Tekton Experts in Germany
matched in minutes by AIHire experts who create Kubernetes-native CI/CD pipelines, reusable Tekton Tasks and secure release workflows. Work with vetted, available freelancers matched to your technical needs, delivery model and project context.
Meet FRATCH Experts in Germany, who have recently used Tekton
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
Wolfram K.
Last position:
AI / Machine Learning Engineer (Projects & Applied AI) at UNIVERSITÉ PARIS 1 PANTHEON-SORBONNE & LIORA
- Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
- Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
- Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
- Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
- Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow
Robin W.
Last position:
Founder & Consultant · Platform Engineering & AI Infrastructure at RootVector.ai
- Built and operate a hybrid Kubernetes platform across bare metal and cloud to validate multi-GPU workloads, security-zone isolation, and disaster recovery.
- Operate self-hosted AI coding agents in the platform's Git workflow, from issue triage to pull-request review; every change is gated by manifest diffs and policy checks in CI.
- Co-developed a sensor-fusion and GPU edge-inference platform selected by the European Defense Tech Hub from 50 solutions for field testing.
Serge K.
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Nils K.
Last position:
Vulnerability management and secure SDLC at DB InfraGO AG
- Successful implementation of vulnerability management with DefectDojo
- Consulting and implementation of technical and process-related aspects of vulnerability management with DefectDojo
- Consulting on the implementation of a secure software development lifecycle
- Skills: Gitlab, DefectDojo, Vulnerability Management, SCA, SAST, DAST, Python, Kubernetes, ArgoCD, Docker, AWS, Azure, Whitesource/Mend, Greenbone
Ingo D.
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Thomas J.
Last position:
Backend Developer, DevOps Engineer at AXA Digital Experience
- Further development, modularization, and technical modernization of the My AXA customer portal using Scrum.
- Connection of new REST APIs to expand the digital product and service portfolio.
- Splitting a monolithic application into clearly defined business responsibilities.
- Continuous refactoring of complex code parts to improve maintainability.
- Supporting other teams with interface design and introducing WireMock for integration tests.
- Standardizing caching and resilience by introducing Spring Cache and Resilience4J.
- Cleaning up request validation according to JSR-170 and developing a simulation process.
- Further development of the code generator to transform OpenAPI contracts into client libraries.
- Development of dashboards and log file analyses using Loki and Grafana Cloud.
- Monitoring and reporting of production and QA systems.
- Tech stack: Java 21, Spring Boot 3, REST, Resilience4J, Docker, OpenAPI, Grafana Cloud, Jenkins, Tekton, OpenShift, AWS, GitLab.
Tobias H.
Last position:
Senior Java Web Developer at Deutsche Bahn
- Cloud-based Enterprise Service Bus/middleware development for communication between internal applications using Spring Boot and Apache Camel
- Use of AWS cloud computing technologies (e.g., EKS, EC2, S3)
- Development and configuration of modular base and adapter microservices with Camel DSL routing logic
- Designing interfaces and connecting via JMS (ActiveMQ, WebSphere MQ), REST, and SOAP
- Development of unit and integration tests
- Technical support for clients during requirement gathering
Jyothikrishna S.
Last position:
Senior Back-end Engineer at RLE Engineering and Services GmbH
- Works at Ford Motor Company as Senior Back-end Developer on contract via outsourcing
- Designed and developed REST APIs based on the analyzed requirements and technical standards
- Investigated issues and defects to determine root causes and formulate corrective action measures
- Participated in QA, stage, and production release activities
- Conducted code reviews for performance improvement
- Provided monitoring and support using GCP
- Used test driven and behaviour driven development approaches
- Took part in agile ceremonies
Mykhaylo K.
Last position:
Lead Developer Backend, Frontend, BPMN / Administrator at Main Customs Office, Department for Digital Affairs
- Development of backend, frontend, and BPMN processes in the Atlas Centralised Clearance for Import project
- Definition and implementation of REST, JMS, and SOAP endpoints
- Implementation of database access with JPA
- Implementation of BPMN processes with Camunda
- Frontend implementation with React
- Configuration of JBoss via CLI
- Performing code reviews
- Participating in communities of practice for developers and architects
- Implementation of frontend-backend communication with WebSockets
Janusz M.
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Immanuel B.
Last position:
Senior Full-Stack Developer at SCHUFA Holding AG
- Further development of features with React
- Integration of React applications with GraphQL
- Migration of AWS Lambdas based on Kotlin to TypeScript
- Advising the team on migration strategy for moving to serverless applications
- Preparing for the go-live of various projects (quality assurance, deployment, monitoring)
- Deployment of applications with AWS Amplify, AWS Lambda and GitHub Actions
- Technologies: AWS (Lambda, DynamoDB, CDK, Amplify, CloudWatch), React, Kotlin, TypeScript, Cypress, Selenium
- Methodology: Agile development with Scrum, Kanban
Discover over 15,000 top freelancers
Statistics of experts using Tekton
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.7 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
89%
Master's degree or higher
44%
Doctorate
11%
Certifications per freelancer
1
Most common languages
German, English, French
Speak two or more languages
100%
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 Germany 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 Germany using Tekton
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.
Tekton 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%)
- Automotive (69%)
- Banking and Finance (54%)
- Transportation (54%)
- Insurance (46%)
- Government and Administration (46%)
- Media and Entertainment (38%)
- Education (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Tekton foundations
Tekton is an open-source framework for building cloud-native CI/CD pipelines on Kubernetes. Its core resources, including Tasks, Pipelines, PipelineRuns and Workspaces, describe delivery steps as Kubernetes objects. Tekton Pipelines is the central project, while Tekton Triggers connects external events to automated runs.
Delivery workflows
Companies use Tekton to automate software compilation, testing, container image creation and deployment. It supports repeatable workflows across Kubernetes clusters and can connect source control, artifact registries, security checks and release systems. Its declarative model helps teams keep pipeline definitions alongside application configuration.
- Create reusable Tasks and Pipelines
- Connect webhook events through Tekton Triggers
- Publish images and artifacts through controlled workflows
- Promote releases across Kubernetes environments
Ecosystem and tooling
Strong Tekton specialists understand Kubernetes resources, containers, YAML and service accounts. They often work with Tekton Catalog, Tekton Chains for supply-chain provenance, and Tekton Dashboard for pipeline visibility. Related knowledge of Git, registries, Helm, cloud services and observability makes pipeline design more practical.
When expertise matters
Freelance expertise is useful when an existing CI/CD setup must move from server-based automation to Kubernetes-native delivery. It also helps when pipelines have become difficult to maintain, releases need stronger controls, or teams are introducing reusable standards across many services. In Germany, specialists may support remote delivery as well as workshops with teams working on site.
- Replace fragile or duplicated pipeline logic
- Introduce secure artifact signing and provenance
- Standardize releases across teams and clusters
- Improve failure handling, logs and pipeline ownership
What strong specialists deliver
Experienced professionals design small, composable Tasks instead of copying large pipeline scripts. They define clear parameters, Workspaces, result handling and secrets management, then test the workflow under failed builds, missing artifacts and interrupted runs. They also document operational ownership so teams can maintain the system after handover.
Choosing the right fit
Look for evidence of production Tekton Pipelines work, not only general Kubernetes knowledge. A strong specialist can explain why Tekton fits the delivery model, where another CI/CD tool may be simpler, and how to integrate existing repositories and registries. Clear communication in English or German can be important for distributed and on-site collaboration in Germany.
Frequently asked questions
Everything clients usually want to know about Tekton, in one place.
Tekton is used to define and run CI/CD workflows as Kubernetes-native resources. Companies use it for testing, container image builds, artifact handling, security checks and deployments across cloud environments.
Tekton is designed around Kubernetes resources and composable pipeline components, while Jenkins offers a broad plugin-based automation server and GitHub Actions is closely integrated with GitHub repositories. The right choice depends on platform ownership, portability, existing tooling and the team’s operating model.
Tekton work usually requires solid Kubernetes, container, YAML and Git knowledge. Useful adjacent skills include Helm, cloud identity, secrets management, artifact registries, observability and software supply-chain security.
Tekton projects need a specialist who understands both pipeline syntax and the Kubernetes control plane behind each run. A smaller proof of concept may need focused pipeline knowledge, while a production platform calls for experience with security, scaling, failure recovery and operational handover.
Tekton is well suited to remote collaboration because pipeline resources, configuration and documentation can be reviewed in shared repositories. Teams in Germany should agree early on communication language, cluster access, working hours and when on-site workshops are genuinely useful.
Tekton Triggers converts external events, such as repository webhooks, into parameterized PipelineRuns. It helps teams connect source control and delivery workflows while keeping event handling separate from the reusable pipeline definitions.
Tekton work is stronger when Tasks are reusable, permissions are limited, secrets are handled safely and failures are easy to diagnose. Ask for a walkthrough of pipeline design, testing strategy, rollback behavior and how the specialist documents ownership for the internal team.
Tekton Chains adds supply-chain metadata and signing around pipeline results, such as built images and artifacts. It is relevant when teams need verifiable provenance, stronger release controls or evidence about how an artifact was produced.
The average hourly rate of freelancers in Germany who have used Tekton in their recent projects is 96 €, which corresponds to a daily rate of about 766 € based on an 8-hour working day.
Of the freelancers in Germany who have used Tekton in their recent projects, 89% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Germany who have used Tekton in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Germany who have used Tekton in their recent projects are German (100%), English (100%), and French (15%).
The most common industries among freelancers in Germany who have used Tekton in their recent projects are Information Technology (100%), Automotive (69%), and Banking and Finance (54%).
The most common business areas among freelancers in Germany who have used Tekton in their recent projects are Information Technology (100%), Product Development (92%), and Quality Assurance (69%).
Main locations of FRATCH Experts, who have recently used Tekton
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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Philipp Thomaschewski
FRATCH CEO
