
Heroku Experts in Germany
to ship and scale cloud applications with vetted, available freelancersHire experts who deploy and operate web applications on Heroku, design reliable PostgreSQL and Redis setups, and connect CI/CD workflows with GitHub, pipelines and external cloud services. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Heroku
Robert D.
Last position:
Software Architect at FinTech / Wealth Management
- Analysis of existing microservice structures and integration into the event-driven architecture
- Design and implementation of prototypes
- Introduction of structured workflows and integration into a solid testing strategy
- Team: Small specialized team (3-5 people) from analysis through implementation readiness
- Documentation of architectural decisions and definition of interfaces
- Integration of the event-driven pipeline into the existing landscape
- Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase
Ramazan C.
Last position:
Fullstack-/DevOps Engineer at BKA (Federal Criminal Police Office)
Development and further development of an internal platform for managing and providing technical resources, virtual machines, and infrastructure services. The platform supports self-service processes and covers functions that are conceptually comparable to cloud management solutions like Azure or AWS.
- Responsible involvement in the design, development, and implementation of new backend and frontend features
- Hands-on development with Java, Spring Boot, Python, and Angular
- Implementation of REST interfaces, business logic, validations, and integrations into existing system landscapes
- Further development of modern web interfaces with Angular, including connection to backend services
- Participation in architecture and design decisions within the team, especially with regard to scalability, maintainability, and clean interfaces
- Containerization and deployment of applications with Docker, Kubernetes, and Helm
- Support with CI/CD processes and deployment to Kubernetes-based environments
- Work in the environment of vSphere, Broadcom, GitLab CI/CD, ArgoCD, Maven, npm, and NuGet
- Close collaboration with developers, business teams, DevOps, and other technical stakeholders
- Analysis of technical requirements, deriving suitable solutions, and independent implementation in an agile team
- Use of GitHub Copilot to support code generation, refactoring, test case creation, and technical documentation
Methods/ tools/ technologies: Languages & frameworks: Java (21), Spring Boot (4.x), Python, Angular, Robot Framework, Kubernetes, Helm Persistence: PostgreSQL, MongoDB, Hibernate, Liquibase Architecture & communication: REST, gRPC, GraphQL, Apache Kafka, OpenAPI, Microservices, Event Driven, Domain Driven Design Cloud & infrastructure: Terraform, Docker, Rancher, Helm, Ansible Security: OAuth2, MS (Entra ID), web security, Keycloak (extensions for detailed group rights) DevOps: GitLab CI/CD, Ansible, Maven, Gradle, Grafana, Prometheus, Git, GitHub Copilot Testing & QM: JUnit, Robot Framework, automated component and integration tests, E2E tests with Playwright, Testcontainers, EasyMock Methodology & approach: Kanban, JIRA, Confluence, Clean Code
Gwen G.
Last position:
Senior Ruby on Rails & DevOps Developer at Sapiens
Further development of a software solution for managing audit applications and audit notifications according to §106d SGB V for the Association of Statutory Health Insurance Physicians in Hamburg.
- Developed numerous features, optimised performance, refactored code and analysed errors
- Refactored the development container setup
- Optimised the Gitlab-CI build pipeline
- Introduced improvements to the team workflow
Edgardo C.
Last position:
Independent Senior Software Engineer & Integration Consultant at Thinkronic
Software engineering and integration consulting for enterprise clients, with a focus on backend development, APIs, system integration, and event-driven architectures. Currently developing and evolving a recruitment and staffing platform using Elixir and RabbitMQ, including asynchronous, event-driven communication and integrations with external recruitment and staffing platforms.
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
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
Mark G.
Last position:
Associate Data Scientist at Boehringer-Ingelheim microParts GmbH
- Enhanced the AI model monitoring solution to allow comparative analysis of model versions and full tracking of input variables with relative drift metrics for complete monitoring.
- Developed a custom LLM solution to automate the certificate of incoming goods of supply and support downstream analysis.
- Enhanced Digital Twin AI models to support model validation.
Skills: Python, Statistical Computation, Large Language Models (LLM), Machine Learning Engineering, Natural Language Processing (NLP), Data Wrangling, Data Visualization, Statistical Evaluation.
Tools: Python programming, Snowflake, Databricks, Microsoft Powerapps, Powerautomate, PowerBI, Scipy, Seaborn, Scikit-Learn.
Martin W.
Last position:
Security Auditor at MissionMe
- Environment: AWS, Ruby on Rails, GraphQL, React Native
- Penetration test for Backend, Android-App and iOS-App
Alexander S.
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Jannik J.
Last position:
Freelance Salesforce Consultant & Developer at Self-employed
- Consulted on and delivered over 30 Salesforce projects (Sales Cloud, Service Cloud, Experience Cloud, Pardot, Marketing Cloud)
- Designed and built CRM architectures, including requirements management, data modeling, and automation
- Implemented custom solutions (Apex, LWC, Flows, integrations)
- Developed interfaces with ERP, DMS, and email systems (SAP, Microsoft Dynamics, DocuWare, among others)
- Introduced agile project methods (Scrum, Kanban) in customer projects
- Coached internal Salesforce teams (admin and developer training)
Michael R.
Last position:
Software Developer
- Automatic creation of reports based on log data from the Senstar surveillance camera software regarding access times for various camera systems
- Gathering requirements and translating them into a suitable technological solution
- Implementation of Python scripts to read, process, and convert Senstar log data into PDF reports
- Reading configuration files to control the scripts
- Packaging the Python scripts and all dependencies as an executable cmd. Offline installation on Windows Server
- Providing –help parameters to list and explain the script parameters
- Creation of documentation for installing, configuring, and operating the scripts
- Technical environment: Python 3, SQL, Senstar, Windows Server, Python Setuptools, fpdf
Sascha M.
Last position:
Senior eCommerce & AI Engineer at UNIQBIT AG
Re-platforming an e-commerce shop to a microservice architecture
- Goal: Replace an outdated Shopware system with a scalable, future-proof solution based on microservices and a headless architecture.
- Led a full architecture consulting process and defined the microservice boundaries based on a headless architecture with commercetools as PIM/OMS and Next.js as the frontend solution.
- Developed and integrated several decentralized services (e.g. internationalization, personalization).
- Took over the configuration of central third-party systems such as Contentstack and Algolia.
- Built a stable cloud infrastructure on Google Cloud with monitoring via Grafana.
Technologies: commercetools, Next.js, Contentstack, Algolia, Google Cloud, Grafana, TypeScript, Shopware
Development of an international e-commerce platform
- Goal: Build a high-performance, user-friendly and international e-commerce platform.
- Defined a scalable, high-performance and maintainable software architecture that served as the foundation for the platform's international expansion.
- Selected a best-of-breed technology stack that enabled the development of an industry-leading shop and reduced development effort for new features by 30%.
- Ensured seamless integration of critical third-party systems (PIM, CRM, ERP) to guarantee end-to-end business processes and a consistent data foundation.
- Implemented comprehensive tracking and analytics tools for continuous performance monitoring and optimization of the customer journey.
Technologies: React.js, Next.js, commerceTools, Algolia, Salesforce, Heroku, CI/CD, PHP, Google Analytics
AI-powered personalization and customer data platform in e-commerce
- Goal: Replace static content with a dynamic, AI-based personalization strategy to increase user relevance and automate marketing processes.
- Designed and built a customer data platform to aggregate and combine customer and analytics data from distributed sources.
- Implemented automated categorization of customer profiles as the basis for delivering personalized content and product recommendations in the Shopware frontend.
- Developed a semantic similarity algorithm based on Python and OpenAI to calculate product and content similarity from user profiles.
- Built the technical connection to retail media platforms to control external ad placements along the customer journey.
Technologies: Shopware 6, Python 3, OpenAI, Elasticsearch, PHP, Symfony, Twig
Shopware tracking & consent architecture (GDPR) for 4 online shops
- Goal: Build a unified, GDPR-compliant tracking infrastructure across multiple shops with central consent management across several Shopware instances.
- Defined a comprehensive tracking guide and developed a modular architecture compatible across multiple Shopware versions.
- GDPR-compliant integration of Usercentrics and Adobe Launch through a central tag manager.
- Full tracking setup (page, order, product, user) incl. partner-specific tracking (Emarsys, Channelpilot, etc.).
- Detailed event and error tracking to proactively identify technical drop-offs.
Technologies: Shopware, Adobe Analytics, Usercentrics, Tag Manager, PHP, MySQL, GDPR
AI/LLM search engine with RAG and hybrid search (Python, Elasticsearch)
- Goal: Build an AI-powered search engine with RAG architecture and hybrid search to accurately match service providers from over 500,000 company records.
- Developed an automated data pipeline (web scraping + LLM) that continuously crawls company data and converts it into structured formats using LLMs.
- Implemented a RAG workflow incl. vectorization for semantic search to increase search accuracy and relevance.
- Configured and fine-tuned Elasticsearch for hybrid search (vector + keyword search).
- End-to-end development of backend API, frontend and deployment on live servers.
Technologies: Python, FastAPI, Elasticsearch, LLM, RAG, React, Docker, Web Scraping
AI/computer vision system (Python, ML) – object detection under difficult conditions
- Goal: Develop an AI-powered recognition system with reliable performance even in rain, fog, snow and darkness.
- Built and annotated a large training dataset incl. difficult conditions.
- Trained a YOLO-based object detection model; carried out systematic error analysis and improved data quality and preprocessing.
- Coordinated with stakeholders through regular status updates.
Technologies: Python, Machine Learning, TensorFlow, PyTorch, YOLO, OpenCV
Jan H.
Last position:
Technical Co-Founder at Telemarie UG
- Technical leadership & SW architecture: Conducted trade-off analyses for technology stacks and led the design and implementation of the software architecture, including mobile and backend solutions. Facilitated Event Storming workshops for DDD and SW architecture.
- Strategic direction & organizational development: Played a key role in defining the strategic direction of the product and organization, exploring new forms such as ownership responsibility.
- Lean Startup & Agile development: Introduced Lean and Agile principles, implemented Lean prototypes, and ensured compliance with Lean Startup processes, iteratively moving from Product/Solution-Fit to Product/Market-Fit.
- Team building & collaboration: Facilitated workshops, retrospectives, and futurespectives to collaboratively develop tactics and strategies.
- Technologies: Flutter, JS/TS, React, Google Cloud, Firebase, Android, iOS.
- Organizational methods: Lean startup, lean canvas, lean agile, event storming, retrospectives.
Christof H.
Last position:
Senior Frontend Developer at HUK24 AG
- Designing new apps as well as enhancing and running 29 Angular apps for digital claims in an Nx monorepo
- Maintaining and improving a shared component library with ~300 libraries for multiple product teams
- Migrating all apps to a new design system including its component library and systematic refactoring
- Developing and maintaining the CI/CD pipelines (Jenkins, Azure DevOps, Terraform, AWS)
- Managing releases independently including branch handling, versioning, PR coordination and production deployment
- Implementing and maintaining tracking (Adobe Analytics)
- Ensuring accessibility according to BFSG/WCAG
- Test-driven development (TDD) with Jest and Cypress
- Code reviews, mentoring and setting up best practices in the team
- Technologies: TypeScript, Angular 16-20, RxJS, NgRx, Nx (Monorepo), npm, HTML, (S)CSS, Storybook, Jest, Cypress, Cucumber, Husky, Node.js, Git, AWS, Azure DevOps (Repos & Pipelines), Jenkins, Terraform, TDD, BFSG, WCAG, Nexus, IntelliJ, Adobe Analytics
Patrick V.
Last position:
Senior Director, Retail Media at EUROBAUSTOFF Handelsgesellschaft mbH & Co. KG
- Strategic consulting on marketing funds (WKZ) and retail media, focusing on monetization opportunities and data-driven business models
- Conducting a portfolio analysis of existing WKZ measures to assess the revenue and ROI impact of WKZ investments on supplier performance
- Potential analysis of digital WKZ products and initiatives to identify growth and efficiency levers
- Preparing and presenting the results to management and deriving a strategic move-forward plan
- Designing and facilitating several executive workshops to develop a holistic retail media vision and transformation roadmap
- Defining and prioritizing retail media business cases for data-driven evaluation of investment options
- Developing a technical target architecture considering heterogeneous ERP infrastructures and designing an integrated loyalty program
- Designing change management, including impact analysis on organizational structures and processes
- Creating and presenting C-level decision templates
- Establishing a clear retail media governance structure and technical foundation for data-driven marketing
- Developing a roadmap for implementation in 2026
Discover over 15,000 top freelancers
Statistics of experts using Heroku
Aggregated from the professional profiles of matched freelancers.
Experience
17 years

Position duration
2.2 years

Positions per freelancer
11

Top business areas
Information Technology, Product Development, Business Intelligence

Top industries
Information Technology, Retail, Banking and Finance

Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
94%
Master's degree or higher
48%

Certifications per freelancer
1

Most common languages
English, German, Spanish

Speak two or more languages
100%
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 Heroku
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.
Heroku 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 (95%)
- Retail (47%)
- Banking and Finance (42%)
- Healthcare (42%)
- Media and Entertainment (40%)
- Professional Services (35%)
- Education (30%)
- Transportation (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Heroku in practice
Heroku is a managed platform as a service for deploying, running and scaling applications without operating the underlying servers. Teams push code through Git or connect a source repository, while the platform manages build processes, application containers, configuration and releases. It supports common runtimes such as Node.js, Ruby, Python, Java, PHP and Go.
Applications and workloads
Heroku is used for customer-facing web applications, APIs, internal tools, prototypes and event-driven services. It suits teams that need a clear path from commit to production, consistent environments and managed operational workflows.
- Launch web applications and REST or GraphQL APIs
- Create staging environments for product teams
- Connect applications to databases, queues and external services
- Run background workers and scheduled jobs
Ecosystem and tooling
The Heroku Platform includes dynos, Heroku Postgres, Heroku Redis, Private Spaces and Heroku CI. Specialists also work with add-ons, buildpacks, pipelines, review apps, logs, metrics, backups and release phases. GitHub integration, Terraform and container-based workflows may extend the delivery setup.
When expertise matters
Companies often bring in freelance expertise when an application needs a safer migration, clearer release process or stronger production controls. Germany-based teams may value professionals who can collaborate remotely across distributed groups or work on-site when architecture and operational decisions require close coordination.
- Move an application from a self-managed server or another cloud
- Refine pipelines, environments and release approvals
- Improve observability, resilience and recovery procedures
- Review platform limits, add-ons and data architecture
Skills of strong professionals
Strong Heroku professionals understand application architecture as well as the platform itself. They can diagnose failed builds, slow releases, memory pressure, worker queues and database bottlenecks. They also document configuration, secrets, access controls and rollback procedures so the team can operate the system after handover.
Choosing the right specialist
Look for evidence of production work with the relevant runtime, database and integration stack rather than familiarity with Heroku alone. Ask how the professional handles migrations, backups, incident response, observability and cost control. A good engagement ends with reproducible deployments, useful documentation and a team that understands its operating model.
Frequently asked questions
Quick answers to the questions that come up most around Heroku.
Heroku is used to deploy and operate web applications, APIs, background workers and prototypes through a managed platform. It is useful when a team wants a straightforward release path without managing the underlying operating system and server fleet.
Heroku provides a more opinionated application platform, while AWS, Azure and Google Cloud offer broader infrastructure and service choices. Heroku can reduce operational work for standard web workloads; the larger clouds may be a better fit for deep networking, specialized compute or extensive managed-service requirements.
A strong Heroku specialist should understand the application runtime, Git workflows, CI/CD, PostgreSQL, Redis, monitoring and secure configuration. Experience with Docker, Terraform, APIs and the relevant cloud provider is also useful when Heroku connects to wider infrastructure.
The right level depends on the work, not on a fixed number of years. A simple deployment may need familiarity with buildpacks, dynos, logs and pipelines, while a migration or production review calls for deeper knowledge of data movement, resilience, security and rollback planning.
Heroku can support distributed teams in Germany through shared repositories, pipelines, logs and documented operating procedures. Before starting, the company should check data-location, compliance and integration requirements, then agree on remote communication, working hours and any need for on-site collaboration.
Bring in a Heroku freelancer when releases are unreliable, an application is moving platforms, or the internal team lacks capacity for production hardening. A specialist can establish the setup, resolve difficult platform issues and transfer practical knowledge to the permanent team.
Ask for concrete examples of applications they have deployed and operated with Heroku, including the runtime, data services and release workflow involved. Discuss how they investigate incidents, protect secrets, manage migrations, monitor resource use and document the final setup.
Heroku can support complex applications when their architecture fits the platform model and its operational boundaries. For demanding workloads, assess dyno coordination, database capacity, networking, compliance, observability and integration needs before choosing it over a more customizable cloud design.
The average hourly rate of freelancers in Germany who have used Heroku in their recent projects is 96 €, which corresponds to a daily rate of about 765 € based on an 8-hour working day.
Of the freelancers in Germany who have used Heroku in their recent projects, 94% hold at least a Bachelor's degree and 48% hold at least a Master's degree.
On average, freelancers in Germany who have used Heroku 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 Germany who have used Heroku in their recent projects are English (98%), German (95%), and Spanish (19%).
The most common industries among freelancers in Germany who have used Heroku in their recent projects are Information Technology (95%), Retail (47%), and Banking and Finance (42%).
The most common business areas among freelancers in Germany who have used Heroku in their recent projects are Information Technology (98%), Product Development (93%), and Business Intelligence (49%).
Main locations of FRATCH Experts, who have recently used Heroku
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.
Request a free demo
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