17.02.2026 aktualisiert


nicht verfügbar
info: nicht verfügbar bis 01.06.2026
Berlin/remote Lead Software Developer/Architect, Industrial IoT Cloud/onPrem Solutions, C#/.NET/Java
Berlin, Deutschland
Deutschland +2
Ingenieur (HTL)info: Deutschland, Spanien, Spanien (Kanarische Inseln)
Skills
Asp.NetC (Programmiersprache)HTMLJavaJavaScript.Net FrameworkPHPMicrosoft WindowsAdo.NetAPIsIBM AixAjaxAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3
C#, NET, NET Core,
Azure, Azure IoT, IoT, Azure Data Explorer, Kusto, Azure Data Factory, Azure Event Grid, Azure Event Hub, Azure IoT Hub,
Azure Industrial IoT Stack, OPC UA, GraphQL, Federation, Terraform, Kubernetes, ArgoCD, Azure DevOps, Cucumber, SpecFLOW, ATTD, TTD
C, C++, C++.NET 5 years, Python, Ruby, Perl, Shell, Java, JavaScript, ASP, ASP.NET, ASP.NET MVC 5+, IIS 13 years, JavaScript / TypeScript, jQuery, Search, SQL Server 10 years, MySQL, PostGreSQL, cloud databases, MongoDB, Microsoft, NET / C#, NET Core, SQL Server, Cloud services, Microsoft Azure, Amazon AWS, Google Cloud, backend, frontend web technologies, cloud technologies, Azure, EC2, Linux, NET, Android, Linux software development, Azure Cloud services design, microservices, IoT, Arduino development, MQTT, EventHub, Azure App Service, Azure Functions, Azure FrontDoor, Azure EventGrid, Azure EventHub, Azure Service Bus, ASP.Net Core, Queues, Data Storage, Docker, NET Core 3.1 microservice, database, ATDD, functional testing, API, event based architecture, Arduino, Azure IoT, WiFi, Bluetooth, keyboard, ASP.Net Core microservices, Azure Microservices, Signal-R, WebSockets, Service Bus, HTML, Azure CosmosDB, Rabbit MQ, cloud, refactoring, SCRUM, Elastic Search, GUI, HTML / Angular, video streaming, data processing, Amazon Web Services (Video), RTMP, TS, WebRTC, Payment systems, low latency, frontend, SQL, Data analysis, WebApi, HTML5/CSS, Azure Queues, mobile application, mobile phone, modularization, API controllers, data access layer, analytics, Data Protection, Azure Data Storage, ASP 1.1, MVC, Angular, HTML5, JavaScript/TypeScript, Angular 2, IIS, caching, Entity Framework 6, web applications, ID card readers, rights management, ASP.NET 1.1, wrappers, CSS, JavaScript frameworks, data binding, OAuth2, UI, databases, Gherkin, Jira, data access, Entity Framework, TypeScript, dependency injection, data entry, single page application, server-side, PDF generation, MVC 5 web, network connection, AJAX, Microsoft Word, parsing, MS Word, Google Docs, user stories, document versioning, immutability, ASP.NET MVC 5, UI design, document storage, search engine, ASP.NET MVC, Umbraco, Solr, Lighttpd, Linux/.Net, Amazon EC2, S3, FFMPEG, transcoding, Knockout, Bootstrap, Drupal, PHP, version control, Git, load testing, GitoLite, web application, web technologies, MS SQL server, codebase, user interface, social media, NET 4, WCF, Workflow Foundation (WF), SQL Server 2008, App, Windows Azure Cloud, APIs, quality assurance, Lexware, bugs, software architecture, coding, programming, PostSharp, SCADA, NET 1.1, NET 2.0, process control system, Routers, AIX, Windows, many programming languages, C/C++, Unix technologies, printed circuit board, Unix, CAD/CAM, Solaris, system administration, ISDN, router, visualization, programming languages, C# / .NET, C / C++, MVC 5, HTML 5, LESS, Cloud computing, EventGrid, Event Hub, Microsoft SQL Server, SQLite, NoSQL, ADO.NET, LINQ, Apache SOLR, Endeca, Faceted Search, Workflow Foundation, code generation, Natural language processing, WebServices, REST services, RPC, SOAP, Linux development, RabbitMQ, InfluxDB
Azure, Azure IoT, IoT, Azure Data Explorer, Kusto, Azure Data Factory, Azure Event Grid, Azure Event Hub, Azure IoT Hub,
Azure Industrial IoT Stack, OPC UA, GraphQL, Federation, Terraform, Kubernetes, ArgoCD, Azure DevOps, Cucumber, SpecFLOW, ATTD, TTD
C, C++, C++.NET 5 years, Python, Ruby, Perl, Shell, Java, JavaScript, ASP, ASP.NET, ASP.NET MVC 5+, IIS 13 years, JavaScript / TypeScript, jQuery, Search, SQL Server 10 years, MySQL, PostGreSQL, cloud databases, MongoDB, Microsoft, NET / C#, NET Core, SQL Server, Cloud services, Microsoft Azure, Amazon AWS, Google Cloud, backend, frontend web technologies, cloud technologies, Azure, EC2, Linux, NET, Android, Linux software development, Azure Cloud services design, microservices, IoT, Arduino development, MQTT, EventHub, Azure App Service, Azure Functions, Azure FrontDoor, Azure EventGrid, Azure EventHub, Azure Service Bus, ASP.Net Core, Queues, Data Storage, Docker, NET Core 3.1 microservice, database, ATDD, functional testing, API, event based architecture, Arduino, Azure IoT, WiFi, Bluetooth, keyboard, ASP.Net Core microservices, Azure Microservices, Signal-R, WebSockets, Service Bus, HTML, Azure CosmosDB, Rabbit MQ, cloud, refactoring, SCRUM, Elastic Search, GUI, HTML / Angular, video streaming, data processing, Amazon Web Services (Video), RTMP, TS, WebRTC, Payment systems, low latency, frontend, SQL, Data analysis, WebApi, HTML5/CSS, Azure Queues, mobile application, mobile phone, modularization, API controllers, data access layer, analytics, Data Protection, Azure Data Storage, ASP 1.1, MVC, Angular, HTML5, JavaScript/TypeScript, Angular 2, IIS, caching, Entity Framework 6, web applications, ID card readers, rights management, ASP.NET 1.1, wrappers, CSS, JavaScript frameworks, data binding, OAuth2, UI, databases, Gherkin, Jira, data access, Entity Framework, TypeScript, dependency injection, data entry, single page application, server-side, PDF generation, MVC 5 web, network connection, AJAX, Microsoft Word, parsing, MS Word, Google Docs, user stories, document versioning, immutability, ASP.NET MVC 5, UI design, document storage, search engine, ASP.NET MVC, Umbraco, Solr, Lighttpd, Linux/.Net, Amazon EC2, S3, FFMPEG, transcoding, Knockout, Bootstrap, Drupal, PHP, version control, Git, load testing, GitoLite, web application, web technologies, MS SQL server, codebase, user interface, social media, NET 4, WCF, Workflow Foundation (WF), SQL Server 2008, App, Windows Azure Cloud, APIs, quality assurance, Lexware, bugs, software architecture, coding, programming, PostSharp, SCADA, NET 1.1, NET 2.0, process control system, Routers, AIX, Windows, many programming languages, C/C++, Unix technologies, printed circuit board, Unix, CAD/CAM, Solaris, system administration, ISDN, router, visualization, programming languages, C# / .NET, C / C++, MVC 5, HTML 5, LESS, Cloud computing, EventGrid, Event Hub, Microsoft SQL Server, SQLite, NoSQL, ADO.NET, LINQ, Apache SOLR, Endeca, Faceted Search, Workflow Foundation, code generation, Natural language processing, WebServices, REST services, RPC, SOAP, Linux development, RabbitMQ, InfluxDB
Sprachen
DeutschMutterspracheEnglischverhandlungssicherNiederländischgut
Projekthistorie
Key technologies: .NET, C#, Jenkins, Kubernetes, ASP.NET, MSSQL Server, Entity Framework, ATTD/Cucumber
Tesla Automation is a division of Tesla Inc. focused on building innovative automation and production systems for Tesla’s global manufacturing efforts. The Resource Planning project supports the global planning and management of personnel, ensuring the right skillsets are deployed to the right projects at the right time.
As Lead Software Developer, I was responsible for the technical leadership and architectural evolution of the team developing the Resource Planning web application. I introduced acceptance test driven design (ATDD) and significantly overhauled the project's testing and infrastructure setup. The web application allows for global visualization and planning of employee activities, supporting real-time updates and forecasting across time zones and departments.
I guided the team in modernizing the project architecture, introduced CI/CD best practices using Azure DevOps, and improved development speed and test coverage. I also supervised improvements to the Entity Framework Core-based data access layer, increasing maintainability and performance. As part of my role, I regularly mentor developers and drive cross-team collaboration with stakeholders to align on vision and delivery.
Tesla Automation is a division of Tesla Inc. focused on building innovative automation and production systems for Tesla’s global manufacturing efforts. The Resource Planning project supports the global planning and management of personnel, ensuring the right skillsets are deployed to the right projects at the right time.
As Lead Software Developer, I was responsible for the technical leadership and architectural evolution of the team developing the Resource Planning web application. I introduced acceptance test driven design (ATDD) and significantly overhauled the project's testing and infrastructure setup. The web application allows for global visualization and planning of employee activities, supporting real-time updates and forecasting across time zones and departments.
I guided the team in modernizing the project architecture, introduced CI/CD best practices using Azure DevOps, and improved development speed and test coverage. I also supervised improvements to the Entity Framework Core-based data access layer, increasing maintainability and performance. As part of my role, I regularly mentor developers and drive cross-team collaboration with stakeholders to align on vision and delivery.
Key technologies: .NET, C#, Jenkins, Kubernetes, ASP.NET, MSSQL Server, Entity Framework, ATTD/Cucumber
Tesla Automation is a division of Tesla Inc. focused on building innovative automation and production systems for Tesla’s global manufacturing efforts. The Resource Planning project supports the global planning and management of personnel, ensuring the right skillsets are deployed to the right projects at the right time.
As Lead Software Developer, I was responsible for the technical leadership and architectural evolution of the team developing the Resource Planning web application. I introduced acceptance test driven design (ATDD) and significantly overhauled the project's testing and infrastructure setup. The web application allows for global visualization and planning of employee activities, supporting real-time updates and forecasting across time zones and departments.
I guided the team in modernizing the project architecture, introduced CI/CD best practices using Azure DevOps, and improved development speed and test coverage. I also supervised improvements to the Entity Framework Core-based data access layer, increasing maintainability and performance. As part of my role, I regularly mentor developers and drive cross-team collaboration with stakeholders to align on vision and delivery.
Tesla Automation is a division of Tesla Inc. focused on building innovative automation and production systems for Tesla’s global manufacturing efforts. The Resource Planning project supports the global planning and management of personnel, ensuring the right skillsets are deployed to the right projects at the right time.
As Lead Software Developer, I was responsible for the technical leadership and architectural evolution of the team developing the Resource Planning web application. I introduced acceptance test driven design (ATDD) and significantly overhauled the project's testing and infrastructure setup. The web application allows for global visualization and planning of employee activities, supporting real-time updates and forecasting across time zones and departments.
I guided the team in modernizing the project architecture, introduced CI/CD best practices using Azure DevOps, and improved development speed and test coverage. I also supervised improvements to the Entity Framework Core-based data access layer, increasing maintainability and performance. As part of my role, I regularly mentor developers and drive cross-team collaboration with stakeholders to align on vision and delivery.
After the successful development and deployment of an IoT platform at their daughter company “Symmedia” (2020-2022, see below), I transferred to GF Machining Solutions (GFMS) to contribute to the development of specialized applications that leverage this platform. The Machine Monitor application was designed to provide real-time visibility into machine park operations. This included displaying current job statuses, graphing key performance indicators (KPIs), and offering detailed insight into machine-raised messages. The solution also incorporated statistical analysis of events occurring on individual machines, improving operational oversight and decision making for the end-users. I also developed the Sustainability Dashboard, a system that integrates data from power sensors to track machine consumption of electricity and compressed air. The solution correlates power usage with machine states and running jobs, enabling a detailed breakdown of energy consumption per job. This functionality allows for a comparative analysis of job-level power efficiency, empowering users to optimize energy use in their manufacturing processes. A key feature is the system’s capability to process hundreds of data points samples per-second, and storing it in for years. The power curves can then be efficiently graphed and compared, and trends can be shown. For example how cleaning a filter can suddenly decrease power usage, and thus carbon emissions, by double digit percentages. This project is GFMS’s implementation of the efficiency evaluation of machines following ISO 14955 / VDMA 34179. In addition to application development, I played a key role in optimizing GFMS's cloud infrastructure. I transitioned their solution to a fully automated infrastructure management approach using Terraform, eliminating manual modifications and improving the reliability and scalability of their deployment process. I introduced unit testing frameworks using SpecFlow, enhancing the testing of critical components. I also provided Linux system engineering and consulting on broader system engineering issues, offering expertise in both cloud and on-premise environments. Key problems solved were how to design multiple microservices that process large quantities of data from thousands of machines, without having to scale out vertically. I was further responsible for DevOps operations of the existing cloud infrastructure. We developed versions of our software libraries that can be used in the cloud, but also on-prem, so that high security companies in aerospace do not need to send their data into the cloud, but can run the portal applications on-prem. For this we created abstraction layers for CosmosDB (MongoDB), EventHub (RabbitMQ), and Azure Data Explorer (InfluxDB).