Tekton Experts in Germany
to automate cloud-native delivery with precise AI matchingHire experts who design reusable Tekton Tasks and Pipelines, connect Kubernetes-based delivery workflows, and integrate enterprise security and registries. FRATCH matches you quickly with vetted, available freelancers who fit your technical needs.
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
Serge K.
Last position:
Data Scientist & 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
- Development of feature store and data synchronization between environments
- Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
- Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
- Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
- Development of Copilot Agent Skills
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.
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
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
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
Ingo D.
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of approaches for developing and automatically deploying cloud-native software and machine learning programs 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
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
19 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 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 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 29 Oct 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 (75%)
- Banking and Finance (58%)
- Transportation (58%)
- Insurance (50%)
- Government and Administration (50%)
- Media and Entertainment (42%)
- Education (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Tekton in practice
Tekton is an open-source framework for building cloud-native continuous integration and delivery pipelines on Kubernetes. It represents work as reusable Tasks and Pipelines, with results stored as workspace files, parameters and results. Companies use it to test, package, scan and release applications through consistent, Kubernetes-native workflows.
Core building blocks
A Tekton setup usually combines Tasks, Pipelines, PipelineRuns and TaskRuns. Experts define dependencies, workspaces, parameters, conditions and retries in Kubernetes resources, then manage execution through the Tekton controller. Triggers can start runs from source-control events, container image updates or external systems.
Ecosystem and tooling
Tekton integrates with the wider cloud-native toolchain rather than replacing it. Strong specialists commonly work across:
- Tekton Pipelines, Triggers and Dashboard
- Kubernetes, Helm and Custom Resource Definitions
- Container registries, Git providers and artifact repositories
- GitOps tools, policy checks and secrets management
- Cloud services and cluster observability
When companies need expertise
Freelance expertise is useful when a team is moving from scripted jobs to portable Kubernetes workflows or needs a reliable delivery foundation for many services. It also helps when pipeline definitions have become difficult to maintain, releases need stronger controls, or an internal team must connect Tekton with existing build, security and deployment systems.
Typical deliverables
Tekton professionals may create reusable task catalogs, environment-specific pipelines and event-driven release flows. They can also establish conventions for workspaces, credentials, image promotion, test reports and failure handling. In Germany, remote collaboration is common, while on-site workshops can help align platform, security and delivery teams in regulated industries.
What strong experts bring
The best specialists understand both Tekton resources and the Kubernetes operating model behind them. They keep pipelines modular, observable and safe to rerun, with clear ownership of secrets and artifacts. Look for practical experience with YAML validation, containerized build environments, access controls, Git workflows and troubleshooting failed runs across cluster and external service boundaries.
Frequently asked questions
Everything clients usually want to know about Tekton, in one place.
Tekton is used to define and run continuous integration and delivery workflows on Kubernetes. Companies use it for automated testing, container image creation, security scanning, artifact publication and controlled releases.
Tekton is Kubernetes-native and models pipeline steps as reusable resources, while Jenkins and GitHub Actions typically center their workflows on a server or source-control service. The right choice depends on the existing platform, portability needs, operational ownership and required integrations.
Tekton work usually requires solid Kubernetes knowledge, including Custom Resource Definitions, RBAC, secrets, storage and troubleshooting. Experience with containers, Git, Helm, registries, cloud services, observability and GitOps is also valuable.
Tekton projects need a specialist who can design maintainable workflows rather than only write YAML. A smaller pipeline migration may need focused delivery experience, while a shared platform requires deeper knowledge of Kubernetes operations, security, governance and multi-team support.
Tekton is well suited to remote collaboration because pipeline definitions, Kubernetes resources and test results can be reviewed in version control. Teams in Germany should agree early on working language, documentation standards, access procedures and time-zone overlap; on-site sessions can still help with platform and security decisions.
Tekton can be a strong fit when a company needs Kubernetes-native execution, control over pipeline resources or workflows that must run across environments. A hosted CI service may be simpler when the team prefers managed infrastructure and does not need that level of platform integration.
Tekton quality is visible in modular Tasks, clear parameter and workspace design, safe secret handling and useful failure diagnostics. Ask for examples of pipeline architecture, retry behavior, artifact flow, access control and how the specialist tested upgrades or recovered failed runs.
Tekton specialists may build task catalogs, connect Triggers to source events, migrate legacy jobs or integrate testing, scanning and deployment tools. They often improve documentation, observability, reuse and release governance so other teams can operate the pipelines confidently.
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 765 € 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 19 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 (17%).
The most common industries among freelancers in Germany who have used Tekton in their recent projects are Information Technology (100%), Automotive (75%), and Banking and Finance (58%).
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 (83%).
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
