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Ruby Experts

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Hire experts who build Rails apps, service layers, background jobs, and API integrations with Ruby and the Ruby on Rails stack. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts who have recently used Ruby

Verified expert

Karen Manukyan

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Senior .NET Backend Engineer | Applied AI | Agentic Systems, RAG & Distributed Architecture

Munich
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.
Verified expert

Niko Schmuck

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Developing Architect / Solution Architect

Hamburg
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.
Verified expert

Julius Herrera Glomm

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Freelancer

Berlin
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
Verified expert

Yasin Yildiz

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DevOps Architect & Backend Developer

Dortmund
Yasin Yildiz

Last position:

Enterprise Architect at Bundesagentur für Arbeit

Task:

  • Design and build a proof of concept (PoC) for a future-proof virtualization platform, taking secure system architectures into account
  • Assess the current state of existing infrastructures and develop selection and evaluation criteria for the right OS virtualization platform
  • Carry out the requirements analysis and then create and prioritize tickets in the ticket system
  • Complete and continuously update a tool evaluation matrix based on PoC results
  • Support team knowledge building through clear documentation of the approach and results in Confluence
  • Enterprise analysis of existing hardware (creating different BoMs)

Technologies: Vmware, Vmware Aria Operations, Osism, Canonical OpenStack, FishOs, Linux, Terraform, Ansible, Confluence, Alma

Verified expert

Sanju Raj Prasad

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Software Developer | Data Science

Fulda
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.
Verified expert

Andreas Klös

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Senior IT Consultant

Langgöns
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

Verified expert

Laurin Hagemann

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Software Architect (Freelance)

Bochum
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.
Verified expert

Hoa Josef Nguyen

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AI Consultant & Manager

Hamburg
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
Verified expert

Khaled Teilab

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Consultant / DevOps Engineer

Frankfurt am Main
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
Verified expert

Diego Espinoza

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RPG Software Developer from RPG III to Free Format

Dortmund
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.
Verified expert

Thomas Übermeier

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Innovative Fintech & Blockchain Leader · Head Of Engineering

Berlin
Thomas Übermeier

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.
Verified expert

Serge Kalinin

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MLOps (machine learning operations)

Munich
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
Verified expert

Marc Fritze

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Interim Talent Acquisition Manager

Berlin
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)
Verified expert

Olaf Taesch

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BI Architect in a Kanban Team

Jessen (Elster)
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.

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 6 Sep 2026.

Daily rate distribution

0 20 40 60 80
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of freelancers in this technology 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 using Ruby

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 757 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 740 €

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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

About the technology

Ruby at a glance

Ruby is a general-purpose language known for readable code and fast development. Companies use it for web applications, internal tools, APIs, automation, and script-heavy backend work. It is often paired with Ruby on Rails, but Ruby also stands on its own for service code and command-line tasks.

Common use cases

  • Web products built with Ruby on Rails
  • API backends and integrations
  • Background jobs, schedulers, and mail flows
  • Automation scripts and data processing
  • Internal admin tools and rapid prototypes

Ecosystem and tooling

The Ruby ecosystem centers on gems, Bundler, Rake, and Rails. Strong professionals know how to manage dependencies, structure apps, write tests with RSpec or Minitest, and keep code maintainable as teams grow. They also work comfortably with PostgreSQL, Redis, and common deployment setups.

When companies bring in specialists

Teams usually need freelance Ruby expertise when a product needs quick delivery, a legacy Rails app needs cleanup, or a feature depends on deep backend changes. Specialists are also useful for upgrades, performance work, payment flows, and rescuing codebases that have become hard to change. They can join remote teams or work alongside in-house staff.

What strong Ruby professionals deliver

Strong professionals write clear code, cover changes with tests, and keep business logic easy to follow. They understand controllers, models, background workers, caching, and API design. They should also spot risky dependencies, reduce technical debt, and explain trade-offs in plain language.

Hiring signals

Look for specialists who have shipped real Ruby or Rails work in products similar to yours. Good signs include stable code structure, sensible testing habits, clean review comments, and a practical view of performance and security. For older systems, ask how they approach refactoring without breaking existing behavior.

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Frequently asked questions

What clients ask us most about Ruby — answered in short.

Ruby is often used for web apps, APIs, automation scripts, and backend services. Many companies also use it for internal tools, scheduled jobs, and data-heavy tasks where clear code matters. It is especially common in Ruby on Rails projects, but plain Ruby still plays a big role.

Hire a Ruby specialist when the codebase is built around Ruby or Ruby on Rails and the work needs deeper knowledge of that stack. That is especially true for refactoring, upgrades, testing, and performance tuning. A specialist will usually move faster through Rails conventions, gems, and common project structure.

Ruby is often chosen for readable code, rapid development, and mature Rails conventions. Compared with Python, it is more opinionated in web projects; compared with JavaScript, it keeps backend and frontend concerns more separated. The best choice depends on the product, but Ruby remains strong for teams that value speed and clean structure.

A strong Ruby freelancer usually knows Ruby on Rails, SQL, testing, Git, and API design. Useful extras include PostgreSQL, Redis, Sidekiq, Docker, cloud deployment, and debugging production issues. For older systems, knowledge of refactoring and upgrade paths is very helpful.

The right level depends on the task, but Ruby work often benefits from someone who has already shipped similar backend features. Small scripts or isolated fixes may need less depth, while Rails upgrades, architecture changes, and performance work need a more seasoned specialist. The key is proven work on code that resembles yours.

Most Ruby work can be done remotely because the tasks are code, tests, and reviews. On-site collaboration can help during discovery, handover, or when the team needs close support on a legacy app. In many cases, a remote specialist with clear communication is enough.

Look for clear structure, good tests, and code that is easy to change. A strong Ruby professional explains trade-offs, keeps dependencies under control, and avoids clever code that is hard to maintain. Past work on Rails apps, API projects, or rescue assignments is often the best signal.

Ruby is the language, while Ruby on Rails is the web framework built on top of it. If your project is a web product, you often need someone who knows both, because Rails conventions shape most of the work. For scripts, tools, or service code, pure Ruby may be enough.

The average hourly rate of freelancers who have used Ruby in their recent projects is 95 €, which corresponds to a daily rate of about 757 € based on an 8-hour working day.

Of the freelancers 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 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 who have used Ruby in their recent projects are English (99%), German (93%), and Spanish (17%).

The most common industries among freelancers who have used Ruby in their recent projects are Information Technology (98%), Banking and Finance (44%), and Retail (40%).

The most common business areas among freelancers 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 Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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