GitHub Actions Experts in Dortmund
matched in minutes by AIHire experts who automate build, test and release workflows, connect GitHub repositories with cloud services, and secure CI/CD pipelines. FRATCH matches you quickly with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Dortmund, who have recently used GitHub Actions
Ashwin P.
Last position:
Freelance Data Scientist at Mercor Intelligence
- Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
- Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
- Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Arkadius S.
Last position:
AWS Pricing Platform / API & Integration Architecture at Porsche Digital
Development and evolutionary further development of a highly available, cloud-native microservice and integration architecture for dealer and retail processes in the Porsche Car Configurator.
Responsibilities
- Development of Java-/Kotlin-based backend, API, and integration components (Spring Boot)
- Integration of internal and external systems via REST/OpenAPI, GraphQL, Apache Kafka, and AWS SQS (synchronous and asynchronous)
- Implementation of stable, high-performance communication and data flows in a cloud-native platform architecture
- Processing of structured data formats (JSON, Protobuf, GraphQL schemas) based on existing API patterns
- Performance optimization of distributed microservices with reduced response times and higher operational stability
- Technical tests (unit, integration, and API tests) as well as error analysis in production-like environments
- AWS Infrastructure as Code with Terraform and AWS CDK
- CI/CD automation (build, test, and deployment pipelines) with GitHub Actions
- AI-supported feature implementation (GitHub Copilot Agent)
Label: Kotlin, Java 25, Spring Boot 4, Protobuf, TypeScript, AWS, Terraform, CDK, Apache Kafka, AWS SQS, REST/OpenAPI, GraphQL, JSON, PostgreSQL, Docker, GitHub Actions, Maven, Gradle, JUnit, Mockito, Testcontainers
Patrik G.
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Hendrik B.
Last position:
Lecturer at Front and Fullstack Development Lecturer
- Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
- Designing and preparing lessons
- Classroom teaching and one-on-one coaching
Mohammed A.
Last position:
Data Scientist & Energy Consultant at Accenture GmbH
Discover over 15,000 top freelancers
Statistics of experts using GitHub Actions
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 15 years)
Position duration
2.2 years (Germany: 1.9 years)
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Healthcare
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
60% (Germany: 55%)
Doctorate
20% (Germany: 7%)
Certifications per freelancer
1 (Germany: 3)
Most common languages
German, English, Arabic
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Dortmund 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 Dortmund using GitHub Actions
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
GitHub Actions 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 (86%)
- Education (71%)
- Healthcare (71%)
- Manufacturing (57%)
- Professional Services (57%)
- Automotive (43%)
- Retail (43%)
- Energy (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GitHub Actions does
GitHub Actions is GitHub’s automation and continuous integration platform. It runs workflows when code changes, pull requests are opened, releases are created or scheduled jobs start. Companies use it to build, test, package and deploy software directly from repositories.
Workflow foundations
Workflows are defined in YAML files stored in a repository. Jobs run on hosted or self-hosted runners, while steps execute shell commands or reusable actions. Strong specialists design clear triggers, dependencies, matrices, permissions and environment controls that keep automation reliable and easy to maintain.
Ecosystem and tooling
GitHub Actions connects with the wider GitHub and cloud ecosystem through official and community actions. Relevant expertise often includes:
- Docker image builds and registry publishing
- Kubernetes and cloud deployment workflows
- Terraform, infrastructure validation and environment promotion
- npm, Maven, Gradle, Python and other package ecosystems
- GitHub Packages, releases, secrets and protected environments
Where companies use it
Teams bring GitHub Actions into web applications, APIs, mobile backends, data services and infrastructure repositories. It supports pull-request checks, security scanning, artifact creation, release automation and controlled production deployment. In Dortmund, it can support local product teams and industrial businesses while collaborating with remote specialists across time zones.
When freelance expertise helps
Companies often seek specialists during a migration from Jenkins, GitLab CI or another automation system. They also need help when workflows have become slow, duplicated or difficult to audit. A freelancer can establish reusable workflow patterns, improve runner management, reduce failed releases and document the delivery process for internal teams.
What strong specialists deliver
The best professionals understand both YAML syntax and the systems behind each workflow. They apply least-privilege permissions, manage secrets safely, pin or review action versions and separate validation from deployment. They also measure workflow reliability through logs and failure analysis, communicate clearly with German or international teams, and leave maintainable automation rather than a collection of opaque scripts.
Frequently asked questions
Not sure where to start with GitHub Actions? These answers cover the essentials.
GitHub Actions is used to automate software workflows inside GitHub repositories. Companies use it for continuous integration, automated tests, code quality checks, security scans, package creation, release management and deployments to cloud or on-premises environments.
GitHub Actions is closely integrated with GitHub pull requests, permissions, releases and repository events. Jenkins offers a broad plugin ecosystem and extensive self-hosting control, while GitLab CI is tightly connected to GitLab. The right choice depends on repository location, compliance needs, runner strategy and existing operations.
A strong GitHub Actions specialist usually understands Git, YAML, shell scripting, Docker and artifact management. Useful adjacent skills include Kubernetes, Terraform, cloud identity and permissions, observability, software testing and supply-chain security.
A small workflow may only require focused knowledge of triggers, jobs, runners and secrets. A larger migration or production delivery system needs a professional who can design reusable workflows, handle permissions, manage environments and diagnose failures across application and infrastructure layers.
GitHub Actions is well suited to remote collaboration because workflows, logs, pull-request checks and configuration live alongside the code. A freelancer working with a Dortmund-based team should agree on repository conventions, documentation, meeting windows and whether German, English or both are needed.
Bring in a GitHub Actions freelancer when delivery automation is blocking releases, a Jenkins or GitLab CI migration needs careful planning, or security requirements exceed the team’s current capacity. External expertise is also useful for creating reusable standards across many repositories.
Review whether the GitHub Actions workflows are readable, reproducible and safe to change. Look for explicit permissions, protected environments, secure secret handling, reliable caching, useful logs, tested failure paths and documentation that enables the internal team to operate the setup.
A GitHub Actions assignment may involve hosted runners, self-hosted runners, reusable workflows, composite actions or custom actions. Freelancers should clarify repository structure, deployment targets, access boundaries, compliance rules, expected handover and the team’s preferred balance between ready-made actions and custom automation.
The average hourly rate of freelancers in Dortmund, Germany who have used GitHub Actions in their recent projects is 81 €, which corresponds to a daily rate of about 649 € based on an 8-hour working day.
Of the freelancers in Dortmund, Germany who have used GitHub Actions in their recent projects, 100% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Dortmund, Germany who have used GitHub Actions in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Dortmund, Germany who have used GitHub Actions in their recent projects are German (100%), English (100%), and Arabic (14%).
The most common industries among freelancers in Dortmund, Germany who have used GitHub Actions in their recent projects are Information Technology (86%), Education (71%), and Healthcare (71%).
The most common business areas among freelancers in Dortmund, Germany who have used GitHub Actions in their recent projects are Information Technology (86%), Product Development (86%), and Business Intelligence (71%).
Main locations of FRATCH Experts, who have recently used GitHub Actions
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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