Find the right Full Stack Developers in Munich in minutes from over 15,000 CVs with the power of AI.

Project: Tax Exemption Order Application

The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.

• Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
• Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
• Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
• Securing the API and the application using OAuth2, JWT, and OpenID Connect.
• Configuration and setup of CI/CD pipelines with Jenkins.
• Collaboration with cross-functional teams and conducting code reviews.

Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB

Loom and Bloom

Python · TypeScript · n8n · Claude Code · Whisper · Gemini · Supabase · Notion · HubSpot · Digital Ocean

• Built an end-to-end content pipeline: one Loom video → marketing images, bilingual LinkedIn posts, newsletter and Help Center updates.
• n8n webhook → SSH → Claude Code session on a Digital Ocean VPS; three MCP servers (video, Notion, Supabase).
• Whisper word-level transcription, ffmpeg screenshots, Gemini UI annotation, PIL device mockups.
• Next.js upload UI plus a bilingual newsletter composer with HubSpot push.

• Feasibility study for quick implementation of requirements with AI-based development (vibe coding)
• Development of a single-page web app in Angular 20
• Development of a backend server application in Kotlin
• Integration with Google Cloud Platform (Firebase): authentication, Firestore NoSQL database, storage, Cloud Functions, hosting and Cloud Run
• Integration with a NEON PostgreSQL database
• Automated AI-based analysis of Donald Trump's posts on Truth Social and analysis of relevance for stock markets and geopolitical topics
• CI/CD via GitHub Actions using Docker and Google Cloud Run
• Technical environment: Angular 20 (Angular Material, RxJS), Kotlin 2.2.20, TypeScript 5.9.3, Spring Boot 3.5.6, Google Cloud Platform (Firebase, Cloud Run, Gemini, Vertex AI), ChatGPT Codex, Git, GitHub, SourceTree, IntelliJ WebStorm, IntelliJ IDEA

• Integrated AI capabilities, including intelligent document processing and search, into existing business applications.
• Connected enterprise applications with LLM-based services to automate knowledge retrieval and improve user productivity.

Stack: Python, React, APIs, LLM Integration

• Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
• Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
• Integration of Microsoft Azure Event Grid with SAP Hybris
• Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
• Support and customization of a Spartacus shop
• Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube

• Development of Blazor-Server applications for data management
• Focus on unifying design and user experience
• Mentoring junior developers
• Establishing and consulting for coding guidelines and best practices
• Technologies: .NET 9, Blazor Server, MudBlazor, HTML, CSS, MS SQL Server (T-SQL, Views, Trigger, Stored Procedures, Table-Valued Functions), Entity Framework, Visual Studio, Scrum, agile, git

• Development of a test system
• Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
• Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
• Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
• Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial

• Designed and developed the "Credit Risk Engine" using Camunda, Node.js and Typescript
• Greenfield project for credit card credit assessment for existing and new customers, including EBA KPIs, SCHUFA and CRIF scorings
• Built and modeled workflows (BPMN) and decision logic (DMN) with Camunda Modeler in close collaboration with stakeholders
• Implemented service tasks, user tasks and jobs with Nest.js, Node.js and Typescript, including exception handling
• Backend-for-Frontend (BFF), frontend with React, Tailwind and Ant Design UI library
• CI/CD with GitLab, Kubernetes/Rancher

• Set up the new digitization strategy.
• Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
• In close cooperation with the business department, the individual processes are created and put into production.
• Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
• Gradual migration of old code from IBM WebSphere to JBoss.
• Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.

• Built and operated an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for automated deployment, monitoring and scaling of forecasting models (e.g. Temporal Fusion Transformer, Informer, Autoformer)
• Implemented CI/CD pipelines in Azure DevOps for the complete ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA clusters) through training and evaluation to model registry and endpoint deployment
• Integrated MLflow for experiment tracking, model versioning, performance monitoring and automated registration in Azure Model Registry
• Developed and containerized PyTorch training jobs with CUDA (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0
• Set up monitoring and alerting mechanisms (Prometheus, MLflow metrics), centralized logging and cost tracking
• Configured security (OAuth2) and rate limiting via APIM
• Automated infrastructure provisioning and model deployment using Terraform, Helm and Azure CLI; integrated with existing market data systems and event pipelines
• Migrated existing workloads and databases (IONOS → Azure, MongoDB) integrating them into central MLOps workflows and internal networks
• Extended the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports
• Analyzed and designed a software solution to efficiently process high-volume data (>3000 messages/sec) (market data store)
• Developed Spring Boot / Java 21 containers with RabbitMQ to distribute market data via MongoDB (Kubernetes) with fast data storage in Redis RMaps, deduplication, forwarding of messages to read model queues and building read models for UI display in MongoDB
• Integrated RESTHeart to generate a REST API for MongoDB
• Migrated to MongoDB ClickHouse for mass ingests and automatic deduplication using the ReplicatedMergeTree engine in ClickHouse
• Built a Python Apache Arrow Flight service for querying the ClickHouse DB in milliseconds for complex queries (gRPC protocol / ClickHouse column-based queries)
• Developed an Angular frontend to simplify data queries and master data maintenance
• Used agentic coding with remote and local LLMs (Claude, Ollama Qwen, OpenLLM) and MCP servers
• Created Python scripts for transforming and cleaning incoming market data (Pandas, scikit-learn)

• Development of the digital organ donation register, commissioned by the Federal Institute for Drugs and Medical Devices (BfArM)

• Implementation of user stories in multiple microservices (front- and backend)

• Ensuring quality with unit, integration, and end-to-end tests

• Conducting code reviews

• Coordination with other development teams

• Taking over software license checks and simplifying the process

• Responsible for implementing and documenting domain logging

• Setting up a development environment with Docker Compose

• Backend development of the cloud-based microservice
• Frontend development of the microfrontend
• Migration of the cloud backend environment
• Rollout of the distributed high-availability Privacy Data Service
• Technologies: Java, Kotlin, Spring Boot, REST Services, Kubernetes, Microsoft Azure, Cloud Security, OpenAPI, Postman, JavaScript, Vue.js, AngularJS, TypeScript, Micro Frontend, Redis, Kibana, Grafana, CI/CD, GitHub Actions, Jenkins, Helm Charts, Sec-Hub, Black Duck, Docker, Maven, Git, Scrum

• Role: Senior FullStack Developer
• Technologies: Google Cloud, Azure, Microsoft Entra, Keycloak, Spring Boot, Java
• Active in production

• Requirements analysis and planning of the software architecture
• Analysis and design of REST APIs
• Backend development with Java 17, Spring Boot, Spring MVC, and Spring Data
• Frontend development with Angular and TypeScript
• Setting up CI/CD pipelines
• Code review, QA, and testing
• Using MySQL, Docker, the ELK stack, and RabbitMQ