Tekton Experts in Germany
matched in minutes from over 15,000 CVs with the power of AI.Hire experts who design Tekton Pipelines, set up Tekton Triggers, and build Kubernetes-native delivery flows for safer releases and repeatable automation, with fast, precise matching from vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Tekton
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operational processes
- Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Professional consulting for the project's security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
- Analysis and resolution of incidents and system outages
- Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
- Professional 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 Knan
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 Kalinin
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
Mykhaylo Khazanovych
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
- Conducting code reviews
- Participation in communities of practice for developers and architects
- Implementation of frontend-backend communication with WebSockets
Ingo Dettling
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 Keil
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 Hofbauer
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
Nils Klawitter
Last position:
Vulnerability Management and Secure SDLC at DB InfraGO AG
- Successfully implemented vulnerability management with DefectDojo
- Advised on and implemented technical and procedural aspects of vulnerability management with DefectDojo
- Provided guidance on implementing a secure software development lifecycle
- Skills: GitLab, DefectDojo, Vulnerability Management, SCA, SAST, DAST, Python, Kubernetes, Argo CD, Docker, AWS, Azure, WhiteSource/Mend, Greenbone
Thomas Jarnot
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.
Janusz Mazurek
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 Bekaan
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
1.5 years
Positions per freelancer
16
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
88%
Master's degree or higher
50%
Doctorate
13%
Certifications per freelancer
1
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What Tekton does
Tekton is a Kubernetes-native framework for building CI/CD pipelines. Teams use it to define reusable tasks, chain delivery steps, and run automated builds, tests, and deployments close to the cluster that hosts the workload.
Where it fits
- Container build and release pipelines
- Multi-step delivery workflows for cloud-native services
- Event-driven automation with Tekton Triggers
- Reusable task libraries for shared delivery standards
It fits teams that already run on Kubernetes and want pipeline logic to live in the same ecosystem as their apps.
Ecosystem and tooling
Strong Tekton work usually includes Tekton Pipelines, Tekton Triggers, and supporting tools around Kubernetes, YAML, Git, and container registries. Many specialists also connect it with policy checks, secrets handling, artifact storage, and observability so pipeline runs are traceable and easy to maintain.
When freelancers help
Companies often bring in Tekton specialists when a pipeline needs a clean start, a migration from another CI system, or a rescue from brittle scripts and duplicated steps. In Germany, this is common in product teams and platform teams that want consistent delivery across cloud and internal systems.
What strong specialists do
- Model pipelines as reusable tasks and clear steps
- Design triggers that react to Git and event changes
- Secure secrets, service accounts, and permissions
- Keep runs observable, debuggable, and repeatable
A strong professional understands how Tekton behaves in real Kubernetes clusters, not just how to write YAML.
Signs you need Tekton expertise
If pipeline changes break releases, handoffs are manual, or builds behave differently across environments, Tekton expertise can help. Specialists are also useful when teams need to standardize delivery for many services or document a pipeline setup that others can maintain.
Frequently asked questions
Everything clients usually want to know about Tekton, in one place.
Tekton is used to build Kubernetes-native CI/CD pipelines. Companies use it for automated builds, tests, image publishing, and deployment flows that run close to their cluster environment. It is especially useful when delivery logic needs to be reusable and event driven.
Tekton is built around Kubernetes objects, so it feels different from classic CI servers and hosted workflow tools. Compared with Jenkins, it is more cloud-native and easier to align with cluster-based delivery patterns. Compared with GitHub Actions, it usually suits teams that want pipeline control inside Kubernetes rather than around the source control system.
The most common terms are Tekton Pipelines and Tekton Triggers. Many searchers also describe it as Kubernetes-native CI/CD when they are looking for the same skill set. If you need experts, it helps to search with both the product name and the pipeline-focused wording.
A strong Tekton specialist usually knows Kubernetes, YAML, Git-based workflows, container images, and registry handling. It also helps if they understand secrets, service accounts, observability, and basic delivery policy checks. Those skills make pipeline design safer and easier to maintain.
A small proof of concept may only need someone who can define a few tasks and connect them to a repo event. A production rollout needs a specialist who can structure reusable templates, secure the cluster access, and keep the pipeline easy to operate. The more services and teams involved, the more important deep Tekton experience becomes.
Yes, Tekton work is often done remotely because most of the delivery setup lives in code and cluster configuration. For teams in Germany, remote collaboration works well when access, review flow, and language expectations are clear. On-site time is usually only needed for workshops or complex migration sessions.
A good Tekton expert writes clear, reusable pipeline definitions and avoids fragile one-off steps. Look for clean task separation, sensible trigger design, solid secret handling, and easy troubleshooting. Good specialists also explain tradeoffs and leave the setup understandable for the next person.
Tekton can work in both, but it fits best when Kubernetes is already part of the platform direction. New teams use it to build delivery standards early, while mature teams use it to replace scattered scripts and older CI logic. The key is whether the team wants pipeline control inside the cluster.
The average hourly rate of freelancers in Germany who have used Tekton in their recent projects is 99 €, which corresponds to a daily rate of about 791 € based on an 8-hour working day.
Of the freelancers in Germany who have used Tekton in their recent projects, 88% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 13% 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 1.5 years.
The most common languages among freelancers in Germany who have used Tekton in their recent projects are German (100%), English (100%), and French (18%).
The most common industries among freelancers in Germany who have used Tekton in their recent projects are Information Technology (100%), Automotive (73%), and Banking and Finance (64%).
The most common business areas among freelancers in Germany who have used Tekton in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (73%).
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
