle, Docker and Kubernetes. Agents can run workloads on dedicated machines, containers or cloud infrastructure, while credentials and role-based access support controlled operations. Strong specialists also manage plugin compatibility, configuration as code and build data retention.
- Design multibranch and pull-request pipelines
- Connect Jenkins with registries, test tools and deployment targets
- Move workloads from static agents to container-based execution
- Document and standardize shared pipeline components
When expertise matters
Companies bring in freelance Jenkins specialists when pipelines are slow, fragile or difficult to maintain. They may need a migration from freestyle jobs, a secure integration with existing repositories, or a dependable path from commit to production. This work is common in industrial, automotive, financial and software teams across Germany, where delivery must fit established systems and compliance processes.
Quality signals
A strong professional treats Jenkins as part of a delivery system, not as an isolated tool. They understand version control, testing strategy, artifact repositories, containers, Kubernetes, Linux, networking and cloud environments. They make failures visible, keep secrets out of logs, control permissions and leave behind pipelines that other teams can understand.
Collaboration and outcomes
Freelance experts may work remotely with teams in Germany or join on-site sessions for workshops, migration planning and release coordination. Clear documentation, shared terminology and practical handover matter when several teams own different parts of the delivery chain. The result should be repeatable automation, faster feedback, safer releases and a maintainable Jenkins setup.
Frequently asked questions
Need clarity? These are the questions we hear most often about Jenkins.
Jenkins is used to automate continuous integration and continuous delivery. It can fetch source code, run builds and tests, scan dependencies, create artifacts and deploy them to environments. Teams can model these steps as repeatable pipelines instead of relying on manual release work.
Jenkins offers broad customization, a large plugin ecosystem and control over where automation runs. GitHub Actions and GitLab CI/CD are more tightly integrated with their respective source-control suites and often require less initial setup. The right choice depends on existing systems, governance needs, hosting preferences and the complexity of the delivery process.
A strong Jenkins specialist usually understands Git, Linux, scripting, Docker, Kubernetes and artifact repositories. Knowledge of Maven or Gradle, cloud infrastructure, testing frameworks, secrets management and infrastructure as code is also valuable. These adjacent skills help connect a pipeline to the systems it must actually operate.
The required level depends on the scope. A simple pipeline may need practical knowledge of Jenkinsfile syntax and source-control integration, while a migration or shared platform requires deeper experience with agents, credentials, plugins, scaling and failure recovery. Ask candidates to explain comparable delivery problems and the decisions they made.
Yes. Jenkins work is often well suited to remote collaboration because configuration, pipeline code and documentation can be reviewed online. On-site workshops can still help with migration planning, access constraints and coordination across German-speaking or international teams.
Clarify the current build system, source-control setup, deployment targets, security model and expected handover. A capable Jenkins freelancer should discuss pipeline design, plugin risks, test feedback, credentials and rollback rather than focusing only on getting a job to run. Request a concise plan with measurable technical outcomes, without relying on generic claims.
Jenkins CI is the common shorthand for Jenkins as a continuous integration tool. The project began under the name Hudson, but Jenkins is now the established name for the automation server and its wider continuous delivery capabilities. References to Jenkins CI usually point to the same ecosystem.
A good Jenkins pipeline is easy to read, produces useful feedback and behaves consistently across runs. Teams should review test coverage, build isolation, secret handling, permissions, artifact traceability, recovery steps and documentation. Quality also means that another professional can safely change the pipeline without depending on hidden manual actions.
The average hourly rate of freelancers in Germany who have used Jenkins in their recent projects is 93 €, which corresponds to a daily rate of about 747 € based on an 8-hour working day.
Of the freelancers in Germany who have used Jenkins in their recent projects, 91% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Germany who have used Jenkins in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 5.1 years.
The most common languages among freelancers in Germany who have used Jenkins in their recent projects are English (97%), German (97%), and French (18%).
The most common industries among freelancers in Germany who have used Jenkins in their recent projects are Information Technology (95%), Banking and Finance (49%), and Automotive (46%).
The most common business areas among freelancers in Germany who have used Jenkins in their recent projects are Information Technology (99%), Product Development (89%), and Quality Assurance (64%).
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.
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