Concourse CI Experts in Germany
matched in minutes by AIHire experts who design pipeline-as-code workflows, integrate Docker and Kubernetes, and automate testing and releases with Concourse CI. FRATCH quickly matches you with vetted, available freelancers whose skills fit your delivery environment.
Meet FRATCH Experts in Germany, who have recently used Concourse CI
Nasif M.
Last position:
Solution Architect at SAP
Red Hat OpenShift Container Platform
Scope:
- Operation and configuration of the Red Hat OpenShift Container Platform, including network, storage, and security design.
- Implementation of centralized observability solutions (Prometheus, Grafana, alerting).
- Development of CI/CD pipelines, GitOps workflows, and automation frameworks.
- Training and enablement of operations and development teams.
Result: Accelerated service delivery, transparent operational metrics, and sustainable knowledge transfer.
Thorsten B.
Last position:
Senior Backend Engineer at VTG Rail Europe
traigo is VTG's digital rail logistics and fleet management platform. It processes large volumes of telemetry, mileage, geofence, sensor and wagon-movement events in near real time and provides operational services for rail logistics customers across Europe.
As part of Team Customer Selfcare, I worked on the design, implementation, optimisation and operation of large-scale backend services and event-driven processing pipelines — covering both feature development and operational ownership of business-critical production systems. I also regularly acted as first responder for production incidents, data inconsistencies and performance investigations across multiple distributed services.
- Design and implementation of event-driven backend services.
- Migration and replacement of legacy processing pipelines.
- Development of replay / rebuild mechanisms for large event datasets.
- High-throughput asynchronous event processing on SNS / SQS.
- Database and query optimisation for PostgreSQL and DynamoDB.
- Design of scalable read / write models and aggregation pipelines.
- Production troubleshooting and operational support.
- Performance tuning and infrastructure scaling.
- Design and stabilisation of integration and system tests.
- Technical concepts, architecture documentation, and cross-team collaboration.
- Support the further development of existing GitLab CI/CD pipelines
Geofence & Wagon Stay Processing
- Algorithm to detect vehicles within geofences (entry, exit, dwell time).
- Event sourcing with guaranteed chronological order within the affected time window.
- Refactored geofence event and wagon-stay processing logic for performance.
- Resolved race conditions and event-ordering problems in distributed services; server-side filtering, aggregation and optimised query pipelines.
- Repair and replay tooling for corrupted or inconsistent movement data.
Fleet Metadata & Mileage
- Modernised the service; migrated storage from DynamoDB to PostgreSQL to improve traceability and accelerate new features.
- Scalable mileage aggregation and replay mechanisms.
- Read / write models and optimised queries for high-volume mileage calculations.
Sensor & Telematics Integration
- Integrated telemetry and sensor processing pipelines.
- Snapshot and state-calculation logic for sensor systems.
- APIs and persistence models for wagon sensor data; data-quality improvements.
- Further development of a service using gRPC for intra-service communication.
Movement Segment Processing & Routing
- Migrated services to new movement-segment event streams.
- Built replay and rebuild tooling for segment correction.
- Optimised throughput and reliability for high-volume event processing.
Condition Monitoring & Wagon Analytics
- APIs and backend services for wagon condition monitoring.
- Brake-wear prediction processing and wagon analytics functionality.
- PostgreSQL views and optimised query models for operational dashboards.
Operational Reliability - First Responder
- Investigated production incidents and distributed-system failures; DLQ analysis, replay and operational recovery.
- Tuned database performance and AWS infrastructure under production load.
- Improved observability, monitoring and operational tooling.
- Supported rollout strategies, monitoring and post-deployment stabilisation.
Ronny W.
Last position:
Software Architect at Brose.com
- Development of an application for process optimisation in productive operation in an air-gapped environment
- Connecting four different systems with interfaces: REST, SMEMA, MQTT, COM
- Technologies: Linux, On-Prem, Docker, Python, Bash Scripting
Jonas T.
Last position:
IT Consultant at Bechtle AG
- Prequalified 200 demands within five weeks on the multi-cloud-commerce platform bechtle-clouds.com with three external consultants
- Served a dual role as project manager and requirements engineer for various enhancements
- Domain topics: reimplementation of Entra ID Sync, improvement of support processes, optimizations in the product catalog
- Demand and project management in ServiceNow
- Refinement of epics and stories with internal teams and external service providers
- Management of the external international service provider
Taher S.
Last position:
DevOps Engineer at Confidential
- Working with developers, security, and operations teams to align requirements
- Supporting product owners and development teams in using logging and monitoring solutions based on the Elastic Stack
- Developing and standardizing log schemas as well as defining practical standards for observability
- Designing and further developing logging architectures for complex, distributed multi-tenant environments
- Connecting application and infrastructure logs as well as security tools and metrics
- Optimizing data flows and modeling for analysis and reporting purposes
- Building automated infrastructures using Terraform/Terragrunt and Ansible
- Maintaining and further developing CI/CD pipelines in GitLab as well as automated development environments in Hetzner Robot
- Operating and automating Proxmox clusters including Ceph storage
- Setting up and operating Kubernetes (k3s) clusters on Fedora CoreOS including base services such as Vault, OpenLDAP, and HA Proxy
- Implementing security-critical infrastructures according to BSI baseline protection and securing existing systems
- Supporting the operation of solutions in cloud environments (including AWS)
- Working in agile teams using Scrum and Kanban
- Technologies/ applications: Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana), Terraform, Terragrunt, Ansible, GitLab CI/CD, GitOps, Proxmox, Proxmox Ceph, Kubernetes (k3s), OpenShift, Helm, Kustomize, Vault, OpenLDAP, HA Proxy, Hetzner Robot systems, AWS, Prometheus, Grafana, Syslog Linux/Windows, Docker, NGINX, Apache Security & Compliance (BSI baseline protection, SIEM/SOC)
Marcel S.
Last position:
Lead Developer / Software Architect at Rezeptprüfstelle Duderstadt GmbH
Responsible for the new development of billing and auditing software for prescriptions (prescriptions) to fully check and evaluate e-prescriptions for correctness (content, billing)
The system consists of several contexts that run as services (Docker containers):
Checking and processing data deliveries via FTP and email
Managing invoices, clearings, advance payments and deductions
Managing and running audit rules and audit folders
Evaluations based on Metabase
Developer Stack: Kotlin, Vue 3 / Vuetify 3, ANTLR, Spring Boot 3, REST API, Gradle, Docker, GitLab, PostgreSQL, Kafka, Keycloak, Scrum, Grafana, Loki, Testcontainers, Prometheus
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Alexis P.
Last position:
Freelance Team Lead Backend Applications E-Commerce at The Quality Group GmbH
- Building and maintaining an event-driven microservice architecture around Shopify
- Documenting with Confluence and IcePanel (C4)
- Using PHP 8.2, Symfony, Shopify, Bref, AWS, SQS, EventBridge, Cloud, DevOps, Datadog, Docker, Kubernetes, Jira, GitHub, Scrum, Kanban, PHPUnit, Prophecy and Swagger
Henning S.
Last position:
Infrastructure & Deployment Optimization in E-Commerce at WTFitworks
- Assessment and analysis of existing CI/CD pipelines and IT infrastructure
- Developing optimization proposals to improve continuous delivery, automated tests, and deployments
- Enhancing provisioning of server, logging, monitoring, and database infrastructures
- Advising on the introduction and implementation of Kubernetes and Docker technologies
Discover over 15,000 top freelancers
Statistics of experts using Concourse CI
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.7 years
Positions per freelancer
13
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Automotive, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
83%
Master's degree or higher
33%
Certifications per freelancer
5
Most common languages
German, English, Russian
Speak two or more languages
78%
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 Concourse CI
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.
Concourse CI 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 (67%)
- Retail (56%)
- Healthcare (44%)
- Transportation (44%)
- Banking and Finance (33%)
- Insurance (33%)
- Manufacturing (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Pipeline automation
Concourse CI is an open-source automation system for building, testing and releasing software through declarative pipelines. Teams define jobs, resources and tasks in YAML, then let workers execute repeatable steps in isolated containers. Its visual pipeline model makes dependencies and delivery flow easy to inspect.
Core building blocks
A Concourse pipeline connects resources such as Git repositories, container images, object storage and deployment endpoints. Jobs consume and produce resource versions, while tasks run commands inside containers. Strong specialists understand pipeline configuration, resource checks, inputs and outputs, worker pools, secrets and task isolation.
Delivery use cases
Concourse CI fits teams that need visible, repeatable automation across application and infrastructure delivery.
- Build and test changes from Git repositories
- Publish container images and release artifacts
- Promote releases across staging and production
- Run infrastructure validation and deployment tasks
- Coordinate workflows across services and environments
Ecosystem and integration
Concourse CI commonly works with Git, Docker, Kubernetes, Helm, cloud storage and container registries. Professionals may also connect it with Terraform, Vault, Slack, databases and internal APIs through resources, scripts or custom resource types. They should be comfortable with Linux, containers, YAML, networking and secret management. In Germany, teams often need clear documentation for collaboration across distributed and on-site delivery groups.
When to bring in specialists
Companies bring in freelance Concourse CI specialists when pipelines have become difficult to maintain, releases lack traceability or workers are unreliable. External expertise can help migrate from Jenkins, GitLab CI or other automation tools, establish reusable pipeline patterns and improve failure diagnosis.
- Pipeline changes are slow or risky
- Secrets and deployment permissions need review
- Kubernetes or cloud releases need consistent automation
- Teams need a maintainable pipeline migration
Signs of quality
Strong Concourse CI professionals explain why a pipeline is structured a certain way, not only how to make it run. They use small, reusable tasks, pin important dependencies, manage credentials safely and make failures easy to investigate. Ask for examples of pipeline migrations, worker operations, rollback handling and resource design. A good specialist also adapts communication to remote or on-site teams and leaves practical documentation behind.
Frequently asked questions
Key details about Concourse CI, drawn from the questions we get asked most.
Concourse CI is used to automate build, test, packaging and deployment workflows. Its pipelines represent dependencies between jobs and resources, making delivery stages visible and repeatable across environments.
Concourse CI emphasizes pipeline-as-code, containerized tasks and explicit resource flow. Jenkins offers a broad plugin ecosystem, while GitLab CI is closely integrated with GitLab; the right choice depends on existing tools, governance needs and how much control the team wants over pipeline structure.
A strong Concourse CI specialist usually understands Git, Linux, Docker, Kubernetes, YAML and cloud environments. Knowledge of Terraform, Helm, Vault, container registries and observability is also useful when pipelines manage infrastructure or production releases.
The required depth depends on the project scope. A simple pipeline may need solid task and resource knowledge, while a platform migration or multi-environment setup calls for experience with workers, security, scaling, failure recovery and operational support.
Concourse CI work is often well suited to remote collaboration because pipelines, tasks and configuration can be reviewed in version control. Clear written English is commonly sufficient, while German can help when the specialist works closely with local stakeholders or on-site operations teams.
Bring in a Concourse CI freelancer when pipeline failures consume delivery time, a migration is blocked or teams need a reliable release pattern quickly. A specialist can assess the current setup, introduce reusable conventions and transfer operational knowledge to the internal team.
Ask how the professional handles secrets, task isolation, worker failures, resource versioning and rollback scenarios. A capable Concourse CI specialist can show clear pipeline design, explain trade-offs and provide documentation that another team member can maintain.
Concourse is the commonly used short name for Concourse CI, the open-source automation system. The terms generally refer to the same technology, although Concourse is the name most often used in documentation and technical conversations.
The average hourly rate of freelancers in Germany who have used Concourse CI in their recent projects is 107 €, which corresponds to a daily rate of about 853 € based on an 8-hour working day.
Of the freelancers in Germany who have used Concourse CI in their recent projects, 83% hold at least a Bachelor's degree and 33% hold at least a Master's degree.
On average, freelancers in Germany who have used Concourse CI in their recent projects have 18 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 Concourse CI in their recent projects are German (100%), English (78%), and Russian (11%).
The most common industries among freelancers in Germany who have used Concourse CI in their recent projects are Information Technology (100%), Automotive (67%), and Retail (56%).
The most common business areas among freelancers in Germany who have used Concourse CI in their recent projects are Information Technology (100%), Operations (67%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used Concourse CI
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
