25.09.2025 aktualisiert
Premiumkunde
100 % verfügbarSenior .NET Full Stack Developer / Solution Architect / Team Lead / Product Owner
Rheine, Deutschland
Rheine +500 km
University Degree: Software for Computing Machinery and Automated SystemsSkills
TrainingsdatenAsp.NetHTMLJavascript.Net FrameworkAPIsAgile MethodologieKünstliche IntelligenzAmazon Web ServicesAnalytisches DenkenAnwendungsarchitekturArchitekturConfluenceJiraHtml5AutomatisierungTest AutomationMicrosoft AzureBash ShellBig DataBootstrapBrowser-KompatibilitätC#CSSCatalystCloud ComputingCode-ReviewDatenbankenComputer EngineeringContinuous IntegrationCrystal ReportsLinuxDevopsElasticsearchEntity FrameworkJsonJqueryPythonPostgresqlMachine LearningWindows Presentation FoundationMicrosoft SilverlightMicrosoft Sql-ServerSql AzureMysqlNginxNosqlNumpyNunitOpencvOracle FinancialsGesundheitserhaltungScrumSoftware ArchitectureQualitätsmanagementRabbitmqRedisLoRaWaNEigentum an den ProduktenAzure Data LakeRequirements ManagementRisikoanalyseScipySeleniumMicrosoft SharepointSignalrSolution ArchitectureSQLStakeholder ManagementSystemarchitekturTypescriptWindows FormsWorkflowsWorkflow-Management-SystemeAzure Service BusRxjsTestenTest-Driven DevelopmentData ScienceAngular Material.NET CorePytorchFlaskInternet Of ThingsJupyterBackendGitKanbanPandasMatplotlibContainerisierungWebpackAngularJSScikit-learnIntegrationstestsKubernetesInfluxdbCassandraRavendbTeam ManagementApache KafkaCosmos DBLaptopsBitbucketBetriebssystemeFront EndTeamcityRestful ApisGPTDockerJenkinsWeb ApiProgramming LanguagesMicroservices
Backend Development
- Languages & Frameworks: C#, .NET, ASP.NET, Entity Framework, Microservices, Flask, WebAPI, Catalyst, ClearML
- Messaging & Integration: Kafka, RabbitMQ, Azure Service Bus, Azure Event Hub, SignalR
- APIs & Services: REST, Cloud-native services (Azure, AWS)
- Legacy / Enterprise: WPF, WinForms
Frontend Development
- Frameworks & Languages: Angular, Angular 13, TypeScript, JavaScript (ES6+), HTML5, CSS3
- UI & Styling: Bootstrap, Angular Material, NGX-Bootstrap, PrimeNG, TailwindCSS, NgxAdmin, NGX-Charts, responsive layouts, cross-browser compatibility
- Practices: Component-based architecture, REST API integration, state management with RxJS/NgRx
Databases & Storage
- Relational: MS SQL, Azure SQL Server, Postgres, Oracle, MySQL
- NoSQL & Distributed: Cassandra, Redis, CosmosDB, ElasticSearch, RavenDB
- Cloud & Big Data: Azure Data Lake, Azure Data Explorer, Azure Blob Storage, Minio, InfluxDB
Infrastructure & DevOps
- Containerization & Orchestration: Docker, docker-compose, Kubernetes, Helm
- CI/CD & Automation: Azure DevOps, Jenkins, TeamCity, Git
- Collaboration & Project Tools: Confluence, Jira, Traefik, Nginx
- Cloud & Deployment Practices: Microservices orchestration, IaC concepts, deployment pipelines (Azure/AWS)
Platforms & IoT
- Operating Systems: MS Windows, Linux
- IoT & Edge Devices: Azure IoT, LoRaWAN, Loxone Miniserver — device integration, telemetry, data collection
- Enterprise / Reporting Platforms: Crystal Reports, MS Reporting Services, SharePoint Services — dashboards, reporting, collaboration
Testing & Quality Assurance
- Unit & Integration Testing: NUnit, Selenium
- Performance & Load Testing: k6, Load Testing
- Practices: TDD, automated test pipelines, CI/CD integration for quality checks, code review practices
- Coverage: Frontend, backend, APIs, microservices
AI, Data Science & Machine Learning
- Languages & Frameworks: Python 3, PyTorch, Torchvision, Ultralytics, TensorRT, ONNX, PyCUDA, Albumentations, scikit-learn, Catalyst, ClearML
- Data Processing & Analysis: Pandas, NumPy, SciPy, OpenCV, Matplotlib, Seaborn, Imageio, Tesseract, UMAP, Pickle, Hydra-core
- Tools & Platforms: LangChain, Milvus, Ollama, vLLM, pgvector
- Experimentation & Notebooks: Jupyter
Soft Skills & Leadership
- Team Leadership & Mentoring: Leading cross-functional teams, coaching junior/mid-level developers, fostering collaboration
- Stakeholder Management: Requirement gathering, expectation management, translating business needs into technical solutions
- Project & Product Ownership: Agile methodologies (Scrum, Kanban), backlog prioritization, roadmap planning, sprint management
- Architecture & Design: Solution design, microservices architecture, system scalability, cloud strategy
- Communication & Collaboration: Clear documentation, presentations, workshops, cross-team alignment
- Problem Solving & Decision Making: Risk assessment, trade-off analysis, troubleshooting complex issues, mentoring developers
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicher
Projekthistorie
Describtion:
The project optimized work processes through workflow automation and chatbot development, initially evaluating n8n before implementing Dify as the primary platform. By leveraging LLMs, GenAI, and prompt optimization, automation workflows and conversational systems were built to streamline operations. Elasticsearch supported intelligent search, while integration with Jira and Confluence ensured efficient project tracking and documentation.
Technologies:
The project optimized work processes through workflow automation and chatbot development, initially evaluating n8n before implementing Dify as the primary platform. By leveraging LLMs, GenAI, and prompt optimization, automation workflows and conversational systems were built to streamline operations. Elasticsearch supported intelligent search, while integration with Jira and Confluence ensured efficient project tracking and documentation.
Technologies:
- n8n
- dify
- elastic search
- Jira
- LLM
- GenAI
- prompting
- Confluence
- Define scope and create schedules
- Communication with stakeholders
- Process modeling
- Automation workflow based on n8n
- Automation workflow based on dify
- Chatbot based on dify
- Chatbot based on n8n
- Promt optimization
- Documantation
Description:
A system for automatic neoplasm detection in the video stream of digital colonoscopy devices during endoscopic diagnosis of the inner surface of the intestine using artificial intelligence technology (computer vision).
Technologies:
A system for automatic neoplasm detection in the video stream of digital colonoscopy devices during endoscopic diagnosis of the inner surface of the intestine using artificial intelligence technology (computer vision).
Technologies:
- Python3
- DS related frameworks: pytorch, torchvision, ultralytics, tensorrt, onnx, pycuda, albumentations, catalyst, clearml scikit-learn, pandas, numpy, opencv, matplotlib, seaborn, jupyter, imageio, shapely, hydra-core, pre-commit and many others
- Analyze and define requirements
- Participate in the development of architecture and business logic
- Develop and maintain responsive, high-performance Angular applications
- Develop key functionalities
- Mentor and guide junior developers
- Design and implement user interfaces and components using the Angular framework
- Collaborate with developers, decompose tasks, and conduct reviews
- Conduct code reviews and ensure code quality
Description:
Development of a next-generation Energy Management System (EMS) MVP with a modern, scalable architecture. The stack included a .NET 9 backend integrated with InfluxDB, Postgres, Redis, Kafka, and Keycloak for data management, messaging, and security. IoT integration was enabled through the Loxone Miniserver using a customized SDK. The frontend was built with Angular, TypeScript, PrimeNG, TailwindCSS, and NGX-Charts for real-time visualization. Docker was used for containerization with plans to adopt Kubernetes for orchestration, auto-scaling, and self-healing. Grafana, Loki, and Tempo provided observability and monitoring.
Technology:
Development of a next-generation Energy Management System (EMS) MVP with a modern, scalable architecture. The stack included a .NET 9 backend integrated with InfluxDB, Postgres, Redis, Kafka, and Keycloak for data management, messaging, and security. IoT integration was enabled through the Loxone Miniserver using a customized SDK. The frontend was built with Angular, TypeScript, PrimeNG, TailwindCSS, and NGX-Charts for real-time visualization. Docker was used for containerization with plans to adopt Kubernetes for orchestration, auto-scaling, and self-healing. Grafana, Loki, and Tempo provided observability and monitoring.
Technology:
- .NET, InfluxDB, Postgres, Redis, Kafka, Keycloak
- Loxone Miniserver
- Angular, TypeScript, PrimeNG, TailwindCSS, NGX-Charts
- Docker, Kubernetes for orchestration, auto-scaling, and self-healing
- Grafana, Loki, Tempo
- Designed system architecture and technology stack for MVP EMS
- Led backend and frontend development efforts
- Integrated IoT devices via Loxone SDK customization
- Implemented real-time data processing, storage, and visualization
- Established security and identity management with Keycloak
- Set up containerized infrastructure and planned migration to Kubernetes
- Defined observability strategy using Grafana, Loki, and Tempo
- Coordinated development workflows and guided team implementation