GitLab CI/CD Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used GitLab CI/CD
Ali Aminian
Last position:
Platform Engineer & Software Architect at Yatta GmbH
- Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
- Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
- Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
- Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
- Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
- Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
- Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
- Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
- Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
- Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
- Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
- Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.
Noel Lang
Last position:
Founder & Lead Engineer at ausbildung-in-der-it.de
- Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
- Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
- Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
- Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.
Tan Pham
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.
Jan Mundo
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Florian Fladung
Last position:
Senior Backend Developer at ING Deutschland AG
- Database design with Oracle DB, JPA and Flyway considering high performance requirements
- Analysis of multiple architecture drafts and identification of technical risks
- Design and implementation of various interfaces and integrations, especially REST APIs and Kafka topics
- Setup of Elasticsearch for monitoring and analyzing log data
- Establishment of an iterative work approach in the project team facing complex business requirements
Umer Dilpazir
Last position:
Activation and Vocational Integration Program with Integrated Language Support at Berlitz
- Intensive language course with a focus on professional language content.
Valentin Oprea
Last position:
Network Architect at IT Service Provider - Public Sector
- Designed a network management strategy focused on NetDevOps principles and model-driven telemetry using YANG data models
- Conducted NETCONF/YANG workshops for L2VPN/L3VPN services over SRv6
- Automated configuration deployment in the testing environment with Ansible
- Developed end-to-end service measurement concepts with IPSLA and the Telegraf-Prometheus-Grafana stack
- Created the dual-stack architecture design (router + switch + firewall) including a detailed test plan; planned, executed, and documented acceptance tests for the management network
- Performed BSI IT baseline protection checks according to the IT-Grundschutz catalog (needs assessment, modeling, risk analysis, deriving measures)
- Protocols: SRv6, IPv6, MPLS, BGP, ISIS, OSPF, NETCONF/YANG, model-driven telemetry, IPSLA
- Systems: Cisco Crosswork Network Controller, SolarWinds Orion, Grafana, InfluxDB, Telegraf, Ansible, Git
- Components: Cisco NCS router series, Cisco Catalyst switch series, Cisco Firepower firewall series
Jochen Hinrichsen
Last position:
DevSecOps Expert at DB InfraGO
- Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
- Build pipelines for Go, Java and JavaScript
- Provisioning of 100+ components
- Quality assurance via GitLab Code Quality and SonarQube
- Checks for dependencies, licensing and vulnerabilities
- Release creation via Jira and ServiceNow
- SBOM, Supply Chain Security, distroless images
- PoC GitLab Runner: Nomad vs. Kubernetes
- Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman
Puya Dogouri
Last position:
Quality Assurance Consultant at Federal Employment Agency
- Consulting and implementation of functional test requirements
- Responsibility for and validation of test automation solutions in an agile team
- Support for QA topics during weekly release tests
- Creating test cases using Gherkin
- Developing automated tests with Cucumber and Playwright
- Specifying and maintaining automated and manual tests
Technologies used:
- Confluence
- Jira
- Cucumber
- Playwright
- Typescript
- Java
- Git
Anusha Labhi Shetti
Last position:
Test Automation Consultant at EON Energy
- Design, develop, and maintain automated tests using Playwright with Python scripts, Typescript and Spring Boot
- Create test classes annotated with Spring Boot Test
- Create test scripts to cover functional, regression, and integration testing
- Ensure test automation coverage for web applications
- Collaborate with developers to identify testable requirements
- Troubleshoot automation test failures and resolve issues
- Integrate automated tests with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD)
- Monitor and report test automation metrics
- Implement test data management and mocking strategies
- Ensure test reliability, stability, and maintainability
- Experience with containerization (Docker) and orchestration (Kubernetes)
Karsten Gerigk
Last position:
Software Development at Siemens Mobility GmbH
- Maintenance and further development of several existing projects in the "AI-powered transportation" sector, based on React, REST-like APIs (Spring, Python) and various design libraries
- Responsible in the project for build processes, JavaScript development, architecture, coordination and communication with the design team
- Agile software development (Scrum, Kanban)
- Technologies: React, TypeScript, Ant Design, Node.js, Yarn, Vite, i18n, Postgres, Keycloak, Jest, Cypress, Storybook
- Tools: IntelliJ, Git, GitLab CI, Docker, Confluence, Jira
Axel Bock
Last position:
Project lead for introducing Okta as an IAM system at Fritz Schäger GmbH & Co KG
- Project management
- Building an internal IAM team
- Okta
- Project management
- IAM processes
Adil Sultan
Last position:
Mobile/Backend Developer at Freelance
- Built a cross-platform mobile application using React Native that interacts with IoT devices via RESTful APIs
- Implemented state management with Redux and integrated IoT-specific components for smooth data visualization and device control
- Developed RESTful APIs using Node.js and Express, utilizing MongoDB for scalable data storage
- Facilitated secure communication between the mobile app and IoT devices, enabling device onboarding, status monitoring, and control commands
- Implemented real-time data synchronization and optimized data flow to minimize latency
Delly Fofie
Last position:
Dad of 2 daughters at Family
Felix Tschöpe
Last position:
Quality and Process Manager Trading – Systems Focus at Mainova AG
- Ensuring stable operation of business-critical applications in the energy environment (KRITIS-adjacent systems), coordinating with IT operations on certificates, permissions, and security-relevant logging
- Continuous monitoring of interfaces, processes, and system states including analysis of deviations and performance issues
- Development and setup of secure interfaces including authentication and access concepts
- Incident management: prioritization, root cause analysis, coordination of issue resolution with IT operations, business units, and external service providers
- Change and release management including coordination, test coordination, go-live, and post-live support
- Product owner for operational systems in day-to-day operations (forecasts, schedule management, market data import and export, contract management, regulatory reporting)
- Documentation of operational processes, changes, and incidents to ensure traceability and auditability
- Automation and digitization of operational processes
- Introduction and use of AI-supported analysis and monitoring approaches and agents with Microsoft 365 Copilot
Discover over 15,000 top freelancers
Statistics of experts using GitLab CI/CD
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 17 years)
Position duration
2.3 years (Germany: 2.7 years)
Positions per freelancer
11 (Germany: 12)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 90%)
Master's degree or higher
44% (Germany: 55%)
Doctorate
6%
Certifications per freelancer
3
Most common languages
German, English, Persian
Speak two or more languages
100% (Germany: 98%)
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 Frankfurt 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 Frankfurt using GitLab CI/CD
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
Pipeline basics GitLab CI/CD turns source changes into automated build, test, and deploy steps inside GitLab. It is used to keep delivery repeatable, visible, and tied to the same repository where teams work. Strong specialists shape pipelines that fit the product, not the other way around.
What teams build
- Build and test workflows for merge requests
- Release pipelines for web apps, APIs, and services
- Deployment flows to Kubernetes, cloud hosts, or internal servers
- Review app setups and environment-specific jobs
- Secure delivery steps for secrets, scans, and approvals
Ecosystem skills A solid GitLab CI/CD specialist understands GitLab CI, GitLab Runner, pipeline stages, artifacts, variables, and YAML structure. Many also work with Docker, shell scripts, Terraform, Kubernetes, and cloud services. The best experts keep pipelines simple enough to maintain.
When freelancers help Companies bring in freelance help when pipelines break, releases slow down, or teams need a clean setup fast. This is common after a GitLab migration, a cloud move, or a shift from manual deployment to automated delivery. In Frankfurt, this often matters for teams that need close collaboration with German-speaking stakeholders and remote-ready delivery.
What strong experts do Strong GitLab CI/CD professionals read the full delivery flow, then remove friction step by step. They reduce duplication, improve cache and artifact handling, and make jobs easier to debug. They also document the setup so internal teams can keep it running.
Signs you need one
- Pipelines are slow, flaky, or hard to understand
- Deployments depend on manual steps
- Runners are missing, overloaded, or poorly secured
- YAML files have grown messy across teams
- You need a reliable setup for Frankfurt-based or distributed teams
Frequently asked questions
What clients ask us most about GitLab CI/CD — answered in short.
GitLab CI/CD is used to automate build, test, security, and deployment steps for code stored in GitLab. It helps teams move from manual releases to repeatable delivery pipelines. In practice, it supports everything from simple test jobs to full release flows.
GitLab CI/CD is the full delivery feature set in GitLab, while GitLab CI is the older shorthand many people still use. Searchers also say GitLab Runner when they mean the execution part of the setup. A good specialist should understand all three terms and how they fit together.
GitLab CI/CD is tightly built into GitLab, so source control, merge requests, and pipelines stay in one place. Jenkins is often more flexible but usually needs more setup and upkeep. GitHub Actions fits well if your code already lives in GitHub, but GitLab CI/CD is a strong choice when the team wants one delivery flow inside GitLab.
A strong GitLab CI/CD specialist usually knows YAML, Docker, shell scripting, and basic Linux command-line work. For broader delivery work, Kubernetes, cloud services, and infrastructure as code are common extras. Security scanning and secret handling also matter in many setups.
GitLab CI/CD help makes sense as soon as pipelines become hard to maintain or release quality starts to slip. You do not need a full platform rebuild to benefit from outside support. Many companies bring in a specialist to clean up one pipeline, standardize templates, or guide a rollout across teams.
Yes, GitLab CI/CD fits remote and hybrid teams well because the pipeline lives with the code and is easy to review in GitLab. In Frankfurt, that is useful for companies that work with local stakeholders but also need remote collaboration across product, security, and operations. Clear documentation and good pipeline naming help a lot.
A strong GitLab CI/CD expert writes pipelines that are easy to read, easy to debug, and safe to change. Look for clear use of stages, reusable jobs, sensible variables, and clean handling of runners, artifacts, and environments. Good experts also explain trade-offs instead of just patching the YAML.
Before bringing in GitLab CI/CD support, collect the current pipeline files, a short release flow description, and any known pain points. It also helps to show runner setup, deployment targets, and access constraints up front. That gives the specialist enough context to improve the setup quickly.
The average hourly rate of freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects is 96 €, which corresponds to a daily rate of about 764 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects, 100% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects are German (100%), English (94%), and Persian (11%).
The most common industries among freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects are Information Technology (89%), Banking and Finance (61%), and Transportation (39%).
The most common business areas among freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects are Information Technology (100%), Product Development (83%), and Quality Assurance (78%).
Main locations of FRATCH Experts, who have recently used GitLab CI/CD
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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