Ruby Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Ruby
Tobias Mönch
Last position:
Power BI Expert at MID-SIZED RETAIL COMPANY FOR CLEANING TECHNOLOGY AND HYGIENE PRODUCTS
Reporting and controlling with Power BI for a productive ERP system
- Analysis of ERP data and interfaces for use in Power BI dashboards
- Evaluation and migration of existing reports (e.g. Excel) to Power BI
- Development of an access rights concept for selective data access
- Documentation and training on how to use and adapt the Power BI dashboards
Label: Power BI, Excel, SelectLine ERP, Microsoft SQL, SQL Server Management Studio
Karen Manukyan
Last position:
Personal AI Engineering Project — Croky AI at Crocky AI
Product:
- Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
- Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
- Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
- Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
- Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.
Agent Orchestration & RAG Systems
- Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
- Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Sanju Raj Prasad
Last position:
Software Developer at Senior Connect GmbH
- Created complex backend systems (Fastapi Python, GCP cloud functions, APIs, integration tests) using Typescript.
- Worked with firebase and firestore databases, implementing transactional operations, scheduling jobs, and migrations.
- Implemented GCP dashboards for thorough monitoring and custom alerts in case of anomaly traffic.
- Implemented Sentry for better debugging, error tracking and overall monitoring of the Next.js frontend.
- Implemented story tests for UI related testing.
- Implemented Typesense in Python Fastapi backend, for improved text based searching along with typo handlings.
Andreas Klös
Last position:
Test / QA / QS at KARDEX Software GmbH KARDEX Remstar
Testing adjustments to customer requests for warehouse / logistics software
Windows 10 / 11 Atlassian Tool Chain Agile testing / Kanban
Laurin Hagemann
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Hoa Josef Nguyen
Last position:
AI Architect and Enabler at Inhouse / AI Business
Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI
- Continuous evaluation and prioritization of internal automation needs
- ~20 AI agents in active use: research, content pipelines, document processing
- 5 n8n workflows for automated data and process control
- Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
- Ongoing operation and further development
Khaled Teilab
Last position:
Consultant / DevOps Engineer at Dr. Ing. h.c. F. Porsche Aktiengesellschaft
- Porsche ID is a unified digital identity platform providing secure authentication and seamless access across Porsche’s online services, mobile apps, and connected vehicle features
- Designed and implemented new authentication and authorization functionalities for both users and systems
- Ensured high availability, security, and performance to deliver a flawless digital experience for Porsche customers
- Technologies: Auth0, Angular, Tailwind, AWS, Terraform, Github
- Methodologies: Scrum and SAFe
Julius Herrera Glomm
Last position:
Freelancer at Freelancer — Pharma Industry
- Led migration to GCP using Terraform, GKE, and GitOps, improving deployment consistency and scalability
- Implemented Datadog observability stack via Terraform and datadog-operator
- Established automated end-to-end tests and on-call processes, improving incident response and service reliability
- Migrated from NGINX Ingress Controller to Kubernetes Gateway API (NGINX Gateway Fabric)
- Migrated stateful services (PostgreSQL and Redis) to GCP, improving scalability and operational reliability
Diego Espinoza
Last position:
RPG Software Developer from RPG III to Free Format
- Development of software and system support for RPG development.
- Development, optimization and maintenance of programs in RPG (RPG II to ILE Free Format).
- Performing integration tasks, data management as well as applying and managing system updates.
- User support and training to ensure smooth system operation.
Viktor Shcherban
Last position:
AI Engineer (Freelance) at Empion
Enterprise AI content categorization and AI-powered web research.
- Built multi-LLM evaluation framework with annotated data
- Iterated LLM error rates based on annotated datasets
- Implemented AI-powered web research pipeline Stack: LLM, evals, OpenRouter, Python, Node.js, TypeScript, React
Thomas Ãœbermeier
Last position:
Head of Engineering - Midnight at IOG / Midnight
IOG (IOHK), is one of the world's pre-eminent blockchain infrastructure research and engineering companies.
- Converted a lingering R&D project into a cohesive, production-ready testnet; built and scaled the 35-member engineering team (Core, QA, SRE) to achieve this goal.
- Defined strategic direction and aligned technology development with business objectives as a key member of the leadership.
- Optimized software development processes and implemented agile methodologies, enhancing operational efficiency and code security.
- Delivered projects in a fast-paced startup environment through effective project management and resource allocation.
Marc Fritze
Last position:
Interim Talent Acquisition Manager at doctari
- Building a cross-functional product team to develop a super app
- Advising and mentoring to support the team and provide input (technical & soft skills)
Olaf Taesch
Last position:
BI Architect in a Kanban Team at Gulp / Randstad for HHLA
- Creation of automated tests.
- Extension of the functionality of the enterprise BI data warehouse.
- Design and development in SQL and PL/SQL.
- Data modeling as well as performance measurement and tuning.
- Creation of and contribution to user stories and concepts.
- Technical environment: Windows, Linux.
- Database: Oracle 19c incl. DWH, CDB, PDB.
- Tools: Confluence, CVS, Eclipse, Git, GitLab, Jira, N4, PL/SQL, SQL Developer, utPLSQL.
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
Discover over 15,000 top freelancers
Statistics of experts using Ruby
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
3.1 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
91%
Master's degree or higher
54%
Doctorate
5%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
99%
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 Ruby
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
Ruby in practice
Ruby is a dynamic programming language known for readable code and fast development. Teams use it for web applications, APIs, internal tools, automation scripts, and data-heavy business workflows. It is often paired with Ruby on Rails, but Ruby also works well outside the Rails stack.
What specialists build
- Customer portals and back-office systems
- REST APIs and service layers
- Task automation and integration scripts
- Background processing with job queues
- Test suites that protect older Ruby code
Ruby fits products that change often and need clear, compact code. Strong specialists can move from greenfield features to legacy maintenance without losing consistency.
Ecosystem and tooling
A good Ruby setup usually includes Bundler, RubyGems, RSpec, and tools for linting and static checks. Many teams also use Rails, Sinatra, Sidekiq, and PostgreSQL around the core language. The best professionals know how these parts fit together in production.
When to bring in help
Companies often need freelance Ruby expertise when a product needs faster delivery, a stable refactor, or help after a team change. That is common in SaaS, e-commerce, fintech, logistics, and internal business software. In Germany, remote work is common, but on-site collaboration can help during workshops, audits, or handovers.
What strong experts do
Strong Ruby professionals write code that is easy to read, test, and extend. They understand object orientation, metaprogramming, dependency management, performance trade-offs, and secure handling of input and data. They also review older code carefully before changing it.
Signs you need one
- Your Ruby app is slow to change or hard to test
- You need Rails features but lack day-to-day capacity
- A legacy codebase needs cleanup without a rewrite
- You want safer releases and clearer structure
- You need help with gems, upgrades, or production issues
The right specialist will explain choices clearly and leave code your team can maintain after the project ends.
Frequently asked questions
What clients ask us most about Ruby — answered in short.
Ruby is used for web applications, APIs, internal tools, automation, and service layers that need clear code and quick iteration. Many teams pair it with Ruby on Rails when they want a full web stack, but Ruby also works well for scripts and backend jobs.
Ruby is often chosen for its readable syntax and the speed at which specialists can move through feature work. Compared with Python, it feels more opinionated in some idioms; compared with JavaScript, it is less tied to the browser; compared with PHP, many teams prefer it for cleaner structure in complex app code.
A company usually brings in a Ruby freelancer when delivery has slowed, a Rails app needs cleanup, or the team needs help with upgrades and production issues. It is also useful when a project needs a specialist who can work on legacy code without forcing a rewrite.
A strong Ruby specialist usually knows Rails, PostgreSQL, background jobs, testing with RSpec, and common deployment flows. Depending on the stack, knowledge of Redis, API design, Docker, and CI pipelines can matter just as much as the language itself.
The right level depends on the codebase, not just the language name. A small script or a simple API may need a generalist with solid Ruby basics, while a large Rails system with many integrations needs a specialist who has handled refactors, testing, and production support before.
Yes, Ruby projects often work well with remote collaboration in Germany because the code and review process are easy to share. On-site time can still help for discovery workshops, legacy system handovers, or tight cross-team planning, especially when the product is business critical.
Look for clear code, strong tests, and practical decisions about structure and dependencies. A good Ruby professional should explain trade-offs, show how they approach legacy code, and be able to improve maintainability without making the system more complex.
Ruby is still a strong choice when the team values maintainability, fast iteration, and a mature ecosystem. It is especially effective for web products and internal systems where clear business logic matters more than chasing the newest stack.
The average hourly rate of freelancers in Germany who have used Ruby in their recent projects is 95 €, which corresponds to a daily rate of about 759 € based on an 8-hour working day.
Of the freelancers in Germany who have used Ruby in their recent projects, 91% hold at least a Bachelor's degree, 54% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Germany who have used Ruby in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers in Germany who have used Ruby in their recent projects are English (99%), German (94%), and Spanish (17%).
The most common industries among freelancers in Germany who have used Ruby in their recent projects are Information Technology (98%), Banking and Finance (45%), and Retail (41%).
The most common business areas among freelancers in Germany who have used Ruby in their recent projects are Information Technology (97%), Product Development (90%), and Project Management (48%).
Main locations of FRATCH Experts, who have recently used Ruby
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 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
